def conversion(outRaster, raster):
name = os.path.split(raster)[1][:-4]
# 按掩膜提取
outExtractByMask = None
# 常熟市溯源范围矢量文件
inMaskData = u"E:\\常熟溯源\\矢量\\常熟边界\\常熟市溯源范围.shp"
# 中间文件
outCliptif = outpath + '\\' + fileslist[2] + "\\Clip_" + name + '.tif'
# 剪裁
try:
# Execute ExtractByMask
arcpy.Clip_management(outRaster, "#", outCliptif, inMaskData, "#",
"ClippingGeometry", "NO_MAINTAIN_EXTENT")
except Exception as err:
arcpy.AddMessage("------Clip_management")
arcpy.AddMessage(err)
# 重采样
# resampletif=outpath+"\\"+os.path.split(raster)[1][:-4]+'_resampletif_'+getTime()+'.tif'
# arcpy.Resample_management(outExtractByMask, resampletif, "0.0005", "BILINEAR")
inPointFeatures = outpath + '\\' + fileslist[
3] + "\\RasterToPoint_" + name + '.shp'
arcpy.AddMessage("------栅格转点开始。。。")
try:
arcpy.RasterToPoint_conversion(outCliptif, inPointFeatures, 'VALUE')
except:
arcpy.AddMessage('-------' + inPointFeatures + " 已经存在。。。")
arcpy.AddMessage("------栅格转点完成")
# 克里金插值
Krigingfile = os.path.join(outpath + '\\' + fileslist[4],
'Kriging_' + name + ".tif")
field = "GRID_CODE"
cellSize = 0.00055
outVarRaster = ""
kModel = "Spherical"
kRadius = 20000
# Execute Kriging
try:
arcpy.Kriging_3d(inPointFeatures, field, Krigingfile, kModel, cellSize,
kRadius, outVarRaster)
except:
arcpy.AddMessage('------RasterToPoint_conversion Failed')
# 常熟市范围掩膜
changshumask = u'E:\\常熟溯源\\矢量\\常熟边界\\常熟边界缓冲区-去水域.shp'
outtif = os.path.join(
outpath + '\\' + fileslist[5],
'Changshumask_' + os.path.split(raster)[1][:-4] + ".tif")
# 按掩膜提取
try:
# Execute ExtractByMask
outMask = arcpy.sa.ExtractByMask(Krigingfile, changshumask)
outCon = arcpy.sa.Con(arcpy.sa.IsNull(outMask), 0.0001, outMask)
outCon.save(outtif)
except Exception as err:
arcpy.AddMessage("------ExtractByMask Failed")
arcpy.AddMessage(err)
createTraceFiles(outtif, name)
def krig(a, b, c, CC): #空间插值
rows = arcpy.da.SearchCursor(a, ['FID'])
for row in rows:
y = row[0]
del rows, row
if y >= 12:
p = "Variable %d" % (12)
else:
p = "Variable %d" % (y - 1)
arcpy.Kriging_3d(a, b, c, "Spherical", CC, p)
return b
def Krig(inPointFeatures, zField, outRaster, in_Mask):
if os.path.exists(outRaster):
return
kModel = "CIRCULAR"
cellSize = 0.02
total_raster = os.path.join(os.path.dirname(outRaster),
os.path.basename(outRaster) + "Kr")
arcpy.CheckOutExtension("GeoStats")
arcpy.Kriging_3d(inPointFeatures, zField, total_raster, kModel, cellSize)
outExtractByMask = ExtractByMask(total_raster, in_Mask)
arcpy.Delete_management(total_raster)
outExtractByMask.save(outRaster)
arcpy.BuildPyramids_management(outRaster)
def conversion(outRaster,raster):
# 按掩膜提取
outExtractByMask=None
# 常熟市溯源范围矢量文件
inMaskData="F:\\20190905\\data\\changshurangle\\changshutrace.shp"
# 中间文件
inPointFeatures=outpath+"\\"+os.path.split(raster)[1][:-4]+'_'+getTime()+'.shp'
try:
# Execute ExtractByMask
outExtractByMask = arcpy.sa.ExtractByMask(outRaster, inMaskData)
except Exception as err:
arcpy.AddMessage("------ExtractByMask Failed")
arcpy.AddMessage(err)
return
# 重采样
# resampletif=outpath+"\\"+os.path.split(raster)[1][:-4]+'_resampletif_'+getTime()+'.tif'
# arcpy.Resample_management(outExtractByMask, resampletif, "0.0005", "BILINEAR")
arcpy.AddMessage("------栅格转点开始。。。")
try:
arcpy.RasterToPoint_conversion(outExtractByMask, inPointFeatures, 'VALUE')
except :
arcpy.AddMessage('-------'+inPointFeatures+" 已经存在。。。")
arcpy.AddMessage("------栅格转点完成")
# 克里金插值
titfile=os.path.join(outpath,os.path.split(raster)[1][:-4]+".tif")
field = "GRID_CODE"
cellSize =0.0005
outVarRaster = ""
kModel = "Spherical"
kRadius = 20000
# Execute Kriging
try:
arcpy.Kriging_3d(inPointFeatures, field, titfile, kModel, cellSize, kRadius, outVarRaster)
except :
Arcpy.AddMessage('------RasterToPoint_conversion Failed')
arcpy.AddMessage("------栅格转点开始。。。")
outPointFeatures=outpath+"\\"+os.path.split(raster)[1][:-4]+'.shp'
try:
arcpy.RasterToPoint_conversion(titfile, outPointFeatures, 'VALUE')
except :
arcpy.AddMessage('-------'+inPointFeatures+" 已经存在。。。")
arcpy.AddMessage("------栅格转点完成")
selectByLocatin(outPointFeatures)
def publishdayRasters():
myname = 'publishdayRasters'
defaultworkspace = r'C:\TrabajoFinalMasterESRI\Data\DF_Worskpace'
rasterDefaultfolder = r'C:\TrabajoFinalMasterESRI\Data\Rasters'
#creamos la carpeta de los rasters del dia
now = datetime.now()
dayfolder = now.strftime("%d%m%Y")
rasterDefaultfolder = os.path.join(rasterDefaultfolder, dayfolder)
if not os.path.isