def main(SOURCE_LINES, tempf, split_size, max_elements, progressslot=None, dtm=None, dtmThres=0):
driver = ogr.GetDriverByName("ESRI Shapefile")
if not os.path.exists(tempf):
os.mkdir(tempf)
collected_file = os.path.join(tempf, "collected.shp")
if os.path.exists(collected_file):
driver.DeleteDataSource(collected_file)
dsOutC = driver.CreateDataSource(collected_file)
outLayerC = dsOutC.CreateLayer("collected", geom_type=ogr.wkbLineString)
fDefC = outLayerC.GetLayerDefn()
ang_list = []
doublenode_list = []
dtm_list = []
# if source.shp is not a file, use it as regexp pattern
for input_file in glob.glob(SOURCE_LINES):
dsIn = driver.Open(input_file, 0) # 0 means read-only
layerIn = dsIn.GetLayer()
for feat in layerIn:
geom_ref = feat.GetGeometryRef()
if geom_ref is not None:
for i in range(0, geom_ref.GetPointCount()):
if i < geom_ref.GetPointCount()-1:
pt1 = list(geom_ref.GetPoint(i))
pt2 = list(geom_ref.GetPoint(i+1))
del pt1[2]
del pt2[2]
outGeom = ogr.Geometry(ogr.wkbLineString)
outGeom.AddPoint(*pt1)
outGeom.AddPoint(*pt2)
outFeat = ogr.Feature(fDefC)
outFeat.SetGeometry(outGeom)
outLayerC.CreateFeature(outFeat)
outFeat = None
if (pt1 == pt2):
doublenode_list.append(pt1)
if i > 0:
pt0 = list(geom_ref.GetPoint(i-1))
del pt0[2]
v10 = np.array([pt0[i]-pt1[i] for i in range(len(pt1))])
v12 = np.array([pt2[i]-pt1[i] for i in range(len(pt1))])
v10n = np.linalg.norm(v10)
v12n = np.linalg.norm(v12)
if v10n == 0 or v12n == 0:
continue
v10u = v10/v10n
v12u = v12/v12n
ang = np.arccos(np.clip(np.dot(v10u, v12u), -1.0, 1.0)) * 180/np.pi
if ang <= 90: # spitze winkel
ang_list.append([pt1, ang])
if dtm:
pt = list(geom_ref.GetPoint(i))
rlayer = dtm
dx = rlayer.rasterUnitsPerPixelX()
dy = rlayer.rasterUnitsPerPixelY()
xpos = pt[0]
ypos = pt[1]
# assume pixel = center
xll = rlayer.extent().xMinimum() + 0.5 * dx
yll = rlayer.extent().yMinimum() + 0.5 * dy
xoffs = (pt[0] - xll) % dx
yoffs = (pt[1] - yll) % dy
dtm_val_ll = rlayer.dataProvider().identify(QgsPointXY(xpos - dx / 2, ypos - dy / 2),
QgsRaster.IdentifyFormatValue).results()[1]
dtm_val_ur = rlayer.dataProvider().identify(QgsPointXY(xpos + dx / 2, ypos + dy / 2),
QgsRaster.IdentifyFormatValue).results()[1]
dtm_val_lr = rlayer.dataProvider().identify(QgsPointXY(xpos + dx / 2, ypos - dy / 2),
QgsRaster.IdentifyFormatValue).results()[1]
dtm_val_ul = rlayer.dataProvider().identify(QgsPointXY(xpos - dx / 2, ypos + dy / 2),
QgsRaster.IdentifyFormatValue).results()[1]
if all([dtm_val_ll, dtm_val_lr, dtm_val_ul, dtm_val_ur]):
a00 = dtm_val_ll
a10 = dtm_val_lr - dtm_val_ll
a01 = dtm_val_ul - dtm_val_ll
a11 = dtm_val_ur + dtm_val_ll - (dtm_val_lr + dtm_val_ul)
dtm_bilinear = a00 + a10 * xoffs + a01 * yoffs + a11 * xoffs * yoffs
if abs(pt[2] - dtm_bilinear) > dtmThres:
addPoint = True
for (p, v) in dtm_list:
if p[0] == pt[0] and p[1] == pt[1]:
addPoint=False
break
if addPoint:
dtm_list.append([pt, (dtm_bilinear-pt[2])])
SOURCE_LINES = collected_file
outLayerC = None
dsOutC = None
PROBLEMS_NAME = "problems.shp"
ERROR_NAME = "errors.shp"
if os.path.exists(os.path.join(tempf, PROBLEMS_NAME)):
driver.DeleteDataSource(os.path.join(tempf, PROBLEMS_NAME))
if os.path.exists(os.path.join(tempf, ERROR_NAME)):
driver.DeleteDataSource(os.path.join(tempf, ERROR_NAME))
# open output file for intersection points
dsOutI = driver.CreateDataSource(os.path.join(tempf, PROBLEMS_NAME))
outLayerI = dsOutI.CreateLayer(PROBLEMS_NAME[:-4], geom_type=ogr.wkbMultiPoint)
type_field = ogr.FieldDefn("TYPE", ogr.OFTString)
type_field.SetWidth(24)
value_field = ogr.FieldDefn("VAL", ogr.OFTReal)
value_field.SetPrecision(3)
value_field.SetWidth(10)
outLayerI.CreateField(type_field)
outLayerI.CreateField(value_field)
fDefI = outLayerI.GetLayerDefn()
# open output file for error areas (>max_elements geoms)
dsOutE = driver.CreateDataSource(os.path.join(tempf, ERROR_NAME))
outLayerE = dsOutE.CreateLayer(ERROR_NAME[:-4], geom_type=ogr.wkbPolygon)
fDefE = outLayerE.GetLayerDefn()
# open input file
dsIn = driver.Open(SOURCE_LINES, 0) # 0 means read-only
try:
dsIn.ExecuteSQL("CREATE SPATIAL INDEX ON %s"%os.path.basename(SOURCE_LINES[:-4]))
except:
pass
layerIn = dsIn.GetLayer()
areas = []
if split_size > 0:
(xmin, xmax, ymin, ymax) = layerIn.GetExtent()
xcurr = xmin
i = 0
while xcurr < xmax:
ycurr = ymin
while ycurr < ymax:
i += 1
rect = ogr.Geometry(ogr.wkbPolygon)
ring = ogr.Geometry(ogr.wkbLinearRing)
ring.AddPoint(xcurr, ycurr)
ring.AddPoint(xcurr + split_size, ycurr)
ring.AddPoint(xcurr + split_size, ycurr + split_size)
ring.AddPoint(xcurr, ycurr + split_size)
ring.AddPoint(xcurr, ycurr)
rect.AddGeometry(ring)
areas.append(rect)
ycurr += split_size
xcurr += split_size
else:
areas.append(None)
for (pt, val) in ang_list:
outFeat = ogr.Feature(fDefI)
outFeat.SetField("TYPE", "angle")
outFeat.SetField("VAL", val)
geom = ogr.Geometry(ogr.wkbMultiPoint)
pgeom = ogr.Geometry(ogr.wkbPoint)
pgeom.AddPoint(*pt)
geom.AddGeometry(pgeom)
outFeat.SetGeometryDirectly(geom)
outLayerI.CreateFeature(outFeat)
outFeat = None
for (pt, val) in dtm_list:
outFeat = ogr.Feature(fDefI)
outFeat.SetField("TYPE", "distance")
outFeat.SetField("VAL", val)
geom = ogr.Geometry(ogr.wkbMultiPoint)
pgeom = ogr.Geometry(ogr.wkbPoint)
pgeom.AddPoint(*pt)
geom.AddGeometry(pgeom)
outFeat.SetGeometryDirectly(geom)
outLayerI.CreateFeature(outFeat)
outFeat = None
for pt in doublenode_list:
outFeat = ogr.Feature(fDefI)
outFeat.SetField("TYPE", "double node")
geom = ogr.Geometry(ogr.wkbMultiPoint)
pgeom = ogr.Geometry(ogr.wkbPoint)
pgeom.AddPoint(*pt)
geom.AddGeometry(pgeom)
outFeat.SetGeometryDirectly(geom)
outLayerI.CreateFeature(outFeat)
outFeat = None
k = len(areas)
counts = {
'intersection': 0,
'double lines': 0,
'overlap': 0,
'close': 0,
'errors': 0,
}
for (j, area) in enumerate(areas):
layerIn.ResetReading()
layerIn.SetSpatialFilter(area)
geometries = []
if progressslot:
progressslot.emit(j*100./k)
for feat in layerIn:
geomref = feat.GetGeometryRef()
geometries.append(geomref.Clone())
while len(geometries) > 0:
currgeom = geometries.pop(0)
i = len(geometries)
if i > max_elements:
f = ogr.Feature(fDefE)
f.SetGeometry(area)
outLayerE.CreateFeature(f)
f = None
geometries = []
counts['errors'] += 1
continue
for comparegeom in geometries:
if currgeom.Intersects(comparegeom):
if currgeom.Crosses(comparegeom):
outFeat = ogr.Feature(fDefI)
outFeat.SetField("TYPE", "intersection")
outFeat.SetGeometry(ogr.ForceToMultiPoint(currgeom.Intersection(comparegeom)))
outLayerI.CreateFeature(outFeat)
outFeat = None
counts['intersection'] += 1
if currgeom.Within(comparegeom) or currgeom.Contains(comparegeom): # order-dependent, complimentary
outFeat = ogr.Feature(fDefI)
outFeat.SetField("TYPE", "double line")
outFeat.SetGeometry(ogr.ForceToMultiPoint(currgeom.Centroid()))
outLayerI.CreateFeature(outFeat)
outFeat = None
counts['double lines'] += 1
if currgeom.Overlaps(comparegeom):
outFeat = ogr.Feature(fDefI)
outFeat.SetField("TYPE", "overlap")
outFeat.SetGeometry(ogr.ForceToMultiPoint(currgeom.Centroid()))
outLayerI.CreateFeature(outFeat)
outFeat = None
counts['overlap'] += 1
dist = currgeom.Distance(comparegeom)
if 0 < dist < 0.02:
outFeat = ogr.Feature(fDefI)
outFeat.SetField("TYPE", "close")
outFeat.SetField("VAL", dist)
outFeat.SetGeometry(ogr.ForceToMultiPoint(currgeom.Centroid()))
outLayerI.CreateFeature(outFeat)
outFeat = None
counts['close'] += 1
def openOGR():
#Source: That site was very helpfull: http://nullege.com/codes/show/src%40v%40e%40vectorformats-0.1%40vectorformats%40Formats%40OGR.py/85/ogr.Geometry.AddPoint_2D/python
#source = "/media/Speicher/Daten/Testdaten/polygons.shp"
#source = "/home/ralf/Grunddaten/testdaten/ne_110m_admin_0_countries.shp"
source = "/media/Speicher/Daten/Testdaten/ne_110m_admin_0_countries.shp"
#source = "/media/Speicher/Daten/Testdaten/points.shp"
#source = "/media/Speicher/Daten/Testdaten/points_simple.shp"
#source = "/media/Speicher/Daten/Testdaten/lines.shp"
#source = "/home/ralf/Grunddaten/testdaten/lines.shp"
#ds = ogr.Open( "/media/Speicher/Daten/vogtland/points-vgtl-27-01-12.shp")
ds = ogr.Open(source)
#+++Output+++
destination = source.split('.')[0] + '_new.shp'
if os.system('find ' + destination) == 0:
cache = destination.split('shp')[0] + '*'
os.system('rm ' + cache)
print "Had to delete"
driverName = "ESRI Shapefile"
drv = ogr.GetDriverByName(driverName)
dn = drv.CreateDataSource(destination)
#+++
if ds is None:
print "Open failed.\n"
#sys.exit( 1 )
else:
print "Number of Layers: " + str(ds.GetLayerCount())
for i in xrange(ds.GetLayerCount()):
layer = ds.GetLayer(i)
layer.ResetReading()
print "Number of Features: " + str(layer.GetFeatureCount())
#+++Output+++
test = layer.GetFeature(0)
test2 = test.GetGeometryRef()
print 'type: ' + str(test2.GetGeometryType())
newLayer = dn.CreateLayer("layer" + str(i), None,
test2.GetGeometryType())
#+++
print layer.GetExtent()
for index in xrange(layer.GetFeatureCount()):
feature = layer.GetFeature(index)
geometry = feature.GetGeometryRef()
geometryN = ogr.Geometry(type=geometry.GetGeometryType()) #+++
f = ogr.Feature(feature_def=newLayer.GetLayerDefn()) #+++
if geometry.GetGeometryType() == ogr.wkbMultiPolygon:
#print "MultiPolygon" + str(geometry.GetGeometryCount())
gpoly = ogr.Geometry(type=ogr.wkbPolygon) #+++
for x in xrange(geometry.GetGeometryCount()):
#print "loop - geometries"
ring = geometry.GetGeometryRef(x)
points = badPointExtruder(str(ring))
#print ring.GetPointCount()
#points = ring.GetPointCount() ... doesn't work!
gring = ogr.Geometry(type=ogr.wkbLinearRing) #+++
for p in xrange(len(points[0])):
#print "loop - points"
#would be better...but doesn't work
#lon, lat, z = ring.GetPoint(p)
#gring.AddPoint_2D(lon, lat)
#print float(points[0][p])
gring.AddPoint_2D(float(points[0][p]),
float(points[1][p])) #+++
gpoly.AddGeometry(gring) #+++
geometryN.AddGeometry(gpoly) #+++
elif geometry.GetGeometryType() == ogr.wkbPolygon:
# print "Polygon"
ring = geometry.GetGeometryRef(0)
points = ring.GetPointCount()
gring = ogr.Geometry(type=ogr.wkbLinearRing) #+++
for p in xrange(points):
lon, lat, z = ring.GetPoint(p)
gring.AddPoint_2D(lon, lat) #+++
geometryN.AddGeometry(gring) #+++
elif geometry.GetGeometryType() == ogr.wkbPoint:
# print "Point"
lon, lat, z = geometry.GetPoint()
geometryN.AddPoint_2D(lon, lat) #+++
elif geometry.GetGeometryType() == ogr.wkbMultiPoint:
# print "Multipoint"
#points = geometry.GetGeometryCount()
points = secondBadPointExtruder(str(geometry))
for p in xrange(len(points[0])):
gring = ogr.Geometry(type=ogr.wkbPoint)
gring.AddPoint_2D(float(points[0][p]),
float(points[1][p]))
geometryN.AddGeometry(gring)
# lon, lat, z = geometry.GetPoint(p)
# print geometry
#geometryN.AddPoint_2D(lon, lat)
elif geometry.GetGeometryType() == ogr.wkbLineString:
# print "LineString"
points = geometry.GetPointCount()
for p in xrange(points - 1):
lon, lat, z = geometry.GetPoint(p)
geometryN.AddPoint_2D(lon, lat) #+++
elif geometry.GetGeometryType() == ogr.wkbMultiLineString:
# print "MultiLineString"
for y in xrange(geometry.GetGeometryCount()):
ring = geometry.GetGeometryRef(y)
points = ring.GetPointCount()
gring = ogr.Geometry(type=ogr.wkbLineString) #+++
for p in xrange(points):
lon, lat, z = ring.GetPoint(p)
gring.AddPoint_2D(lon, lat) #+++
geometryN.AddGeometry(gring) #+++
f.SetGeometry(geometryN) #+++
newLayer.CreateFeature(f) #+++
def checkextension(self, path):
"""
Descrpition: check the gdb
"""
try:
logs_text = self.conf_param['logsText']["GDB"]
open_file_GDB = ogr.GetDriverByName("OpenFileGDB")
self.ds = open_file_GDB.Open(path, 0)
if self.ds != None:
n = 0
layer_dictionary = {}
field_name_array = []
while n < self.ds.GetLayerCount():
name = self.ds.GetLayer(n).GetName()
if not CommonFunctions.checkLayerNomenclature(
self, self.activ_code, self.root, name):
_nameCorrect = False
err = self.conf_param['logsText']['namingconvention'][
'incorrect'].copy()
initial_err = self.activ_code + "|" + CommonFunctions.split_root(
self, self.root, self.activ_code
) + "|" + name + "|" + self.logFile.getCatValue(
self.conf_param['logsText']['namingconvention']
) + "|" + self.logFile.getIssueValue(
self.conf_param['logsText']
['namingconvention']) + "|"
err.insert(0, initial_err)
self.logFile.writelogs(err)
aoi = None
layer_dictionary[name] = {
'GeometryType': self.ds.GetLayer(n).GetGeomType(),
'LayerObject': self.ds.GetLayer(n),
}
layer = self.ds.GetLayer(n).GetLayerDefn()
for d in range(layer.GetFieldCount()):
field_name_array.append(
layer.GetFieldDefn(d).GetName())
self._checkattributes(layer, field_name_array)
layer_dictionary[name]["Field"] = field_name_array
n += 1
#print (layer_dictionary)
#print ("a")
self.checkgeometry(layer_dictionary)
else:
inital_text_error = self.activ_code + "|" + CommonFunctions.split_root(
self, self.root, self.activ_code
) + "|" + name + "|" + self.logFile.getCatValue(
self.conf_param['VectorFormats'][
self.type]) + "|" + self.logFile.getIssueValue(
self.conf_param['VectorFormats'][self.type]) + "|"
geojson = logs_text["extension"]["NoExist"]
geojson.insert(0, inital_text_error)
self.logFile.writelogs(geojson)
geojson.pop(0)
except Exception as ex:
e = self.conf_param['logsText']["KML"]["extension"]["keyError"]
inital_text_error = self.activ_code + "|" + CommonFunctions.split_root(
self, self.root,
self.activ_code) + "|" + name + "|" + self.logFile.getCatValue(
self.conf_param['VectorFormats'][
self.type]) + "|" + self.logFile.getIssueValue(
self.conf_param['VectorFormats'][self.type]) + "|"
e.insert(0, inital_text_error)
e.insert(1, str(ex))
self.logFile.writelogs(e)
e.pop(1)
e.pop(1)
def build_shp(contribs, shp, args, params):
logger.info("Creating shapefile of image boundaries: %s", shp)
fields = (
("IMAGENAME", ogr.OFTString, 100),
("SENSOR", ogr.OFTString, 10),
("ACQDATE", ogr.OFTString, 10),
("CAT_ID", ogr.OFTString, 30),
("RESOLUTION", ogr.OFTReal, 0),
("OFF_NADIR", ogr.OFTReal, 0),
("SUN_ELEV", ogr.OFTReal, 0),
("SUN_AZ", ogr.OFTReal, 0),
("SAT_ELEV", ogr.OFTReal, 0),
("SAT_AZ", ogr.OFTReal, 0),
("CLOUDCOVER", ogr.OFTReal, 0),
("TDI", ogr.OFTReal, 0),
("DATE_DIFF", ogr.OFTReal, 0),
("SCORE", ogr.OFTReal, 0),
)
if args.calc_stats is True:
fields = fields + (
("STATS_MIN", ogr.OFTString, 80),
("STATS_MAX", ogr.OFTString, 80),
("STATS_STD", ogr.OFTString, 80),
("STATS_MEAN", ogr.OFTString, 80),
("STATS_PXCT", ogr.OFTString, 80)
)
if params.median_remove is True:
fields = fields + (
("MEDIAN", ogr.OFTString, 80),
)
OGR_DRIVER = "ESRI Shapefile"
ogrDriver = ogr.GetDriverByName(OGR_DRIVER)
if ogrDriver is None:
logger.info("OGR: Driver %s is not available", OGR_DRIVER)
sys.exit(-1)
if os.path.isfile(shp):
ogrDriver.DeleteDataSource(shp)
vds = ogrDriver.CreateDataSource(shp)
if vds is None:
logger.info("Could not create shp")
sys.exit(-1)
shpd, shpn = os.path.split(shp)
shpbn, shpe = os.path.splitext(shpn)
rp = utils.osr_srs_preserve_axis_order(osr.SpatialReference())
rp.ImportFromWkt(params.proj)
lyr = vds.CreateLayer(shpbn, rp, ogr.wkbPolygon)
if lyr is None:
logger.info("ERROR: Failed to create layer: %s", shpbn)
sys.exit(-1)
for fld, fdef, flen in fields:
field_defn = ogr.FieldDefn(fld, fdef)
if fdef == ogr.OFTString:
field_defn.SetWidth(flen)
if lyr.CreateField(field_defn) != 0:
logger.info("ERROR: Failed to create field: %s", fld)
for iinfo, geom in contribs:
feat = ogr.Feature(lyr.GetLayerDefn())
feat.SetField("IMAGENAME", iinfo.srcfn)
feat.SetField("SENSOR", iinfo.sensor)
feat.SetField("ACQDATE", iinfo.acqdate.strftime("%Y-%m-%d"))
feat.SetField("CAT_ID", iinfo.catid)
feat.SetField("OFF_NADIR", iinfo.ona)
feat.SetField("SUN_ELEV", iinfo.sunel)
feat.SetField("SUN_AZ", iinfo.sunaz)
feat.SetField("SAT_ELEV", iinfo.satel)
feat.SetField("SAT_AZ", iinfo.sataz)
feat.SetField("CLOUDCOVER", iinfo.cloudcover)
feat.SetField("SCORE", iinfo.score)
tdi = iinfo.tdi if iinfo.tdi else 0
feat.SetField("TDI", tdi)
date_diff = iinfo.date_diff if iinfo.date_diff else -9999
feat.SetField("DATE_DIFF", date_diff)
res = ((iinfo.xres+iinfo.yres)/2.0) if iinfo.xres else 0
feat.SetField("RESOLUTION", res)
if args.calc_stats:
if len(iinfo.stat_dct) > 0:
min_list = []
max_list = []
mean_list = []
stdev_list = []
px_cnt_list = []
keys = list(iinfo.stat_dct.keys())
keys.sort()
for band in keys:
imin, imax, imean, istdev = iinfo.stat_dct[band]
ipx_cnt = iinfo.datapixelcount_dct[band]
min_list.append(str(imin))
max_list.append(str(imax))
mean_list.append(str(imean))
stdev_list.append(str(istdev))
px_cnt_list.append(str(ipx_cnt))
feat.SetField("STATS_MIN", ",".join(min_list))
feat.SetField("STATS_MAX", ",".join(max_list))
feat.SetField("STATS_MEAN", ",".join(mean_list))
feat.SetField("STATS_STD", ",".join(stdev_list))
feat.SetField("STATS_PXCT", ",".join(px_cnt_list))
if params.median_remove is True:
keys = list(iinfo.median.keys())
keys.sort()
median_list = [str(iinfo.median[band]) for band in keys]
feat.SetField("MEDIAN", ",".join(median_list))
#logger.info("median = %s", ",".join(median_list))
feat.SetGeometry(geom)
if lyr.CreateFeature(feat) != 0:
logger.info("ERROR: Could not create feature for image %s", iinfo.srcfn)
feat.Destroy()
def ogr_vrt_14():
if gdaltest.vrt_ds is None:
return 'skip'
gdal.PushErrorHandler('CPLQuietErrorHandler')
try:
ogr.GetDriverByName('ESRI Shapefile').DeleteDataSource('tmp/test.shp')
except:
pass
gdal.PopErrorHandler()
shp_ds = ogr.GetDriverByName('ESRI Shapefile').CreateDataSource(
'tmp/test.shp')
shp_lyr = shp_ds.CreateLayer('test')
feat = ogr.Feature(shp_lyr.GetLayerDefn())
geom = ogr.CreateGeometryFromWkt('POINT (-10 49)')
feat.SetGeometryDirectly(geom)
shp_lyr.CreateFeature(feat)
feat.Destroy()
feat = ogr.Feature(shp_lyr.GetLayerDefn())
geom = ogr.CreateGeometryFromWkt('POINT (-10 49)')
feat.SetGeometryDirectly(geom)
shp_lyr.CreateFeature(feat)
feat.Destroy()
feat = ogr.Feature(shp_lyr.GetLayerDefn())
geom = ogr.CreateGeometryFromWkt('POINT (2 49)')
feat.SetGeometryDirectly(geom)
shp_lyr.CreateFeature(feat)
feat.Destroy()
feat = ogr.Feature(shp_lyr.GetLayerDefn())
geom = ogr.CreateGeometryFromWkt('POINT (-10 49)')
feat.SetGeometryDirectly(geom)
shp_lyr.CreateFeature(feat)
feat.Destroy()
shp_ds.ExecuteSQL('CREATE SPATIAL INDEX on test')
shp_ds.Destroy()
vrt_xml = """
<OGRVRTDataSource>
<OGRVRTLayer name="test">
<SrcDataSource relativeToVRT="0">tmp/test.shp</SrcDataSource>
<SrcLayer>test</SrcLayer>
<SrcRegion>POLYGON((0 40,0 50,10 50,10 40,0 40))</SrcRegion>
</OGRVRTLayer>
</OGRVRTDataSource>"""
vrt_ds = ogr.Open(vrt_xml)
vrt_lyr = vrt_ds.GetLayerByName('test')
if vrt_lyr.TestCapability(ogr.OLCFastSpatialFilter) != 1:
gdaltest.post_reason('Fast filter not set.')
return 'fail'
extent = vrt_lyr.GetExtent()
if extent != (2.0, 2.0, 49.0, 49.0):
gdaltest.post_reason('wrong extent')
print(extent)
return 'fail'
if vrt_lyr.GetFeatureCount() != 1:
gdaltest.post_reason('Feature count not one as expected.')
return 'fail'
feat = vrt_lyr.GetNextFeature()
if feat.GetFID() != 2:
gdaltest.post_reason('did not get fid 2.')
return 'fail'
geom = feat.GetGeometryRef()
if geom.ExportToWkt() != 'POINT (2 49)':
gdaltest.post_reason('did not get expected point geometry.')
return 'fail'
feat.Destroy()
vrt_lyr.SetSpatialFilterRect(1, 41, 3, 49.5)
if vrt_lyr.GetFeatureCount() != 1:
if gdal.GetLastErrorMsg().find('GEOS support not enabled') != -1:
ogr.GetDriverByName('ESRI Shapefile').DeleteDataSource(
'tmp/test.shp')
return 'skip'
print(vrt_lyr.GetFeatureCount())
gdaltest.post_reason('did not get one feature on rect spatial filter.')
return 'fail'
vrt_lyr.SetSpatialFilterRect(1, 41, 3, 48.5)
if vrt_lyr.GetFeatureCount() != 0:
gdaltest.post_reason('Did not get expected zero feature count.')
return 'fail'
vrt_lyr.SetSpatialFilter(None)
if vrt_lyr.GetFeatureCount() != 1:
gdaltest.post_reason(
'Did not get expected one feature count with no filter.')
return 'fail'
vrt_ds.Destroy()
vrt_ds = None
ogr.GetDriverByName('ESRI Shapefile').DeleteDataSource('tmp/test.shp')
return 'success'
def main():
counter = 0
if (type == "rail"):
field = "railway"
elif (type == "road"):
field = "category"
## Modify: Lines 40 to 50
extension = os.path.splitext(inputPath)[1]
if (extension == ".shp"):
driver = ogr.GetDriverByName("ESRI Shapefile")
elif (extension == ".sqlite"):
driver = ogr.GetDriverByName("SQLite")
fd = ogr.FieldDefn("bwidth", ogr.OFTReal)
dataSource = driver.Open(inputPath, 1)
fd = ogr.FieldDefn("bwidth", ogr.OFTReal)
fd2 = ogr.FieldDefn("layer", ogr.OFTInteger)
fd3 = ogr.FieldDefn("brdtun", ogr.OFTInteger)
dataSource = driver.Open(inputPath, 1)
layer = dataSource.GetLayer()
layer.CreateField(fd)
layer.CreateField(fd2)
layer.CreateField(fd3)
inLayerDefn = layer.GetLayerDefn()
featureCount = layer.GetFeatureCount()
#using spatial reference from jpn_equi.shp to create buffer
dataset = driver.Open(inputPath)
layer2 = dataset.GetLayer()
sref = layer2.GetSpatialRef()
if not os.path.exists(bufferDir + "/" + country):
os.makedirs(bufferDir + "/" + country)
base = os.path.basename(inputPath)
fn = os.path.splitext(base)[0]
if (extension == ".shp"):
bufferedFilePath = bufferDir + "/" + country + "/" + fn + ".shp"
elif (extension == ".sqlite"):
bufferedFilePath = bufferDir + "/" + country + "/" + fn + ".sqlite"
bufferedFile = driver.CreateDataSource(bufferedFilePath)
bufferedLayer = bufferedFile.CreateLayer(bufferedFilePath,
sref,
geom_type=ogr.wkbPolygon)
bufferedFeaturedfn = bufferedLayer.GetLayerDefn()
for i in range(0, inLayerDefn.GetFieldCount()):
fieldDefn = inLayerDefn.GetFieldDefn(i)
bufferedLayer.CreateField(fieldDefn)
if (field == "category"):
for feature in layer:
counter = counter + 1
print(str(counter) + " / " + str(featureCount))
# bridges and tunnels
if (feature.GetField("bridge") != None
and feature.GetField("category") == "motorway"):
feature.SetField("brdtun", 3)
elif (feature.GetField("bridge") != None
and feature.GetField("category") == "motorway_link"):
feature.SetField("brdtun", 3)
elif (feature.GetField("bridge") != None):
feature.SetField("brdtun", 1)
elif (feature.GetField("tunnel") == "yes"):
feature.SetField("brdtun", 2)
else:
feature.SetField("brdtun", 4)
# for highways
if (feature.GetField(field) == "bridleway"):
feature.SetField("layer", 24)
elif (feature.GetField(field) == "construction"):
feature.SetField("layer", 27)
elif (feature.GetField(field) == "cycleway"):
feature.SetField("layer", 23)
elif (feature.GetField(field) == "footway"):
feature.SetField("layer", 22)
elif (feature.GetField(field) == "living_street"):
feature.SetField("layer", 13)
elif (feature.GetField(field) == "motorway"
and feature.GetField("bridge") != None):
feature.SetField("layer", 33)
elif (feature.GetField(field) == "motorway"
and feature.GetField("bridge") == None):
feature.SetField("layer", 1)
elif (feature.GetField(field) == "motorway_link"
and feature.GetField("bridge") != None):
feature.SetField("layer", 34)
elif (feature.GetField(field) == "motorway_link"
and feature.GetField("bridge") == None):
feature.SetField("layer", 2)
elif (feature.GetField(field) == "path"):
feature.SetField("layer", 21)
elif (feature.GetField(field) == "pedestrian"):
feature.SetField("layer", 26)
elif (feature.GetField(field) == "platform"):
feature.SetField("layer", 32)
elif (feature.GetField(field) == "primary"):
feature.SetField("layer", 3)
elif (feature.GetField(field) == "primary_link"):
feature.SetField("layer", 4)
elif (feature.GetField(field) == "raceway"):
feature.SetField("layer", 28)
elif (feature.GetField(field) == "residential"):
feature.SetField("layer", 12)
elif (feature.GetField(field) == "rest_area"):
feature.SetField("layer", 29)
elif (feature.GetField(field) == "road"):
feature.SetField("layer", 30)
elif (feature.GetField(field) == "secondary"):
feature.SetField("layer", 7)
elif (feature.GetField(field) == "secondary_link"):
feature.SetField("layer", 8)
elif (feature.GetField(field) == "service"):
feature.SetField("layer", 14)
elif (feature.GetField(field) == "services"):
feature.SetField("layer", 31)
elif (feature.GetField(field) == "steps"):
feature.SetField("layer", 25)
elif (feature.GetField(field) == "tertiary"):
feature.SetField("layer", 9)
elif (feature.GetField(field) == "tertiary_link"):
feature.SetField("layer", 10)
elif (feature.GetField(field) == "track_1"):
feature.SetField("layer", 15)
elif (feature.GetField(field) == "track_2"):
feature.SetField("layer", 16)
elif (feature.GetField(field) == "track_3"):
feature.SetField("layer", 17)
elif (feature.GetField(field) == "track_4"):
feature.SetField("layer", 18)
elif (feature.GetField(field) == "track_5"):
feature.SetField("layer", 19)
elif (feature.GetField(field) == "track_na"):
feature.SetField("layer", 20)
elif (feature.GetField(field) == "trunk"):
feature.SetField("layer", 5)
elif (feature.GetField(field) == "trunk_link"):
feature.SetField("layer", 6)
elif (feature.GetField(field) == "unclassified"):
feature.SetField("layer", 11)
else:
feature.SetField("layer", 99)
if (feature.GetField("bridge") != None
and feature.GetField(field) != "motorway"
and feature.GetField(field) != "motorway_link"):
feature.SetField("layer", 35)
if (feature.GetField(field) == None):
layer.DeleteFeature(feature.GetFID())
continue
if (feature.GetField("layer") > 35):
layer.DeleteFeature(feature.GetFID())
continue
layer.SetFeature(feature)
### buffer widths
if (feature.GetField(field) == "motorway"):
bfwidth = 13.6
elif (feature.GetField(field) == "motorway_link"):
bfwidth = 6.5
elif (feature.GetField(field) == "primary"):
bfwidth = 6.0
elif (feature.GetField(field) == "primary_link"):
bfwidth = 5.5
elif (feature.GetField(field) == "trunk"):
bfwidth = 9.6
elif (feature.GetField(field) == "trunk_link"):
bfwidth = 6.5
elif (feature.GetField(field) == "secondary"):
bfwidth = 5.3
elif (feature.GetField(field) == "secondary_link"):
bfwidth = 5.1
elif (feature.GetField(field) == "tertiary"):
bfwidth = 4.9
elif (feature.GetField(field) == "tertiary_link"):
bfwidth = 4.5
elif (feature.GetField(field) == "unclassified"):
bfwidth = 4.5
elif (feature.GetField(field) == "residential"):
bfwidth = 4.5
elif (feature.GetField(field) == "living_street"):
bfwidth = 4.5
elif (feature.GetField(field) == "service"):
bfwidth = 2.5
elif (feature.GetField(field) == "track_1"):
bfwidth = 2.5
elif (feature.GetField(field) == "track_2"):
bfwidth = 2.5
elif (feature.GetField(field) == "track_3"):
bfwidth = 2
elif (feature.GetField(field) == "track_4"):
bfwidth = 2
elif (feature.GetField(field) == "track_5"):
bfwidth = 2
elif (feature.GetField(field) == "track_na"):
bfwidth = 2
elif (feature.GetField(field) == "path"):
bfwidth = 1
elif (feature.GetField(field) == "footway"):
bfwidth = 1.8
elif (feature.GetField(field) == "cycleway"):
bfwidth = 1.5
elif (feature.GetField(field) == "bridleway"):
bfwidth = 1.5
elif (feature.GetField(field) == "steps"):
bfwidth = 1.5
elif (feature.GetField(field) == "pedestrian"):
bfwidth = 4
elif (feature.GetField(field) == "construction"):
bfwidth = 3
elif (feature.GetField(field) == "raceway"):
bfwidth = 3.6
elif (feature.GetField(field) == "rest_area"):
bfwidth = 6
elif (feature.GetField(field) == "road"):
bfwidth = 4
elif (feature.GetField(field) == "services"):
bfwidth = 6
elif (feature.GetField(field) == "platform"):
bfwidth = 1.8
elif (feature.GetField(field) == "motorway on brid"):
bfwidth = 13.6
elif (feature.GetField(field) == "motorway_link on bridge"):
bfwidth = 6.5
else:
bfwidth = 99999
continue
if (feature.GetField(field) == None):
layer.DeleteFeature(feature.GetFID())
if (bfwidth > 100):
layer.DeleteFeature(feature.GetFID())
feature.SetField("bwidth", bfwidth)
layer.SetFeature(feature)
# This creates a buffer feature
if (feature.GetField("layer") < 36 and bfwidth < 100):
featureGeom = feature.GetGeometryRef()
bufferGeom = featureGeom.Buffer(bfwidth)
outFeature = ogr.Feature(bufferedFeaturedfn)
outFeature.SetGeometry(bufferGeom)
for i in range(0, bufferedFeaturedfn.GetFieldCount()):
outFeature.SetField(
bufferedFeaturedfn.GetFieldDefn(i).GetNameRef(),
feature.GetField(i))
bufferedLayer.CreateFeature(outFeature)
outFeature = None
if (field == "railway"):
for feature in layer:
counter = counter + 1
print(str(counter) + " / " + str(featureCount))
# # bridges and tunnels
if (feature.GetField("bridge") != None):
feature.SetField("brdtun", 1)
elif (feature.GetField("tunnel") == "yes"):
feature.SetField("brdtun", 2)
else:
feature.SetField("brdtun", 3)
if (feature.GetField(field) == "abandoned"):
feature.SetField("layer", 2)
elif (feature.GetField(field) == "construction"):
feature.SetField("layer", 10)
elif (feature.GetField(field) == "disused"):
feature.SetField("layer", 3)
elif (feature.GetField(field) == "funicular"):
feature.SetField("layer", 13)
elif (feature.GetField(field) == "light_rail"):
feature.SetField("layer", 5)
elif (feature.GetField(field) == "miniature"):
feature.SetField("layer", 15)
elif (feature.GetField(field) == "monorail"):
feature.SetField("layer", 14)
elif (feature.GetField(field) == "narrow_gauge"):
feature.SetField("layer", 7)
elif (feature.GetField(field) == "preserved"):
feature.SetField("layer", 8)
elif (feature.GetField(field) == "rail"):
feature.SetField("layer", 1)
elif (feature.GetField(field) == "subway"
and feature.GetField("tunnel") == "yes"):
feature.SetField("layer", 6)
elif (feature.GetField(field) == "subway"
and feature.GetField("tunnel") == "no"
and feature.GetField("bridge") == "yes"):
feature.SetField("layer", 11)
elif (feature.GetField(field) == "subway"
and feature.GetField("tunnel") == "no"
and feature.GetField("bridge") == "viaduct"):
feature.SetField("layer", 11)
elif (feature.GetField(field) == "subway"
and feature.GetField("tunnel") == None
and feature.GetField("bridge") == "yes"):
feature.SetField("layer", 11)
elif (feature.GetField(field) == "subway"
and feature.GetField("tunnel") == None
and feature.GetField("bridge") == "viaduct"):
feature.SetField("layer", 11)
elif (feature.GetField(field) == "subway"
and feature.GetField("tunnel") == None
and feature.GetField("bridge") == None):
feature.SetField("layer", 12)
elif (feature.GetField(field) == "tram"):
feature.SetField("layer", 4)
elif (feature.GetField(field) == "platform"):
feature.SetField("layer", 9)
else:
feature.SetField("layer", 99)
if (feature.GetField(field) == None):
layer.DeleteFeature(feature.GetFID())
continue
if (feature.GetField("layer") > 15):
layer.DeleteFeature(feature.GetFID())
continue
layer.SetFeature(feature)
### buffer widths
if (feature.GetField(field) == "rail"):
bfwidth = 6
elif (feature.GetField(field) == "abandoned"):
bfwidth = 2
elif (feature.GetField(field) == "disused"):
bfwidth = 2
elif (feature.GetField(field) == "tram"):
bfwidth = 3.5
elif (feature.GetField(field) == "light_rail"):
bfwidth = 3.5
elif (feature.GetField(field) == "subway"):
bfwidth = 5
elif (feature.GetField(field) == "narrow_gauge"):
bfwidth = 3.5
elif (feature.GetField(field) == "preserved"):
bfwidth = 3.5
elif (feature.GetField(field) == "platform"):
bfwidth = 2
elif (feature.GetField(field) == "construction"):
bfwidth = 8.5
elif (feature.GetField(field) == "miniature"):
bfwidth = 2
elif (feature.GetField(field) == "monorail"):
bfwidth = 3.5
elif (feature.GetField(field) == "funicular"):
bfwidth = 3.5
else:
bfwidth = 99999
continue
if (feature.GetField(field) == None):
layer.DeleteFeature(feature.GetFID())
if (bfwidth > 100):
layer.DeleteFeature(feature.GetFID())
feature.SetField("bwidth", bfwidth)
layer.SetFeature(feature)
# This creates a buffer feature
featureGeom = feature.GetGeometryRef()
bufferGeom = featureGeom.Buffer(bfwidth)
outFeature = ogr.Feature(bufferedFeaturedfn)
outFeature.SetGeometry(bufferGeom)
for i in range(0, bufferedFeaturedfn.GetFieldCount()):
outFeature.SetField(
bufferedFeaturedfn.GetFieldDefn(i).GetNameRef(),
feature.GetField(i))
bufferedLayer.CreateFeature(outFeature)
outFeature = None
dataSource.Destroy()
dataSource = None
bufferedFile.Destroy()
bufferedFile = None
def reproject_coordinate_system(original_layer_name, layer_name, in_shp_layer,
layer_path):
def get_geometry_type(geometry_name):
switcher = {
"POINT": ogr.wkbPoint,
"MULTIPOINT": ogr.wkbMultiPoint,
"LINESTRING": ogr.wkbLineString,
"MULTILINESTRING": ogr.wkbMultiLineString,
"POLYGON": ogr.wkbPolygon,
"MULTIPOLYGON": ogr.wkbMultiPolygon
}
return switcher.get(geometry_name)
shp_driver = ogr.GetDriverByName('ESRI Shapefile')
# input SpatialReference
input_srs = in_shp_layer.GetSpatialRef()
# output SpatialReference
output_srs = osr.SpatialReference()
output_srs.ImportFromEPSG(4326)
# create the CoordinateTransformation
coord_trans = osr.CoordinateTransformation(input_srs, output_srs)
# create the output layer
output_shp_file = '{}/{}_reproj.shp'.format(layer_path, layer_name)
# check if output file exists if yes delete it
if os.path.exists(output_shp_file):
shp_driver.DeleteDataSource(output_shp_file)
# create a new Shapefile object
output_shp_dataset = shp_driver.CreateDataSource(output_shp_file)
# create a new layer in output Shapefile and define its geometry type
feature = in_shp_layer.GetNextFeature()
geometry = feature.GetGeometryRef()
geometry_type = get_geometry_type(geometry.GetGeometryName())
output_shp_layer = output_shp_dataset.CreateLayer(
'{}_4326'.format(layer_name), output_srs, geometry_type)
in_shp_layer.ResetReading()
# add fields to the new output Shapefile
# get list of attribute fields
# create new fields for output
in_layer_def = in_shp_layer.GetLayerDefn()
for i in range(0, in_layer_def.GetFieldCount()):
field_def = in_layer_def.GetFieldDefn(i)
output_shp_layer.CreateField(field_def)
# get the output layer's feature definition
output_layer_def = output_shp_layer.GetLayerDefn()
# loop through the input features
in_feature = in_shp_layer.GetNextFeature()
while in_feature:
# get the input geometry
geom = in_feature.GetGeometryRef()
# reproject the geometry
geom.Transform(coord_trans)
# create a new feature
output_feature = ogr.Feature(output_layer_def)
# set the geometry and attribute
output_feature.SetGeometry(geom)
for i in range(0, output_layer_def.GetFieldCount()):
output_feature.SetField(
output_layer_def.GetFieldDefn(i).GetNameRef(),
in_feature.GetField(i))
# add the feature to the shapefile
output_shp_layer.CreateFeature(output_feature)
# destroy the features and get the next input feature
output_feature.Destroy()
in_feature.Destroy()
in_feature = in_shp_layer.GetNextFeature()
# close the shapefiles
output_shp_dataset.Destroy()
spatialRef = osr.SpatialReference()
spatialRef.ImportFromEPSG(4326)
spatialRef.MorphToESRI()
prj_file = open('{}/{}_reproj.prj'.format(layer_path, layer_name), 'w')
prj_file.write(spatialRef.ExportToWkt())
prj_file.close()
for file_name in os.listdir(layer_path):
if os.path.splitext(file_name)[0] == original_layer_name:
os.remove(os.path.join(layer_path, file_name))
for file_name in os.listdir(layer_path):
if os.path.splitext(file_name)[0] == '{}_reproj'.format(layer_name):
extension = os.path.splitext(file_name)[1][1:].strip().lower()
os.rename(
os.path.join(layer_path, file_name),
os.path.join(layer_path,
'{}.{}'.format(original_layer_name, extension)))
return '{0}:{1}'.format(output_srs.GetAuthorityName(None),
output_srs.GetAuthorityCode(None))
def polygonize():
global currentchunk
global totalsubsets
global base_name
currentchunk = 0
totalsubsets = 0
outputgdal = dir_base_name + "-gdal-tmp.tif"
# QGIS POLYGONIZE
print ""
print "Polygonizing (coarse):"
print "----------------------"
shapefile = dir_base_name + '.shp'
if (not os.path.isfile(shapefile)):
command = 'gdal_polygonize.py ' + outputgdal + ' -f "ESRI Shapefile" ' + shapefile + ' ' + base_name
logging.debug(command)
# print command
os.system(command)
# Split resulting megapolygon file into smaller chunks
# most code from: http://cosmicproject.org/OGR/cris_example_write.html
print ""
print "Splitting megapolygon file into chunks"
print "--------------------------------------"
#####
# 2 get the shapefile driver
driver = ogr.GetDriverByName('ESRI Shapefile')
# 3 open the input data source and get the layer
inDS = driver.Open(shapefile, 0) #shows cover at given points
if inDS is None:
print 'Could not open shapefile'
sys.exit(1)
inLayer = inDS.GetLayer()
# 5 get the FieldDefn's for the id and cover fields in the input shapefile
feature = inLayer.GetFeature(0)
idFieldDefn = feature.GetFieldDefnRef('DN')
# 7 loop through the input features
inFeature = inLayer.GetNextFeature()
while inFeature:
if currentchunk == 0 or currentchunk >= chunksize:
currentchunk = 0
totalsubsets = totalsubsets + 1
# this is a new temp file
# 4 create a new data source and layer
fn = dir_base_name + '-tmp-' + str(totalsubsets) + '.shp'
if os.path.exists(fn): driver.DeleteDataSource(fn)
outDS = driver.CreateDataSource(fn)
if outDS is None:
print 'Could not create temp shapefile'
sys.exit(1)
outLayer = outDS.CreateLayer(base_name, geom_type=ogr.wkbPolygon)
#create new field in the output shapefile
outLayer.CreateField(idFieldDefn)
# 6 get the FeatureDefn for the output layer
featureDefn = outLayer.GetLayerDefn()
# create a new feature
outFeature = ogr.Feature(
featureDefn) #using featureDefn created in step 6
# set the geometry
geom = inFeature.GetGeometryRef()
outFeature.SetGeometry(geom) #move it to the new feature
# set the attributes
DN = inFeature.GetField('DN')
outFeature.SetField('DN', DN) #move it to the new feature
# add the feature to the output layer
outLayer.CreateFeature(outFeature)
# destroy the output feature
outFeature.Destroy()
# destroy the input feature and get a new one
inFeature.Destroy()
inFeature = inLayer.GetNextFeature()
currentchunk = currentchunk + 1
# close the data sources
inDS.Destroy()
outDS.Destroy() #flush out the last changes here
print ""
print "Produced " + str(totalsubsets) + " temporary shapefiles"
print ""
def consolidate(inputfile):
# Now combine all subsets into a macroset
# 4 create a new data source and layer
fn = dir_base_name + '-traced.shp'
# 2 get the shapefile driver
driver = ogr.GetDriverByName('ESRI Shapefile')
# 3 open the input data source and get the layer
shapefile = dir_base_name + '.shp'
inDS = driver.Open(shapefile, 0) #shows cover at given points
if inDS is None:
print 'Could not open shapefile'
sys.exit(1)
inLayer = inDS.GetLayer()
# 5 get the FieldDefn's for the id and cover fields in the input shapefile
feature = inLayer.GetFeature(0)
idFieldDefn = feature.GetFieldDefnRef('DN')
if os.path.exists(fn): driver.DeleteDataSource(fn)
outDS = driver.CreateDataSource(fn)
if outDS is None:
print 'Could not create final shapefile'
sys.exit(1)
outLayer = outDS.CreateLayer(base_name, geom_type=ogr.wkbPolygon)
#create new field in the output shapefile
outLayer.CreateField(idFieldDefn)
# 6 get the FeatureDefn for the output layer
featureDefn = outLayer.GetLayerDefn()
# new field definitions for this shapefile
# color definition
colorDefn = ogr.FieldDefn("Color", ogr.OFTInteger)
colorDefn.SetWidth(2)
colorDefn.SetPrecision(0)
outLayer.CreateField(colorDefn)
# dot count definition
dotCountDefn = ogr.FieldDefn("DotCount", ogr.OFTInteger)
dotCountDefn.SetWidth(2)
dotCountDefn.SetPrecision(0)
outLayer.CreateField(dotCountDefn)
# dot type definition
dotTypeDefn = ogr.FieldDefn("DotType", ogr.OFTInteger)
dotTypeDefn.SetWidth(1)
dotTypeDefn.SetPrecision(0)
outLayer.CreateField(dotTypeDefn)
# cross count definition
crossCountDefn = ogr.FieldDefn("CrossCount", ogr.OFTInteger)
crossCountDefn.SetWidth(2)
crossCountDefn.SetPrecision(0)
outLayer.CreateField(crossCountDefn)
# cross data definition
crossDataDefn = ogr.FieldDefn("CrossData", ogr.OFTString)
crossDataDefn.SetWidth(255)
outLayer.CreateField(crossDataDefn)
polygonfiles = []
for files in os.listdir(path):
if files.endswith(".shp") and files.find('-polygon') != -1:
polygonfile = path + "/" + files
# apply a projection so gdalwarp doesnt complain
polygonfilename = files[:files.find(".shp")]
os.system("cp " + dir_base_name + ".prj " + path + "/" +
polygonfilename + ".prj")
extractedfile = path + "/" + polygonfilename + "-extracted.tif"
# extract bitmap from original
command = "gdalwarp -q -t_srs EPSG:3785 -cutline " + polygonfile + " -crop_to_cutline -of GTiff " + inputfile + " " + extractedfile
logging.debug(command)
# print command
os.system(command)
# calculate color
# shrink to 1x1 and find value
# logging.debug( string.join(["convert", "-quiet", os.path.abspath(extractedfile), "-resize", "1x1","txt:-"]) )
# pixelvalue = subprocess.Popen(["convert", "-quiet", os.path.abspath(extractedfile), "-resize", "1x1","txt:-"], stdout=subprocess.PIPE).communicate()[0]
# pattern = re.compile(r"0,0: \(([\s0-9]*),([\s0-9]*),([\s0-9]*).*")
# values = pattern.findall(pixelvalue)
values = average_color(os.path.abspath(extractedfile))
if len(values) > 0:
red = int(values[0])
green = int(values[1])
blue = int(values[2])
nearest = 100000
nearestcolor = []
nearestcolorindex = -1
for i, color in enumerate(basecolors):
dred = (color[0] - red) * (color[0] - red)
dgreen = (color[1] - green) * (color[1] - green)
dblue = (color[2] - blue) * (color[2] - blue)
dist = dred + dgreen + dblue
if dist < nearest:
nearest = dist
nearestcolor = color
nearestcolorindex = i
# only add if NOT paper
if nearestcolor != basecolors[0]:
# check for dots
circle_data = cv_feature_detect(extractedfile)
# add to array
polygonfiles.append(
[polygonfile, nearestcolorindex, circle_data])
else:
logging.debug("Ignored (paper color): " + polygonfilename +
"\n")
else:
logging.debug("Ignored (regex match error): " +
polygonfilename + "\n")
for files in polygonfiles:
# 3 open the input data source and get the layer
tempfile = files[
0] #dir_base_name + '-tmp-' + str(currentsubset) + '-traced.shp'
inDS = driver.Open(tempfile, 0) #shows cover at given points
if inDS is None:
print 'Could not open temporary shapefile'
break
inLayer = inDS.GetLayer()
# 7 loop through the input features
inFeature = inLayer.GetNextFeature()
while inFeature:
# create a new feature
outFeature = ogr.Feature(
featureDefn) #using featureDefn created in step 6
# set the geometry
geom = inFeature.GetGeometryRef()
outFeature.SetGeometry(geom) #move it to the new feature
DN = inFeature.GetField('DN')
outFeature.SetField('DN', DN) #move it to the new feature
outFeature.SetField('Color', int(files[1]))
outFeature.SetField('DotCount', int(files[2]["count"]))
outFeature.SetField('DotType', int(files[2]["is_outline"]))
outFeature.SetField('CrossCount', int(files[2]["cross_count"]))
outFeature.SetField('CrossData', str(files[2]["cross_data"]))
# outFeature.SetField('circle_count', files[2]["circle_count"])
# outFeature.SetField('circle_type', files[2]["is_outline"])
# add the feature to the output layer
outLayer.CreateFeature(outFeature)
# destroy the output feature
outFeature.Destroy()
# destroy the input feature and get a new one
inFeature.Destroy()
inFeature = inLayer.GetNextFeature()
# close the data sources
inDS.Destroy()
outDS.Destroy() #flush out the last changes here
print ""
print "Applying projection file to result..."
print "-------------------------------------"
os.system("cp " + dir_base_name + ".prj " + dir_base_name + "-traced.prj")
def main(argv):
farmname = argv[1]
farm = "../originalData/Farm/" + farmname + "/" + farmname + ".json"
output = "../Farm/" + farmname + "/"
if not os.path.exists(farm):
print("Wrong address of FARM JSON")
else:
with open(farm) as json_file:
locationX = []
locationY = []
FieldTable = {}
if (os.path.exists(output + "FieldTable.json")):
with open(output + "FieldTable.json", "r") as FieldTableJson:
FieldTable = json.load(FieldTableJson)
FieldTableJson.close()
else:
with open(output + "FieldTable.json", "w") as FieldTableJson:
json.dump(FieldTable, FieldTableJson, indent=4)
FieldTableJson.close()
FieldTable["Field"] = {}
FieldTable["FieldID"] = {}
FieldTable["bboxs"] = {}
outDriver = ogr.GetDriverByName('GeoJSON')
data = json.load(json_file)
PerfectField = data["PerfectField"]
Field_properties = PerfectField["properties"]
Farm_name = Field_properties["name"]
for p in data['features']:
fieldID = p['id']
fieldRealID = p["properties"]["Field_id"]
fieldRealName = p["properties"]["FieldName"]
FieldTable["Field"][fieldID] = fieldRealName
FieldTable["FieldID"][fieldID] = fieldRealID
FieldTable["bboxs"][fieldID] = []
print('ID: ' + str(p['id']))
coordinates = p["geometry"]["coordinates"]
Field_name = "Field" + str(fieldID)
Coordinates = []
Coordinates.append([])
fieldLocationX = []
fieldLocationY = []
for coordinate in coordinates[0]:
locationX.append(coordinate[0])
locationY.append(coordinate[1])
Coordinates[0].append([coordinate[0], coordinate[1]])
# swapedCoordinates[0].append(CRS_4326To27700([coordinate[1], coordinate[0]]))
fieldLocationX.append(coordinate[0])
fieldLocationY.append(coordinate[1])
FieldTable["bboxs"][fieldID] = [
min(fieldLocationX),
min(fieldLocationY),
max(fieldLocationX),
max(fieldLocationY)
]
FieldJSON = createJSON(Field_name, 4326, Farm_name,
Coordinates)
outputFieldPath = output + "Field" + str(fieldID)
fielname = "Field" + str(fieldID)
if (not os.path.exists(outputFieldPath)):
os.mkdir(outputFieldPath)
if (not os.path.exists(os.path.join(outputFieldPath, "shp"))):
os.mkdir(os.path.join(outputFieldPath, "shp"))
filePath = outputFieldPath + "/shp" + "/" + Field_name + ".json"
if (not os.path.exists(filePath)):
with open(filePath, 'w') as outfile:
json.dump(FieldJSON, outfile)
print()
if (not os.path.exists(filePath[:-4] + "shp")):
print(filePath[:-4] + "shp")
command = "ogr2ogr -f \"ESRI Shapefile\" -s_srs EPSG:4326 -t_srs EPSG:27700 " + filePath[:
-4] + "shp " + filePath[:
-4] + "json"
print(command)
subprocess.call(command, shell=True)
outputJSONPath = None
FieldJSON = None
Coordinates = None
with open(output + "FieldTable.json", "w") as FieldTableJson:
FieldTable["bbox"] = [
min(locationX),
min(locationY),
max(locationX),
max(locationY)
]
json.dump(FieldTable, FieldTableJson, indent=4)
FieldTableJson.close()
print(CRS_4326To27700([min(locationY), min(locationX)]))
print(CRS_4326To27700([max(locationY), max(locationX)]))
json_file.close()
gt = ras.GetGeoTransform()
pr = ras.GetProjection()
sr_ras = SpatialReferenceFromRaster(ras)
shp = ogr.Open(shp_path)
lyr = shp.GetLayer()
sr_lyr = lyr.GetSpatialRef()
# input data come in different projections.
# Therefore, transformations in both ways are defined
coord_trans = osr.CoordinateTransformation(
sr_ras, sr_lyr) # for the filter process
coord_trans_out = osr.CoordinateTransformation(sr_lyr,
sr_ras) # for the output
drv_mem = ogr.GetDriverByName('Memory')
mem_ds = drv_mem.CreateDataSource("")
repr_lyr = mem_ds.CreateLayer('', sr_ras, ogr.wkbPolygon)
repr_lyr.CreateFields(lyr.schema)
out_feat = ogr.Feature(lyr.GetLayerDefn())
for feat in lyr:
geom = feat.geometry().Clone()
geom.TransformTo(sr_ras)
out_feat.SetGeometry(geom)
for i in range(feat.GetFieldCount()):
out_feat.SetField(i, feat.GetField(i))
repr_lyr.CreateFeature(out_feat)
lyr.ResetReading
out_feat = None
repr_lyr_cs = repr_lyr.GetSpatialRef()
def statisticsVectorRaster(image_input,
vector_input,
vector_output,
band_number,
enable_stats_all_count,
enable_stats_columns_str,
enable_stats_columns_real,
col_to_delete_list,
col_to_add_list,
class_label_dico,
path_time_log,
clean_small_polygons=False,
format_vector='ESRI Shapefile',
save_results_intermediate=False,
overwrite=True):
# INITIALISATION
if debug >= 3:
print(cyan + "statisticsVectorRaster() : " + endC + "image_input : " +
str(image_input) + endC)
print(cyan + "statisticsVectorRaster() : " + endC + "vector_input : " +
str(vector_input) + endC)
print(cyan + "statisticsVectorRaster() : " + endC +
"vector_output : " + str(vector_output) + endC)
print(cyan + "statisticsVectorRaster() : " + endC + "band_number : " +
str(band_number) + endC)
print(cyan + "statisticsVectorRaster() : " + endC +
"enable_stats_all_count : " + str(enable_stats_all_count) + endC)
print(cyan + "statisticsVectorRaster() : " + endC +
"enable_stats_columns_str : " + str(enable_stats_columns_str) +
endC)
print(cyan + "statisticsVectorRaster() : " + endC +
"enable_stats_columns_real : " + str(enable_stats_columns_real) +
endC)
print(cyan + "statisticsVectorRaster() : " + endC +
"col_to_delete_list : " + str(col_to_delete_list) + endC)
print(cyan + "statisticsVectorRaster() : " + endC +
"col_to_add_list : " + str(col_to_add_list) + endC)
print(cyan + "statisticsVectorRaster() : " + endC +
"class_label_dico : " + str(class_label_dico) + endC)
print(cyan + "statisticsVectorRaster() : " + endC +
"clean_small_polygons : " + str(clean_small_polygons) + endC)
print(cyan + "statisticsVectorRaster() : " + endC +
"path_time_log : " + str(path_time_log) + endC)
print(cyan + "statisticsVectorRaster() : " + endC +
"format_vector : " + str(format_vector) + endC)
print(cyan + "statisticsVectorRaster() : " + endC +
"save_results_intermediate : " + str(save_results_intermediate) +
endC)
print(cyan + "statisticsVectorRaster() : " + endC + "overwrite : " +
str(overwrite) + endC)
# Constantes
PREFIX_AREA_COLUMN = "S_"
# Mise à jour du Log
starting_event = "statisticsVectorRaster() : Compute statistic crossing starting : "
timeLine(path_time_log, starting_event)
# creation du fichier vecteur de sortie
if vector_output == "":
vector_output = vector_input # Précisé uniquement pour l'affichage
else:
# Copy vector_output
copyVectorFile(vector_input, vector_output, format_vector)
# Vérifications
image_xmin, image_xmax, image_ymin, image_ymax = getEmpriseImage(
image_input)
vector_xmin, vector_xmax, vector_ymin, vector_ymax = getEmpriseFile(
vector_output, format_vector)
extension_vector = os.path.splitext(vector_output)[1]
if round(vector_xmin, 4) < round(image_xmin, 4) or round(
vector_xmax, 4) > round(image_xmax, 4) or round(
vector_ymin, 4) < round(image_ymin, 4) or round(
vector_ymax, 4) > round(image_ymax, 4):
print(cyan + "statisticsVectorRaster() : " + bold + red +
"image_xmin, image_xmax, image_ymin, image_ymax" + endC,
image_xmin,
image_xmax,
image_ymin,
image_ymax,
file=sys.stderr)
print(cyan + "statisticsVectorRaster() : " + bold + red +
"vector_xmin, vector_xmax, vector_ymin, vector_ymax" + endC,
vector_xmin,
vector_xmax,
vector_ymin,
vector_ymax,
file=sys.stderr)
raise NameError(
cyan + "statisticsVectorRaster() : " + bold + red +
"The extend of the vector file (%s) is greater than the image file (%s)"
% (vector_output, image_input) + endC)
pixel_size = getPixelSizeImage(image_input)
# Suppression des très petits polygones qui introduisent des valeurs NaN
if clean_small_polygons:
min_size_area = pixel_size * 2
vector_temp = os.path.splitext(
vector_output)[0] + "_temp" + extension_vector
cleanMiniAreaPolygons(vector_output, vector_temp, min_size_area, '',
format_vector)
removeVectorFile(vector_output, format_vector)
renameVectorFile(vector_temp, vector_output)
# Récuperation du driver pour le format shape
driver = ogr.GetDriverByName(format_vector)
# Ouverture du fichier shape en lecture-écriture
data_source = driver.Open(vector_output,
1) # 0 means read-only - 1 means writeable.
if data_source is None:
print(cyan + "statisticsVectorRaster() : " + bold + red +
"Impossible d'ouvrir le fichier shape : " + vector_output + endC,
file=sys.stderr)
sys.exit(1) # exit with an error code
# Récupération du vecteur
layer = data_source.GetLayer(
0) # Recuperation de la couche (une couche contient les polygones)
layer_definition = layer.GetLayerDefn(
) # GetLayerDefn => returns the field names of the user defined (created) fields
# ETAPE 1/4 : CREATION AUTOMATIQUE DU DICO DE VALEUR SI IL N'EXISTE PAS
if enable_stats_all_count and class_label_dico == {}:
image_values_list = identifyPixelValues(image_input)
# Pour toutes les valeurs
for id_value in image_values_list:
class_label_dico[id_value] = str(id_value)
# Suppression de la valeur no date à 0
if 0 in class_label_dico:
del class_label_dico[0]
if debug >= 2:
print(class_label_dico)
# ETAPE 2/4 : CREATION DES COLONNES DANS LE FICHIER SHAPE
if debug >= 2:
print(
cyan + "statisticsVectorRaster() : " + bold + green +
"ETAPE 1/3 : DEBUT DE LA CREATION DES COLONNES DANS LE FICHIER VECTEUR %s"
% (vector_output) + endC)
# En entrée :
# col_to_add_list = [UniqueID, majority/DateMaj/SrcMaj, minority, min, max, mean, median, sum, std, unique, range, all, count, all_S, count_S] - all traduisant le class_label_dico en autant de colonnes
# Sous_listes de col_to_add_list à identifier pour des facilités de manipulations ultérieures:
# col_to_add_inter01_list = [majority/DateMaj/SrcMaj, minority, min, max, mean, median, sum, std, unique, range]
# col_to_add_inter02_list = [majority, minority, min, max, mean, median, sum, std, unique, range, all, count, all_S, count_S]
# Construction des listes intermédiaires
col_to_add_inter01_list = []
# Valeurs à injecter dans des colonnes - Format String
if enable_stats_columns_str:
stats_columns_str_list = ['majority', 'minority']
for e in stats_columns_str_list:
col_to_add_list.append(e)
# Valeurs à injecter dans des colonnes - Format Nbr
if enable_stats_columns_real:
stats_columns_real_list = [
'min', 'max', 'mean', 'median', 'sum', 'std', 'unique', 'range'
]
for e in stats_columns_real_list:
col_to_add_list.append(e)
# Valeurs à injecter dans des colonnes - Format Nbr
if enable_stats_all_count:
stats_all_count_list = ['all', 'count']
for e in stats_all_count_list:
col_to_add_list.append(e)
# Valeurs à injecter dans des colonnes - si class_label_dico est non vide
if class_label_dico != {}:
stats_all_count_list = ['all', 'count']
for e in stats_all_count_list:
if not e in col_to_add_list:
col_to_add_list.append(e)
# Ajout colonne par colonne
if "majority" in col_to_add_list:
col_to_add_inter01_list.append("majority")
if "DateMaj" in col_to_add_list:
col_to_add_inter01_list.append("DateMaj")
if "SrcMaj" in col_to_add_list:
col_to_add_inter01_list.append("SrcMaj")
if "minority" in col_to_add_list:
col_to_add_inter01_list.append("minority")
if "min" in col_to_add_list:
col_to_add_inter01_list.append("min")
if "max" in col_to_add_list:
col_to_add_inter01_list.append("max")
if "mean" in col_to_add_list:
col_to_add_inter01_list.append("mean")
if "median" in col_to_add_list:
col_to_add_inter01_list.append("median")
if "sum" in col_to_add_list:
col_to_add_inter01_list.append("sum")
if "std" in col_to_add_list:
col_to_add_inter01_list.append("std")
if "unique" in col_to_add_list:
col_to_add_inter01_list.append("unique")
if "range" in col_to_add_list:
col_to_add_inter01_list.append("range")
# Copy de col_to_add_inter01_list dans col_to_add_inter02_list
col_to_add_inter02_list = list(col_to_add_inter01_list)
if "all" in col_to_add_list:
col_to_add_inter02_list.append("all")
if "count" in col_to_add_list:
col_to_add_inter02_list.append("count")
if "all_S" in col_to_add_list:
col_to_add_inter02_list.append("all_S")
if "count_S" in col_to_add_list:
col_to_add_inter02_list.append("count_S")
if "DateMaj" in col_to_add_inter02_list:
col_to_add_inter02_list.remove("DateMaj")
col_to_add_inter02_list.insert(0, "majority")
if "SrcMaj" in col_to_add_inter02_list:
col_to_add_inter02_list.remove("SrcMaj")
col_to_add_inter02_list.insert(0, "majority")
# Valeurs à injecter dans des colonnes - Format Nbr
if enable_stats_all_count:
stats_all_count_list = ['all_S', 'count_S']
for e in stats_all_count_list:
col_to_add_list.append(e)
# Creation de la colonne de l'identifiant unique
if ("UniqueID" in col_to_add_list) or ("uniqueID" in col_to_add_list) or (
"ID" in col_to_add_list):
field_defn = ogr.FieldDefn(
"ID", ogr.OFTInteger
) # Création du nom du champ dans l'objet stat_classif_field_defn
layer.CreateField(field_defn)
if debug >= 3:
print(cyan + "statisticsVectorRaster() : " + endC +
"Creation de la colonne : ID")
# Creation des colonnes de col_to_add_inter01_list ([majority/DateMaj/SrcMaj, minority, min, max, mean, median, sum, std, unique, range])
for col in col_to_add_list:
if layer_definition.GetFieldIndex(
col
) == -1: # Vérification de l'existence de la colonne col (retour = -1 : elle n'existe pas)
if col == 'majority' or col == 'DateMaj' or col == 'SrcMaj' or col == 'minority': # Identification de toutes les colonnes remplies en string
stat_classif_field_defn = ogr.FieldDefn(
col, ogr.OFTString
) # Création du champ (string) dans l'objet stat_classif_field_defn
layer.CreateField(stat_classif_field_defn)
elif col == 'mean' or col == 'median' or col == 'sum' or col == 'std' or col == 'unique' or col == 'range' or col == 'max' or col == 'min':
stat_classif_field_defn = ogr.FieldDefn(
col, ogr.OFTReal
) # Création du champ (real) dans l'objet stat_classif_field_defn
# Définition de la largeur du champ
stat_classif_field_defn.SetWidth(20)
# Définition de la précision du champ valeur flottante
stat_classif_field_defn.SetPrecision(2)
layer.CreateField(stat_classif_field_defn)
if debug >= 3:
print(cyan + "statisticsVectorRaster() : " + endC +
"Creation de la colonne : " + str(col))
# Creation des colonnes reliées au dictionnaire
if ('all' in col_to_add_list) or ('count' in col_to_add_list) or (
'all_S' in col_to_add_list) or ('count_S' in col_to_add_list):
for col in class_label_dico:
# Gestion du nom de la colonne correspondant à la classe
name_col = class_label_dico[col]
if len(name_col) > 10:
name_col = name_col[:10]
print(
cyan + "statisticsVectorRaster() : " + bold + yellow +
"Nom de la colonne trop long. Il sera tronque a 10 caracteres en cas d'utilisation: "
+ endC + name_col)
# Gestion du nom de la colonne correspondant à la surface de la classe
name_col_area = PREFIX_AREA_COLUMN + name_col
if len(name_col_area) > 10:
name_col_area = name_col_area[:10]
if debug >= 3:
print(
cyan + "statisticsVectorRaster() : " + bold + yellow +
"Nom de la colonne trop long. Il sera tronque a 10 caracteres en cas d'utilisation: "
+ endC + name_col_area)
# Ajout des colonnes de % de répartition des éléments du raster
if ('all' in col_to_add_list) or ('count' in col_to_add_list):
if layer_definition.GetFieldIndex(
name_col
) == -1: # Vérification de l'existence de la colonne name_col (retour = -1 : elle n'existe pas)
stat_classif_field_defn = ogr.FieldDefn(
name_col, ogr.OFTReal
) # Création du champ (real) dans l'objet stat_classif_field_defn
# Définition de la largeur du champ
stat_classif_field_defn.SetWidth(20)
# Définition de la précision du champ valeur flottante
stat_classif_field_defn.SetPrecision(2)
if debug >= 3:
print(cyan + "statisticsVectorRaster() : " + endC +
"Creation de la colonne : " + str(name_col))
layer.CreateField(
stat_classif_field_defn) # Ajout du champ
# Ajout des colonnes de surface des éléments du raster
if ('all_S' in col_to_add_list) or ('count_S' in col_to_add_list):
if layer_definition.GetFieldIndex(
name_col_area
) == -1: # Vérification de l'existence de la colonne name_col_area (retour = -1 : elle n'existe pas)
stat_classif_field_defn = ogr.FieldDefn(
name_col_area, ogr.OFTReal
) # Création du nom du champ dans l'objet stat_classif_field_defn
# Définition de la largeur du champ
stat_classif_field_defn.SetWidth(20)
# Définition de la précision du champ valeur flottante
stat_classif_field_defn.SetPrecision(2)
if debug >= 3:
print(cyan + "statisticsVectorRaster() : " + endC +
"Creation de la colonne : " + str(name_col_area))
layer.CreateField(
stat_classif_field_defn) # Ajout du champ
if debug >= 2:
print(
cyan + "statisticsVectorRaster() : " + bold + green +
"ETAPE 1/3 : FIN DE LA CREATION DES COLONNES DANS LE FICHIER VECTEUR %s"
% (vector_output) + endC)
# ETAPE 3/4 : REMPLISSAGE DES COLONNES DU VECTEUR
if debug >= 2:
print(cyan + "statisticsVectorRaster() : " + bold + green +
"ETAPE 2/3 : DEBUT DU REMPLISSAGE DES COLONNES DU VECTEUR " +
endC)
# Calcul des statistiques col_to_add_inter02_list = [majority, minority, min, max, mean, median, sum, std, unique, range, all, count, all_S, count_S] de croisement images_raster / vecteur
# Utilisation de la librairie rasterstat
if debug >= 3:
print(cyan + "statisticsVectorRaster() : " + bold + green +
"Calcul des statistiques " + endC +
"Stats : %s - Vecteur : %s - Raster : %s" %
(col_to_add_inter02_list, vector_output, image_input) + endC)
stats_info_list = raster_stats(vector_output,
image_input,
band_num=band_number,
stats=col_to_add_inter02_list)
# Decompte du nombre de polygones
num_features = layer.GetFeatureCount()
if debug >= 3:
print(cyan + "statisticsVectorRaster() : " + bold + green +
"Remplissage des colonnes polygone par polygone " + endC)
if debug >= 3:
print(cyan + "statisticsVectorRaster() : " + endC +
"Nombre total de polygones : " + str(num_features))
polygone_count = 0
for polygone_stats in stats_info_list: # Pour chaque polygone représenté dans stats_info_list - et il y a autant de polygone que dans le fichier vecteur
# Extraction de feature
feature = layer.GetFeature(polygone_stats['__fid__'])
polygone_count = polygone_count + 1
if debug >= 3 and polygone_count % 10000 == 0:
print(cyan + "statisticsVectorRaster() : " + endC +
"Avancement : %s polygones traites sur %s" %
(polygone_count, num_features))
if debug >= 5:
print(
cyan + "statisticsVectorRaster() : " + endC +
"Traitement du polygone : ",
stats_info_list.index(polygone_stats) + 1)
# Remplissage de l'identifiant unique
if ("UniqueID" in col_to_add_list) or (
"uniqueID" in col_to_add_list) or ("ID" in col_to_add_list):
feature.SetField('ID', int(stats_info_list.index(polygone_stats)))
# Initialisation à 0 des colonnes contenant le % de répartition de la classe - Verifier ce qu'il se passe si le nom dépasse 10 caracteres
if ('all' in col_to_add_list) or ('count' in col_to_add_list):
for element in class_label_dico:
name_col = class_label_dico[element]
if len(name_col) > 10:
name_col = name_col[:10]
feature.SetField(name_col, 0)
# Initialisation à 0 des colonnes contenant la surface correspondant à la classe - Verifier ce qu'il se passe si le nom dépasse 10 caracteres
if ('all_S' in col_to_add_list) or ('count_S' in col_to_add_list):
for element in class_label_dico:
name_col = class_label_dico[element]
name_col_area = PREFIX_AREA_COLUMN + name_col
if len(name_col_area) > 10:
name_col_area = name_col_area[:10]
feature.SetField(name_col_area, 0)
# Remplissage des colonnes contenant le % de répartition et la surface des classes
if ('all' in col_to_add_list) or ('count' in col_to_add_list) or (
'all_S' in col_to_add_list) or ('count_S' in col_to_add_list):
# 'all' est une liste des couples : (Valeur_du_pixel_sur_le_raster, Nbr_pixel_ayant_cette_valeur) pour le polygone observe.
# Ex : [(0,183),(803,45),(801,4)] : dans le polygone, il y a 183 pixels de valeur 0, 45 pixels de valeur 803 et 4 pixels de valeur 801
majority_all = polygone_stats['all']
# Deux valeurs de pixel peuvent faire référence à une même colonne. Par exemple : les pixels à 201, 202, 203 peuvent correspondre à la BD Topo
# Regroupement des éléments de majority_all allant dans la même colonne au regard de class_label_dico
count_for_idx_couple = 0 # Comptage du nombre de modifications (suppression de couple) de majority_all pour adapter la valeur de l'index lors de son parcours
for idx_couple in range(
1, len(majority_all)
): # Inutile d'appliquer le traitement au premier élément (idx_couple == 0)
idx_couple = idx_couple - count_for_idx_couple # Prise en compte dans le parcours de majority_all des couples supprimés
couple = majority_all[idx_couple] # Ex : couple = (803,45)
if (couple is None) or (
couple == ""
): # en cas de bug de rasterstats (erreur geometrique du polygone par exemple)
if debug >= 3:
print(
cyan + "statisticsVectorRaster() : " + bold + red +
"Probleme detecte dans la gestion du polygone %s" %
(polygone_count) + endC,
file=sys.stderr)
pass
else:
for idx_verif in range(idx_couple):
# Vérification au regard des éléments présents en amont dans majority_all
# Cas où le nom correspondant au label a déjà été rencontré dans majority_all
# Vérification que les pixels de l'image sont réferncés dans le dico
if couple[0] in class_label_dico:
if class_label_dico[couple[0]] == class_label_dico[
majority_all[idx_verif][0]]:
majority_all[idx_verif] = (
majority_all[idx_verif][0],
majority_all[idx_verif][1] + couple[1]
) # Ajout du nombre de pixels correspondant dans le couple précédent
majority_all.remove(
couple
) # Supression du couple présentant le "doublon"
count_for_idx_couple = count_for_idx_couple + 1 # Mise à jour du décompte de modifications
break
else:
raise NameError(
cyan + "statisticsVectorRaster() : " + bold +
red +
"The image file (%s) contain pixel value '%d' not identified into class_label_dico"
% (image_input, couple[0]) + endC)
# Intégration des valeurs de majority all dans les colonnes
for couple_value_count in majority_all: # Parcours de majority_all. Ex : couple_value_count = (803,45)
if (couple_value_count is None) or (
couple_value_count == ""
): # en cas de bug de rasterstats (erreur geometrique du polygone par exemple)
if debug >= 3:
print(
cyan + "statisticsVectorRaster() : " + bold + red +
"Probleme detecte dans la gestion du polygone %s" %
(polygone_count) + endC,
file=sys.stderr)
pass
else:
nb_pixel_total = polygone_stats[
'count'] # Nbr de pixels du polygone
pixel_value = couple_value_count[0] # Valeur du pixel
value_count = couple_value_count[
1] # Nbr de pixels ayant cette valeur
name_col = class_label_dico[
pixel_value] # Transformation de la valeur du pixel en "signification" au regard du dictionnaire. Ex : BD Topo ou 2011
name_col_area = PREFIX_AREA_COLUMN + name_col # Identification du nom de la colonne en surfaces
if len(name_col) > 10:
name_col = name_col[:10]
if len(name_col_area) > 10:
name_col_area = name_col_area[:10]
value_area = pixel_size * value_count # Calcul de la surface du polygone correspondant à la valeur du pixel
if nb_pixel_total != None and nb_pixel_total != 0:
percentage = (
float(value_count) / float(nb_pixel_total)
) * 100 # Conversion de la surface en pourcentages, arondi au pourcent
else:
if debug >= 3:
print(
cyan + "statisticsVectorRaster() : " + bold +
red +
"Probleme dans l'identification du nombre de pixels du polygone %s : le pourcentage de %s est mis à 0"
% (polygone_count, name_col) + endC,
file=sys.stderr)
percentage = 0.0
if ('all' in col_to_add_list) or ('count'
in col_to_add_list):
feature.SetField(
name_col, percentage
) # Injection du pourcentage dans la colonne correpondante
if ('all_S' in col_to_add_list) or ('count_S'
in col_to_add_list):
feature.SetField(
name_col_area, value_area
) # Injection de la surface dans la colonne correpondante
else:
pass
# Remplissage des colonnes statistiques demandées ( col_to_add_inter01_list = [majority/DateMaj/SrcMaj, minority, min, max, mean, median, sum, std, unique, range] )
for stats in col_to_add_inter01_list:
if stats == 'DateMaj' or stats == 'SrcMaj': # Cas particulier de 'DateMaj' et 'SrcMaj' : le nom de la colonne est DateMaj ou SrcMaj, mais la statistique utilisée est identifiée par majority
name_col = stats # Nom de la colonne. Ex : 'DateMaj'
value_statis = polygone_stats[
'majority'] # Valeur majoritaire. Ex : '203'
if value_statis == None:
value_statis_class = 'nan'
else:
value_statis_class = class_label_dico[
value_statis] # Transformation de la valeur au regard du dictionnaire. Ex : '2011'
feature.SetField(name_col,
value_statis_class) # Ajout dans la colonne
elif (stats is None) or (stats == "") or (
polygone_stats[stats] is
None) or (polygone_stats[stats]) == "" or (
polygone_stats[stats]) == 'nan':
# En cas de bug de rasterstats (erreur geometrique du polygone par exemple)
pass
else:
name_col = stats # Nom de la colonne. Ex : 'majority', 'max'
value_statis = polygone_stats[
stats] # Valeur à associer à la colonne, par exemple '2011'
if (
name_col == 'majority' or name_col == 'minority'
) and class_label_dico != []: # Cas où la colonne fait référence à une valeur du dictionnaire
value_statis_class = class_label_dico[value_statis]
else:
value_statis_class = value_statis
feature.SetField(name_col, value_statis_class)
layer.SetFeature(feature)
feature.Destroy()
if debug >= 2:
print(cyan + "statisticsVectorRaster() : " + bold + green +
"ETAPE 2/3 : FIN DU REMPLISSAGE DES COLONNES DU VECTEUR %s" %
(vector_output) + endC)
# ETAPE 4/4 : SUPRESSION DES COLONNES NON SOUHAITEES
if col_to_delete_list != []:
if debug >= 2:
print(cyan + "statisticsVectorRaster() : " + bold + green +
"ETAPE 3/3 : DEBUT DES SUPPRESSIONS DES COLONNES %s" %
(col_to_delete_list) + endC)
for col_to_delete in col_to_delete_list:
if layer_definition.GetFieldIndex(
col_to_delete
) != -1: # Vérification de l'existence de la colonne col (retour = -1 : elle n'existe pas)
layer.DeleteField(layer_definition.GetFieldIndex(
col_to_delete)) # Suppression de la colonne
if debug >= 3:
print(cyan + "statisticsVectorRaster() : " + endC +
"Suppression de %s" % (col_to_delete) + endC)
if debug >= 2:
print(cyan + "statisticsVectorRaster() : " + bold + green +
"ETAPE 3/3 : FIN DE LA SUPPRESSION DES COLONNES" + endC)
else:
print(cyan + "statisticsVectorRaster() : " + bold + yellow +
"ETAPE 3/3 : AUCUNE SUPPRESSION DE COLONNE DEMANDEE" + endC)
# Fermeture du fichier shape
layer.SyncToDisk()
layer = None
data_source.Destroy()
# Mise à jour du Log
ending_event = "statisticsVectorRaster() : Compute statistic crossing ending : "
timeLine(path_time_log, ending_event)
return
def split_superpixels_and_reference(
vector_file: str,
superpix_column: Optional[str] = "superpix",
driver_in: Optional[str] = "SQLite",
working_dir: Optional[str] = None,
logger: Optional[logging.Logger] = LOGGER) -> None:
"""
reference feature contains the value 0 in column 'superpix'
Parameters
----------
vector_file : string
the input vector file
superpix_column: string
the column name for superpixels in vector_file
driver : string
the vector_file format
Return
------
None
"""
import ogr
import shutil
from iota2.Common.Utils import run
driver = ogr.GetDriverByName(driver_in)
data_source = driver.Open(vector_file, 0)
layer = data_source.GetLayer()
table_name = layer.GetName()
feat = layer.GetNextFeature()
geom = feat.GetGeometryRef()
spatial_ref = geom.GetSpatialReference()
epsg_code = int(spatial_ref.GetAttrValue("AUTHORITY", 1))
vectors_dir, vector_name = os.path.split(vector_file)
tmp_dir = vectors_dir
if working_dir:
tmp_dir = working_dir
superpix_db = os.path.join(
tmp_dir, vector_name.replace("learn.sqlite", "SP.sqlite"))
ref_db = os.path.join(tmp_dir,
vector_name.replace("learn.sqlite", "REF.sqlite"))
logger.info(
f"Extract superpixel samples from file {superpix_db} and save it "
f"in {superpix_db}")
sql = f"select * from {table_name} where {superpix_column}!={0}"
cmd = (
f'ogr2ogr -t_srs EPSG:{epsg_code} -s_srs EPSG:{epsg_code} -nln'
f' {table_name} -f "{driver_in}" -sql "{sql}" {superpix_db} {vector_file}'
)
run(cmd)
logger.info(
f"Extract reference samples from file {vector_file} and save it"
f" in {vector_file}")
sql = f"select * from {table_name} where {superpix_column}={0}"
cmd = (f'ogr2ogr -t_srs EPSG:{epsg_code} -s_srs EPSG:{epsg_code} '
f'-nln {table_name} -f "{driver_in}" -sql "{sql}" '
f'{ref_db} {vector_file}')
run(cmd)
shutil.move(ref_db, vector_file)
if working_dir:
shutil.copy(superpix_db, vectors_dir)
os.remove(superpix_db)
# TODO : replace og2ogr by geopandas ?
# conn = sqlite3.connect(vector_file)
# df = geopd.GeoDataFrame.from_postgis(sql, conn, geom_col="geometry")
# conn_out = sqlite3.connect(vector_file.replace(".sqlite", "_V3.sqlite"))
# df.to_sql(table_name, conn_out)
return vector_file, os.path.join(vectors_dir,
os.path.split(superpix_db)[-1])
def main(outputGridfn, xmin, xmax, ymin, ymax, gridHeight, gridWidth):
# convert sys.argv to float
xmin = float(xmin)
xmax = float(xmax)
ymin = float(ymin)
ymax = float(ymax)
gridWidth = float(gridWidth)
gridHeight = float(gridHeight)
# get rows
rows = ceil((ymax - ymin) / gridHeight)
# get columns
cols = ceil((xmax - xmin) / gridWidth)
# start grid cell envelope
ringXleftOrigin = xmin
ringXrightOrigin = xmin + gridWidth
ringYtopOrigin = ymax
ringYbottomOrigin = ymax - gridHeight
# create output file
outDriver = ogr.GetDriverByName('ESRI Shapefile')
if os.path.exists(outputGridfn):
os.remove(outputGridfn)
outDataSource = outDriver.CreateDataSource(outputGridfn)
outLayer = outDataSource.CreateLayer(outputGridfn,
geom_type=ogr.wkbPolygon)
featureDefn = outLayer.GetLayerDefn()
# create grid cells
countcols = 0
while countcols < cols:
countcols += 1
# reset envelope for rows
ringYtop = ringYtopOrigin
ringYbottom = ringYbottomOrigin
countrows = 0
while countrows < rows:
countrows += 1
ring = ogr.Geometry(ogr.wkbLinearRing)
ring.AddPoint(ringXleftOrigin, ringYtop)
ring.AddPoint(ringXrightOrigin, ringYtop)
ring.AddPoint(ringXrightOrigin, ringYbottom)
ring.AddPoint(ringXleftOrigin, ringYbottom)
ring.AddPoint(ringXleftOrigin, ringYtop)
poly = ogr.Geometry(ogr.wkbPolygon)
poly.AddGeometry(ring)
# add new geom to layer
outFeature = ogr.Feature(featureDefn)
outFeature.SetGeometry(poly)
outLayer.CreateFeature(outFeature)
outFeature.Destroy
# new envelope for next poly
ringYtop = ringYtop - gridHeight
ringYbottom = ringYbottom - gridHeight
# new envelope for next poly
ringXleftOrigin = ringXleftOrigin + gridWidth
ringXrightOrigin = ringXrightOrigin + gridWidth
# Close DataSources
outDataSource.Destroy()
def identifyIntersections(in_shp_pth, out_shp_pth, id_field="ID"):
"""
VERY SLOW
Identifies intersections between polygons of a shapefile. Writes intersections specfied output path.
:param in_shp_pth: Input shapefile of polygons.
:param out_pth: Output path to which the intersections are written. Input filename will be extended by
"_intersections".
:return: No object returned, but shapefile will be written to disc.
"""
import os
import ogr
import vector
in_shp = ogr.Open(in_shp_pth, 0)
in_lyr = in_shp.GetLayer()
fname_lst = vector.getFieldNames(in_shp)
copy_shp, copy_lyr = vector.copyLayerToMemory(in_lyr)
drv_shp = ogr.GetDriverByName('ESRI Shapefile')
in_sr = in_lyr.GetSpatialRef()
in_lyr_defn = in_lyr.GetLayerDefn()
if os.path.exists(out_shp_pth):
drv_shp.DeleteDataSource(out_shp_pth)
inters_shp = drv_shp.CreateDataSource(out_shp_pth)
lyr_name = os.path.splitext(os.path.split(out_shp_pth)[1])[0]
geom_type = ogr.wkbPolygon
inters_lyr = inters_shp.CreateLayer(lyr_name, in_sr, geom_type=geom_type)
for i in range(0, in_lyr_defn.GetFieldCount()):
field_def = in_lyr_defn.GetFieldDefn(i)
inters_lyr.CreateField(field_def)
# inters_lyr.CreateField(ogr.FieldDefn('ID', ogr.OFTInteger64))
inters_lyr.CreateField(ogr.FieldDefn('IDInters', ogr.OFTString))
inters_lyr_defn = inters_lyr.GetLayerDefn()
num_fields = inters_lyr_defn.GetFieldCount()
id_inters_lst = []
for feat_curr in in_lyr:
id1 = feat_curr.GetField(id_field)
# print("FEATURE: {}".format(id1))
geom_curr = feat_curr.GetGeometryRef()
copy_lyr.SetSpatialFilter(geom_curr)
for feat_nb in copy_lyr:
id2 = feat_nb.GetField(id_field)
id_inters = '{0}_{1}'.format(min([id1, id2]), max([id1, id2]))
geom_nb = feat_nb.geometry()
if id1 != id2:
# print("Neighbouring features: {}".format(id2))
if geom_nb.Intersects(geom_curr):
intersection = geom_nb.Intersection(geom_curr)
if intersection == None:
area_inters = 0
else:
geom_type = intersection.GetGeometryName()
if geom_type not in [
'POLYGON', 'MULTIPOLYGON'
]: # in ['MULTILINESTRING', 'POINT', 'LINESTRING','MULTIPOINT']: #alternatively
intersection = None
area_inters = 0
else:
area_inters = round(intersection.Area(), 1)
else:
intersection = None
area_inters = 0
## if the id of the intersection is not already in the list and its area is bigger than 0
## then add this feature to the intersection layer
if area_inters > 0.0 and id_inters not in id_inters_lst:
intersection = intersection.Buffer(0)
intersection = intersection.MakeValid()
wkt_inters = intersection.ExportToWkt()
poly = ogr.CreateGeometryFromWkt(wkt_inters)
out_feat = ogr.Feature(inters_lyr_defn)
out_feat.SetGeometry(poly)
for fname in fname_lst:
ind = fname_lst.index(fname)
attr = feat_curr.GetField(fname)
out_feat.SetField(ind, attr)
ind = len(fname_lst)
out_feat.SetField(ind, id_inters)
inters_lyr.CreateFeature(out_feat)
ouf_feat = None
id_inters_lst.append(id_inters)
else:
pass
copy_lyr.SetSpatialFilter(None)
copy_lyr.ResetReading()
in_lyr.ResetReading()
inters_lyr.ResetReading()
del copy_shp, copy_lyr
del inters_shp, inters_lyr
del in_shp, in_lyr
except ImportError:
from osgeo import osr
#an example shapefile file
shp_file = "../static_files/shapefile/watershed/huc18_250k.shp"
#open the shapefile
shp_datasource = ogr.Open(shp_file)
#create spatial reference
srs = osr.SpatialReference()
#in this case wgs84
srs.ImportFromEPSG(4326)
#set driver to KML to be able to create kml file
driver = ogr.GetDriverByName('KML')
#kml file to export
kml_file = 'line.kml'
#kml layer
layer_name = 'kml_layer'
#create a kml datasource
kml_datasource = driver.CreateDataSource(kml_file)
#create a kml layer for kml datasource
kml_layer = kml_datasource.CreateLayer(layer_name, srs, ogr.wkbLineString)
#get shapefile layer number
layer_number = shp_datasource.GetLayerCount()
for i in range(len(polygon_coords) - 1):
lon_interp = np.linspace(polygon_coords[i][0],
polygon_coords[i + 1][0], 100)
lat_interp = np.linspace(polygon_coords[i][1],
polygon_coords[i + 1][1], 100)
list_lon_interp.append(lon_interp)
list_lat_interp.append(lat_interp)
all_lon_interp = np.concatenate(list_lon_interp)
all_lat_interp = np.concatenate(list_lat_interp)
return np.array(list(zip(all_lon_interp, all_lat_interp)))
ds_shp_in = ogr.GetDriverByName('ESRI Shapefile').Open(fn_shp_in, 0)
ds_shp_out = ogr.GetDriverByName('ESRI Shapefile').CreateDataSource(fn_shp_out)
srs = osr.SpatialReference()
srs.ImportFromEPSG(4326)
layer_out = ds_shp_out.CreateLayer('buff', srs=srs, geom_type=ogr.wkbPolygon)
layer_in = ds_shp_in.GetLayer()
multipoly = ogr.Geometry(ogr.wkbMultiPolygon)
for feature in layer_in:
geom = feature.GetGeometryRef()
print('Working on:' + feature.GetField('RGIId'))
def ogr_gxt_3():
if gdaltest.gxt_ds is not None:
gdaltest.gxt_ds.Destroy()
gdaltest.gxt_ds = None
src_ds = ogr.Open('data/points.gxt')
try:
os.remove('tmp/tmp.gxt')
except:
pass
# Duplicate all the points from the source GXT
src_lyr = src_ds.GetLayerByName('points.points')
gdaltest.gxt_ds = ogr.GetDriverByName('Geoconcept').CreateDataSource(
'tmp/tmp.gxt')
srs = osr.SpatialReference()
srs.SetWellKnownGeogCS('WGS84')
gxt_lyr = gdaltest.gxt_ds.CreateLayer('points',
srs,
geom_type=ogr.wkbPoint)
src_lyr.ResetReading()
for i in range(src_lyr.GetLayerDefn().GetFieldCount()):
field_defn = src_lyr.GetLayerDefn().GetFieldDefn(i)
gxt_lyr.CreateField(field_defn)
dst_feat = ogr.Feature(feature_def=gxt_lyr.GetLayerDefn())
feat = src_lyr.GetNextFeature()
while feat is not None:
dst_feat.SetFrom(feat)
if gxt_lyr.CreateFeature(dst_feat) != 0:
gdaltest.post_reason('CreateFeature failed.')
return 'fail'
feat = src_lyr.GetNextFeature()
dst_feat.Destroy()
src_ds.Destroy()
gdaltest.gxt_ds.Destroy()
gdaltest.gxt_ds = None
# Read the newly written GXT file and check its features and geometries
gdaltest.gxt_ds = ogr.Open('tmp/tmp.gxt')
gxt_lyr = gdaltest.gxt_ds.GetLayerByName('points.points')
if not gxt_lyr.GetSpatialRef().IsSame(srs):
gdaltest.post_reason('Output SRS is not the one expected.')
return 'fail'
expect = ['PID1', 'PID2']
tr = ogrtest.check_features_against_list(gxt_lyr, 'Primary_ID', expect)
if not tr:
return 'fail'
gxt_lyr.ResetReading()
expect = ['SID1', 'SID2']
tr = ogrtest.check_features_against_list(gxt_lyr, 'Secondary_ID', expect)
if not tr:
return 'fail'
gxt_lyr.ResetReading()
expect = ['TID1', None]
tr = ogrtest.check_features_against_list(gxt_lyr, 'Third_ID', expect)
if not tr:
return 'fail'
gxt_lyr.ResetReading()
feat = gxt_lyr.GetNextFeature()
if ogrtest.check_feature_geometry(
feat, 'POINT(0 1)', max_error=0.000000001) != 0:
return 'fail'
feat = gxt_lyr.GetNextFeature()
if ogrtest.check_feature_geometry(
feat, 'POINT(2 3)', max_error=0.000000001) != 0:
return 'fail'
return 'success'
import osr
import os
import shutil
# Source and target file names
srcName = "NYC_MUSEUMS_LAMBERT.shp"
tgtName = "NYC_MUSEUMS_GEO.shp"
# Target spatial reference
tgt_spatRef = osr.SpatialReference()
tgt_spatRef.ImportFromEPSG(4326)
# Account for the flipped axis change in the latest GDAL
tgt_spatRef.SetAxisMappingStrategy(0)
# Source shapefile
driver = ogr.GetDriverByName("ESRI Shapefile")
src = driver.Open(srcName, 0)
srcLyr = src.GetLayer()
# Source spatial reference
src_spatRef = srcLyr.GetSpatialRef()
# Target shapefile -
# delete if it's already
# there.
if os.path.exists(tgtName):
driver.DeleteDataSource(tgtName)
tgt = driver.CreateDataSource(tgtName)
lyrName = os.path.splitext(tgtName)[0]
tgtLyr = tgt.CreateLayer(lyrName, geom_type=ogr.wkbPoint)
def point2Shp(df_osm, valueArray, fn, pt_lyrName_w, ref_lyr=False):
ds = ogr.Open(fn, 1)
# '''参考层，用于空间坐标投影，字段属性等参照'''
# ref_lyr=ds.GetLayer(ref_lyr)
# ref_sr=ref_lyr.GetSpatialRef()
# print(ref_sr)
# ref_schema=ref_lyr.schema #查看属性表字段名和类型
# for field in ref_schema:
# print(field.name,field.GetTypeName())
'''建立新的datasource数据源'''
sf_driver = ogr.GetDriverByName('ESRI Shapefile')
sfDS = os.path.join(fn, r'sf')
# if os.path.exists(sfDS):
# sf_driver.DeleteDataSource(sfDS)
pt_ds = sf_driver.CreateDataSource(sfDS)
if pt_ds is None:
sys.exit('Could not open{0}'.format(sfDS))
'''建立新layer层'''
if pt_ds.GetLayer(pt_lyrName_w):
pt_ds.DeleteLayer(pt_lyrName_w)
spatialRef = osr.SpatialReference()
spatialRef.SetWellKnownGeogCS(
"WGS84") #需要注意直接定义大地坐标未"WGS84"，而未使用参考层提取的坐标投影系统
pt_lyr = pt_ds.CreateLayer(pt_lyrName_w, spatialRef, ogr.wkbPoint)
# pt_lyr=pt_ds.CreateLayer(pt_lyrName_w,ref_sr,ogr.wkbPoint)
'''配置字段，名称以及类型和相关参数'''
# pt_lyr.CreateFields(ref_schema)
LatFd = ogr.FieldDefn("origiLat", ogr.OFTReal)
LatFd.SetWidth(20)
LatFd.SetPrecision(3)
pt_lyr.CreateField(LatFd)
LatFd.SetName("origiLong")
pt_lyr.CreateField(LatFd)
# pt_lyr.CreateFields(ref_schema)
preFd = ogr.FieldDefn("type", ogr.OFTString)
pt_lyr.CreateField(preFd)
preFd.SetName("tagkey")
pt_lyr.CreateField(preFd)
preFd.SetName("tagvalue")
pt_lyr.CreateField(preFd)
preFd = ogr.FieldDefn("cluster", ogr.OFTInteger)
pt_lyr.CreateField(preFd)
# preFd.SetName("cluster")
# pt_lyr.CreateField(preFd)
# stationName=ogr.FieldDefn("stationN",ogr.OFTString)
# pt_lyr.CreateField(stationName)
# preFd.SetName("ObservTime")
# pt_lyr.CreateField(preFd)
#
'''建立feature空特征和设置geometry几何类型'''
print(pt_lyr.GetLayerDefn())
pt_feat = ogr.Feature(pt_lyr.GetLayerDefn())
# idx=0
for i in tqdm(range(valueArray.shape[0])): #循环feature
# print(key)
'''设置几何体'''
#pt_ref=feat.geometry().Clone()
# converCoordiGCJ=cc.bd09togcj02(dataBunch.data[i][1],dataBunch.data[i][0])
# converCoordiGPS84=cc.gcj02towgs84(converCoordiGCJ[0],converCoordiGCJ[1])
# print(wdCoordiDicSingle[key][1],wdCoordiDicSingle[key][0])
# print(converCoordiGPS84[0], converCoordiGPS84[1])
wkt = "POINT(%f %f)" % (df_osm["lon"][i], df_osm["lat"][i])
# wkt="POINT(%f %f)" % (dataBunch.data[i][0], dataBunch.data[i][1])
newPt = ogr.CreateGeometryFromWkt(wkt) #使用wkt的方法建立点
pt_feat.SetGeometry(newPt)
'''设置字段值'''
# for i_field in range(feat.GetFieldCount()):
# pt_feat.SetField(i_field,feat.GetField(i_field))
pt_feat.SetField("origiLat", df_osm["lat"][i])
pt_feat.SetField("origiLong", df_osm["lon"][i])
# print(wdDicComplete[key]['20140901190000'])
pt_feat.SetField("type", df_osm["type"][i]) #
pt_feat.SetField("tagkey", df_osm["tagkey"][i])
pt_feat.SetField("tagvalue", df_osm["tagvalue"][i])
pt_feat.SetField("cluster", int(valueArray[i]))
# print(idx,int(valueArray[idx]),pt_ref.GetX())
# idx+=1
'''根据设置的几何体和字段值，建立feature。循环建立多个feature特征'''
pt_lyr.CreateFeature(pt_feat)
del ds
def build_tiles_shp(mosaicname, tiles, params):
tiles_shp = mosaicname + "_tiles.shp"
if os.path.isfile(tiles_shp):
logger.info("Tiles shapefile already exists: %s" %os.path.basename(tiles_shp))
else:
logger.info("Creating shapefile of tiles: %s" %os.path.basename(tiles_shp))
fields = [('ROW', ogr.OFTInteger, 4),
('COL', ogr.OFTInteger, 4),
("TILENAME", ogr.OFTString, 100),
('TILEPATH', ogr.OFTString, 254),
('XMIN', ogr.OFTReal, 0),
('XMAX', ogr.OFTReal, 0),
('YMIN', ogr.OFTReal, 0),
('YMAX', ogr.OFTReal, 0)]
OGR_DRIVER = "ESRI Shapefile"
ogrDriver = ogr.GetDriverByName(OGR_DRIVER)
if ogrDriver is None:
logger.error("OGR: Driver %s is not available" % OGR_DRIVER)
sys.exit(-1)
if os.path.isfile(tiles_shp):
ogrDriver.DeleteDataSource(tiles_shp)
vds = ogrDriver.CreateDataSource(tiles_shp)
if vds is None:
logger.error("Could not create shp")
sys.exit(-1)
shpd, shpn = os.path.split(tiles_shp)
shpbn, shpe = os.path.splitext(shpn)
rp = osr.SpatialReference()
rp.ImportFromWkt(params.proj)
lyr = vds.CreateLayer(shpbn, rp, ogr.wkbPolygon)
if lyr is None:
logger.error("ERROR: Failed to create layer: %s" % shpbn)
sys.exit(-1)
for fld, fdef, flen in fields:
field_defn = ogr.FieldDefn(fld, fdef)
if fdef == ogr.OFTString:
field_defn.SetWidth(flen)
if lyr.CreateField(field_defn) != 0:
logger.error("ERROR: Failed to create field: %s" % fld)
for t in tiles:
feat = ogr.Feature(lyr.GetLayerDefn())
feat.SetField("TILENAME",os.path.basename(t.name))
feat.SetField("TILEPATH",t.name)
feat.SetField("ROW",t.j)
feat.SetField("COL",t.i)
feat.SetField("XMIN",t.xmin)
feat.SetField("XMAX",t.xmax)
feat.SetField("YMIN",t.ymin)
feat.SetField("YMAX",t.ymax)
feat.SetGeometry(t.geom)
if lyr.CreateFeature(feat) != 0:
logger.error("ERROR: Could not create feature for tile %s" % tile)
feat.Destroy()
def get_skelton(tifname, dso=None, name_use=None, fn_censor=None):
if name_use is None: name_use = tifname
name_use = os.path.basename(name_use)
ds = gdal.Open(tifname)
gt = np.array(ds.GetGeoTransform())
nc = ds.RasterXSize
nr = ds.RasterYSize
# get projection
srs = osr.SpatialReference()
srs.ImportFromWkt(ds.GetProjection())
# if its sinusoidal, i know what to do
if fn_censor is None:
srs0 = osr.SpatialReference()
srs0.ImportFromProj4(
'+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs'
)
#print(srs)
#print(srs0)
# this IsSame doesnt work...
if srs.IsSame(srs0):
# given y coord, i can calculate length of the parallel.
# if x coord is beyond what's expected, shift to the x bound
fn_censor = censor_sinu
else:
fn_censor = lambda x: x
# get corners and points along sides
# points on one side
num = 50
xp = np.rint(np.linspace(0, nc, num + 1))
yp = np.rint(np.linspace(0, nr, num + 1))
# coords along four sides
xy = np.zeros(((num) * 4 + 1, 2))
xy[(0 * num):(1 * num), 0] = 0
xy[(0 * num):(1 * num), 1] = yp[:-1]
xy[(1 * num):(2 * num), 0] = xp[:-1]
xy[(1 * num):(2 * num), 1] = yp[-1]
xy[(2 * num):(3 * num), 0] = xp[-1]
xy[(2 * num):(3 * num), 1] = yp[:0:-1]
xy[(3 * num):(4 * num), 0] = xp[:0:-1]
xy[(3 * num):(4 * num), 1] = 0
xy[(4 * num), :] = 0
# inver order so that points go clockwise, somwhow it works better in shapely
# with original ordering, it failed to fix the shape in siberia ('h22v01'),
# for example. top right tile which tourches boundary seemed to fail
# better way is to not rely on censor method, which shift out of boundary points
# horizontally to boundary but also check if vertical correction is needed
# (move to intersection of side of tile and the boundary), but i just let it
# go for now, it is sort of working
#
xy = xy[::-1, :]
# coords in dataset's coordinate
xy = np.apply_along_axis(
lambda p: (gt[0] + (gt[1:3] * p).sum(), gt[3] + (gt[4:6] * p).sum()),
1, xy)
# censor points outside of defined area
xy = fn_censor(xy)
# remove repeated points (after censoring)
ok = [0]
for i in range(1, (xy.shape[0])):
if not np.array_equal(xy[i - 1, :], xy[i, :]):
ok.append(i)
xy = xy[ok, :]
# make it into polygon
poly = Polygon(xy)
if not poly.is_valid:
poly = poly.buffer(0)
if not poly.is_valid:
import pdb
pdb.set_trace()
assert poly.area > 0
# ogr memory dataset
if dso is None:
# create dataset
drv = ogr.GetDriverByName('Memory')
dso = drv.CreateDataSource('poly')
lyr = dso.CreateLayer('', srs, ogr.wkbPolygon)
lyr.CreateField(ogr.FieldDefn('id', ogr.OFTInteger))
fdefn = ogr.FieldDefn('name', ogr.OFTString)
fdefn.SetWidth(255)
lyr.CreateField(fdefn)
defn = lyr.GetLayerDefn()
idn = 1
else:
# last record
lyr = dso.GetLayer()
defn = lyr.GetLayerDefn()
idn = lyr.GetFeatureCount()
idn = max(idn, lyr.GetFeature(idn - 1).GetField('id')) + 1
# add the polygon to the dataset
feat = ogr.Feature(defn)
feat.SetField('id', idn)
feat.SetField('name', name_use)
geom = ogr.CreateGeometryFromWkb(poly.wkb)
feat.SetGeometry(geom)
lyr.CreateFeature(feat)
feat = geom = None
lyr = None
return dso
def fault2shp(corner_lons,
corner_lats,
output_shp,
corner_depths=None,
vertice_array=False):
"""Function for writing a fault geometry to a shapefile
"""
# Create a Polygon from the extent tuple
ring = ogr.Geometry(ogr.wkbLinearRing)
#for i in range(len(corner_lons)):
# need to get in right order
if vertice_array:
# Assume corner_lons, corner_lats are 2 1D array
# giving the corrdinates of the polygon boundary
for i in range(len(corner_lons)):
ring.AddPoint(corner_lons[i], corner_lats[i])
ring.AddPoint(corner_lons[0], corner_lats[0]) # close polygon
else:
ring.AddPoint(corner_lons[0], corner_lats[0])
ring.AddPoint(corner_lons[1], corner_lats[1])
ring.AddPoint(corner_lons[3], corner_lats[3])
ring.AddPoint(corner_lons[2], corner_lats[2])
ring.AddPoint(corner_lons[0], corner_lats[0]) # close polygon
poly = ogr.Geometry(ogr.wkbPolygon)
poly.AddGeometry(ring)
drv = ogr.GetDriverByName('ESRI Shapefile')
# Remove output shapefile if it already exists
if os.path.exists(output_shp):
drv.DeleteDataSource(output_shp)
# Create the output shapefile
outDataSource = drv.CreateDataSource(output_shp)
outLayer = outDataSource.CreateLayer("Fault_geom",
geom_type=ogr.wkbPolygon)
# Add an ID field
idField = ogr.FieldDefn("id", ogr.OFTInteger)
outLayer.CreateField(idField)
# Add a depth field
depthField = ogr.FieldDefn("mean_depth", ogr.OFTReal)
outLayer.CreateField(depthField)
# Create the feature and set values
featureDefn = outLayer.GetLayerDefn()
feature = ogr.Feature(featureDefn)
feature.SetGeometry(poly)
feature.SetField("id", 1)
feature.SetField("mean_depth", mean(corner_depths))
outLayer.CreateFeature(feature)
feature = None
# Save and close
outDataSource = None
drv = None
# Now write upper trace to line shapefile
line = ogr.Geometry(ogr.wkbLineString)
corner_depths = list(corner_depths)
min_dep = min(corner_depths)
min_dep_index = corner_depths.index(min(corner_depths))
print min_dep_index
line.AddPoint(corner_lons[min_dep_index], corner_lats[min_dep_index])
corner_depths[min_dep_index] = 1e10
min_dep_2 = min(corner_depths)
min_dep_index_2 = corner_depths.index(min(corner_depths))
print min_dep_index_2
line.AddPoint(corner_lons[min_dep_index_2], corner_lats[min_dep_index_2])
corner_depths[min_dep_index] = min_dep
print min_dep, min_dep_2
mean_upper_depth = mean([min_dep, min_dep_2])
print mean_upper_depth
drv = ogr.GetDriverByName('ESRI Shapefile')
output_shp = output_shp.rstrip('.shp') + '_upper_edge.shp'
# Remove output shapefile if it already exists
if os.path.exists(output_shp):
drv.DeleteDataSource(output_shp)
# Create the output shapefile
outDataSource = drv.CreateDataSource(output_shp)
outLayer = outDataSource.CreateLayer("Fault_geom",
geom_type=ogr.wkbLineString)
# Add a depth field
depthField = ogr.FieldDefn("mean_depth", ogr.OFTReal)
outLayer.CreateField(depthField)
# Create the feature and set values
featureDefn = outLayer.GetLayerDefn()
feature = ogr.Feature(featureDefn)
feature.SetGeometry(line)
feature.SetField("mean_depth", mean_upper_depth)
outLayer.CreateFeature(feature)
feature = None
# Save and close
outDataSource = None
drv = None
def work_polygonize(self, tifnames, dstdir, bname, dryrun=False):
# create vrt first, and then generate tiled warped files
if not os.path.exists(dstdir): os.makedirs(dstdir)
# create vrtual dataset
vrtname = os.path.join(dstdir, 'src.vrt')
#cmd = 'gdalbuildvrt %s %s' % ( vrtname, ' '.join(tifnames))
# anaconda on win had trouble with long command line, ,so rewrote with -input_file_ist
with open('tifnames.txt', 'w') as f:
f.write('\n'.join(tifnames) + '\n')
cmd = 'gdalbuildvrt %s -input_file_list %s' % (vrtname, 'tifnames.txt')
status = os.system(cmd)
if status != 0:
raise RuntimeError('exit status %s, cmd = %s' % (status, cmd))
# open the unified band
ds = gdal.Open(vrtname)
srs0 = ds.GetProjection()
#print(srs0)
#print(ds)
b = ds.GetRasterBand(1)
# create mask band
# valid data are 1-366. 0 is unbunred, -1 fill, -2 water
# mask file should has 1 for valid, 0 for invalid
drv = gdal.GetDriverByName('MEM')
dsm = drv.CreateCopy('mem0', ds)
m = dsm.GetRasterBand(1)
# TODO
# this may bomb if raster is large
# solution, make mask for each tile
# maybe do it with scratch file, not memory
# then make vrt
# Band.CreateMaskBand() may be useful
try:
arr = m.ReadAsArray()
print('good')
except Exception as e:
print(e)
raise
arr[arr < 0] = 0
m.WriteArray(arr)
oname0 = os.path.join(dstdir, '.'.join([bname, 'sinu', 'poly', 'shp']))
oname = os.path.join(dstdir, '.'.join([bname, 'poly', 'shp']))
#print(oname0)
#print(oname)
# output shapefile
#drv = ogr.GetDriverByName('Memory')
drv = ogr.GetDriverByName('ESRI Shapefile')
if os.path.exists(oname0):
drv.DeleteDataSource(oname0)
# import pdb
# pdb.set_trace()
dst0 = drv.CreateDataSource(oname0)
srs = osr.SpatialReference()
srs.ImportFromWkt(srs0)
#print(dst0)
#print(ogr)
lyr0 = dst0.CreateLayer('lyr0', srs, ogr.wkbPolygon)
#print(lyr0)
# need point shape file too
onamep0 = os.path.join(dstdir, '.'.join([bname, 'sinu', 'pnt', 'shp']))
onamep = os.path.join(dstdir, '.'.join([bname, 'pnt', 'shp']))
if os.path.exists(onamep0):
drv.DeleteDataSource(onamep0)
dstp0 = drv.CreateDataSource(onamep0)
lyrp0 = dstp0.CreateLayer('lyrp0', srs, ogr.wkbPoint)
fd = ogr.FieldDefn('BurnYear', ogr.OFTInteger)
lyr0.CreateField(fd)
lyrp0.CreateField(fd)
fd = ogr.FieldDefn('BurnDate', ogr.OFTInteger)
lyr0.CreateField(fd)
lyrp0.CreateField(fd)
fd = ogr.FieldDefn('area_sqkm', ogr.OFTReal)
lyr0.CreateField(fd)
fld = 1 #second field
def pointize(b, m, lyrp0, fld):
# similar to gdal.Polygonize()
a = b.ReadAsArray()
#jdx,idx = np.nonzero(m)
indices = np.nonzero(m.ReadAsArray())
if len(indices) == 1:
# i am guessing it means empty
return
#print(indices)
jdx, idx = indices
gt = b.GetDataset().GetGeoTransform()
xcoord = (idx + .5) * gt[1] + gt[0]
ycoord = (jdx + .5) * gt[5] + gt[3]
n = xcoord.size
fldname = lyrp0.GetLayerDefn().GetFieldDefn(fld).GetNameRef()
print(n)
#print(lyr0.GetFeatureCount())
print(lyrp0.GetFeatureCount())
for i in range(n):
geom = ogr.Geometry(ogr.wkbPoint)
geom.AddPoint(xcoord[i], ycoord[i])
v = a[jdx[i], idx[i]]
feat = ogr.Feature(lyrp0.GetLayerDefn())
#print(fldname)
#print(a[jdx[i],idx[i]].astype(int))
#print(type(a[jdx[i],idx[i]].astype(int)))
#print(type(1))
# TODO there should be more cleaner way
feat.SetField(fldname, int(a[jdx[i], idx[i]].astype(int)))
feat.SetGeometry(geom)
lyrp0.CreateFeature(feat)
del feat
#print(lyr0.GetFeatureCount())
print(lyrp0.GetFeatureCount())
gdal.Polygonize(b, m, lyr0, fld, [], callback=None)
pointize(b, m, lyrp0, fld)
print(lyrp0.GetFeatureCount())
lyrp0.SyncToDisk()
# close and reopen. ugly...
del lyrp0
del dstp0
subprocess.run(['ls', '-l', onamep0], check=True)
#subprocess.run(['ogrinfo', onamep0], check=True)
dstp0 = drv.Open(onamep0)
del b, m # band
del ds, dsm # raster
lyr0.SetNextByIndex(0)
for i, feat in enumerate(lyr0):
feat.SetField('BurnYear', self.year)
geom = feat.GetGeometryRef()
feat.SetField('area_sqkm', geom.GetArea() / 1000000)
lyr0.SetFeature(feat)
# project
target_projection = '+proj=longlat +datum=WGS84 +no_defs'
drv = ogr.GetDriverByName('ESRI Shapefile')
if os.path.exists(oname):
drv.DeleteDataSource(oname)
srs1 = osr.SpatialReference()
srs1.ImportFromProj4(target_projection)
dst = transform_coordinates(dst0, srs1, drv, oname=oname)
del lyr0
del dst0
if os.path.exists(onamep):
drv.DeleteDataSource(onamep)
# Couldn't figure out why this does work, so use gdalwarp command
#dstp = transform_coordinates(dstp0, srs1, drv, oname=onamep)
del dstp0
subprocess.run(['ls', '-l', onamep0], check=True)
subprocess.run(['ogrinfo', onamep0], check=True)
subprocess.run(
['ogr2ogr', '-t_srs', target_projection, onamep, onamep0],
check=True)
#del lyrp0
#del dstp0
#del dstp
return dst
def ogr_vrt_20():
if gdaltest.vrt_ds is None:
return 'skip'
gdal.PushErrorHandler('CPLQuietErrorHandler')
try:
ogr.GetDriverByName('ESRI Shapefile').DeleteDataSource('tmp/test.shp')
except:
pass
gdal.PopErrorHandler()
shp_ds = ogr.GetDriverByName('ESRI Shapefile').CreateDataSource(
'tmp/test.shp')
shp_lyr = shp_ds.CreateLayer('test')
feat = ogr.Feature(shp_lyr.GetLayerDefn())
geom = ogr.CreateGeometryFromWkt('POINT (-10 45)')
feat.SetGeometryDirectly(geom)
shp_lyr.CreateFeature(feat)
feat.Destroy()
feat = ogr.Feature(shp_lyr.GetLayerDefn())
geom = ogr.CreateGeometryFromWkt('POINT (-10 49)')
feat.SetGeometryDirectly(geom)
shp_lyr.CreateFeature(feat)
feat.Destroy()
feat = ogr.Feature(shp_lyr.GetLayerDefn())
geom = ogr.CreateGeometryFromWkt('POINT (2 49)')
feat.SetGeometryDirectly(geom)
shp_lyr.CreateFeature(feat)
feat.Destroy()
feat = ogr.Feature(shp_lyr.GetLayerDefn())
geom = ogr.CreateGeometryFromWkt('POINT (-10 49)')
feat.SetGeometryDirectly(geom)
shp_lyr.CreateFeature(feat)
feat.Destroy()
shp_ds.ExecuteSQL('CREATE SPATIAL INDEX on test')
shp_ds.Destroy()
vrt_xml = """
<OGRVRTDataSource>
<OGRVRTLayer name="test">
<SrcDataSource relativeToVRT="0">tmp/test.shp</SrcDataSource>
<SrcLayer>test</SrcLayer>
</OGRVRTLayer>
</OGRVRTDataSource>"""
vrt_ds = ogr.Open(vrt_xml)
vrt_lyr = vrt_ds.GetLayerByName('test')
if vrt_lyr.TestCapability(ogr.OLCFastFeatureCount) != 1:
gdaltest.post_reason('Fast feature count not set.')
return 'fail'
if vrt_lyr.TestCapability(ogr.OLCFastSpatialFilter) != 1:
gdaltest.post_reason('Fast filter not set.')
return 'fail'
if vrt_lyr.TestCapability(ogr.OLCFastGetExtent) != 1:
gdaltest.post_reason('Fast extent not set.')
return 'fail'
extent = vrt_lyr.GetExtent()
if extent != (-10.0, 2.0, 45.0, 49.0):
gdaltest.post_reason('wrong extent')
print(extent)
return 'fail'
if vrt_lyr.GetFeatureCount() != 4:
gdaltest.post_reason('Feature count not 4 as expected.')
return 'fail'
vrt_lyr.SetSpatialFilterRect(1, 48.5, 3, 49.5)
if vrt_lyr.GetFeatureCount() != 1:
if gdal.GetLastErrorMsg().find('GEOS support not enabled') != -1:
ogr.GetDriverByName('ESRI Shapefile').DeleteDataSource(
'tmp/test.shp')
return 'skip'
print(vrt_lyr.GetFeatureCount())
gdaltest.post_reason('did not get one feature on rect spatial filter.')
return 'fail'
if vrt_lyr.TestCapability(ogr.OLCFastFeatureCount) != 1:
gdaltest.post_reason('Fast feature count not set.')
return 'fail'
if vrt_lyr.TestCapability(ogr.OLCFastGetExtent) != 1:
gdaltest.post_reason('Fast extent not set.')
return 'fail'
extent = vrt_lyr.GetExtent()
# the shapefile driver currently doesn't change the extent even in the
# presence of a spatial filter, so that could change in the future
if extent != (-10.0, 2.0, 45.0, 49.0):
gdaltest.post_reason('wrong extent')
print(extent)
return 'fail'
vrt_lyr.SetSpatialFilterRect(1, 48, 3, 48.5)
if vrt_lyr.GetFeatureCount() != 0:
gdaltest.post_reason('Did not get expected zero feature count.')
return 'fail'
vrt_lyr.SetSpatialFilter(None)
if vrt_lyr.GetFeatureCount() != 4:
gdaltest.post_reason('Feature count not 4 as expected with no filter.')
return 'fail'
vrt_ds.Destroy()
vrt_ds = None
ogr.GetDriverByName('ESRI Shapefile').DeleteDataSource('tmp/test.shp')
return 'success'
displayName = nome[0:len(nome) -
4].split('\\')[len(nome[0:len(nome) - 4].split('\\')) -
1]
filename = QgsVectorLayer(fileroute, displayName, "ogr")
#QgsMapLayerRegistry.instance().addMapLayer(filename,False)
limite = "C://Users//Desktop//kml-shapefile//" + displayName + ".shp"
iface.addVectorLayer(limite, " " + displayName, "ogr")
outputMergefn = 'C://Users//Desktop//kml-shapefile//rodovias.shp'
directory = "C://Users//Desktop//kml-shapefile//"
fileStartsWith = 'rod'
fileEndsWith = '.shp'
driverName = 'ESRI Shapefile'
geometryType = ogr.wkbLineString
out_driver = ogr.GetDriverByName(driverName)
out_ds = out_driver.CreateDataSource(outputMergefn)
out_layer = out_ds.CreateLayer(outputMergefn, geom_type=geometryType)
fileList = os.listdir(directory)
for file in fileList:
if file.startswith(fileStartsWith) and file.endswith(fileEndsWith):
print(file)
ds = ogr.Open(directory + file)
lyr = ds.GetLayer()
for feat in lyr:
out_feat = ogr.Feature(out_layer.GetLayerDefn())
out_feat.SetGeometry(feat.GetGeometryRef().Clone())
out_layer.CreateFeature(out_feat)
out_feat = None
def create_output_shape(dirname):
out_datasource = ogr.GetDriverByName("ESRI Shapefile").CreateDataSource(dirname)
yield out_datasource
out_datasource.Destroy()
def combine_ss_models(filedict,
domains_shp,
lt,
outfile,
nrml_version='04',
weight=1.): #, id_base = 'ASS'):
""" Combine smoothed seismicity models based on tectonic region types
:params filedict:
dict of form filedict[trt] = filename specifying input file for that region
:params domains_shp:
shapefile defining tectonic domain regions
:params lt:
LogicTree object containing relevant values and weights for Mmax
:params outfile:
output nrml formatted file
"""
print 'Getting tectonic region type from %s' % domains_shp
driver = ogr.GetDriverByName("ESRI Shapefile")
data_source = driver.Open(domains_shp, 0)
dsf = data_source.GetLayer()
trt_types = []
for feature in dsf:
trt_types.append(feature.GetField('TRT'))
dsf = shapefile.Reader(domains_shp)
dom_shapes = dsf.shapes()
hypo_depth_dist_nc = PMF([(0.5, 10.0), (0.25, 5.0), (0.25, 15.0)])
hypo_depth_dist_c = PMF([(0.5, 5.0), (0.25, 2.5), (0.25, 10.0)])
hypo_depth_dist_ex = hypo_depth_dist_c
hypo_depth_dict = {
'Cratonic': hypo_depth_dist_c,
'Non_cratonic': hypo_depth_dist_nc,
'Extended': hypo_depth_dist_ex
}
nodal_plane_dist = PMF([(0.3, NodalPlane(0, 30, 90)),
(0.2, NodalPlane(90, 30, 90)),
(0.3, NodalPlane(180, 30, 90)),
(0.2, NodalPlane(270, 30, 90))])
merged_pts = []
# Get mmax values and weights
mmaxs = {}
mmaxs_w = {}
for trt, filename in filedict.iteritems():
if trt == 'Cratonic':
mmax_values, mmax_weights = lt.get_weights('Mmax', 'Proterozoic')
else:
mmax_values, mmax_weights = lt.get_weights('Mmax', trt)
mmax_values = [float(i) for i in mmax_values]
mmax_weights = [float(i) for i in mmax_weights]
print mmax_values
print mmax_weights
mmaxs[trt] = mmax_values
mmaxs_w[trt] = mmax_weights
pt_ids = []
for trt, filename in filedict.iteritems():
print trt
print 'Parsing %s' % filename
# Only keep points within domain
pts = read_pt_source(filename)
# shapes = np.where(trt_types
for zone_trt, dom_shape in zip(trt_types, dom_shapes):
print zone_trt
print dom_shape
if zone_trt == trt:
print 'TRT %s, procesing shape %s' % (zone_trt, dom_shape)
dom_poly = Polygon(dom_shape.points)
for pt in pts:
pt_loc = Point(pt.location.x, pt.location.y)
if pt_loc.within(dom_poly):
pt.tectonic_region_type = zone_trt
pt.nodal_plane_distribution = nodal_plane_dist
pt.hypocenter_distribution = hypo_depth_dict[zone_trt]
pt.rupture_aspect_ratio = 2
mfd = pt.mfd
new_mfd = gr2inc_mmax(mfd, mmaxs[trt], mmaxs_w[trt],
weight)
pt.mfd = new_mfd
if pt.source_id in pt_ids:
print 'Point source %s already exists!' % pt.source_id
print 'Skipping this source for trt %s' % zone_trt
else:
merged_pts.append(pt)
pt_ids.append(pt.source_id)
name = outfile.rstrip('.xml')
if nrml_version == '04':
nodes = list(map(obj_to_node, sorted(merged_pts)))
source_model = Node("sourceModel", {"name": name}, nodes=nodes)
with open(outfile, 'wb') as f:
nrml.write([source_model], f, '%s', xmlns=NAMESPACE)
second = 0
zone = -9 # https://www.esrl.noaa.gov/gmd/grad/solcalc/azel.html
# watch out the longitude for the west hemisphere is positive and east is negative
latitude = 35.668263
longitude = -139.697001
# create fields for different time stamps
hours = [9, 12, 14, 17]
# the output sunexpo shapefile
shpfile = os.path.join(
root, f'sunexpo-{year}-{month}-{day}-{hours[0]}h-to-{hours[1]}h.shp')
# create a shpafile to save the sun duration
driver = ogr.GetDriverByName('ESRI Shapefile')
if os.path.exists(shpfile):
driver.DeleteDataSource(shpfile)
data_source = driver.CreateDataSource(shpfile)
targetSpatialRef = osr.SpatialReference()
targetSpatialRef.ImportFromEPSG(4326)
outLayer = data_source.CreateLayer('Sunexpo', targetSpatialRef, ogr.wkbPoint)
panoId = ogr.FieldDefn('panoid', ogr.OFTString)
outLayer.CreateField(panoId)
for hour in hours:
fieldname = 'expo%s' % (hour)
# -*- coding: utf-8 -*-
"""
Created on Thu May 14 21:28:45 2020
@author: Emile.deBadts
"""
import pandas
import networkx
import gdal, ogr
import json
import numpy as np
from qgis.core import QgsMessageLog
MEM_DRIVER = ogr.GetDriverByName('MEMORY')
MAX_ITERATIONS = 100
def get_angle(p0, p1=np.array([0, 0]), p2=None):
if p2 is None:
p2 = p1 + np.array([1, 0])
v0 = np.array(p0) - np.array(p1)
v1 = np.array(p2) - np.array(p1)
angle = np.math.atan2(np.linalg.det([v0, v1]), np.dot(v0, v1))
return np.degrees(angle)
def bereken_bobs(task, trace_fn, dem_fn, minimale_dekking, maximale_valhoogte,
egalisatie, verhang_tabel, egalisatiehoek):
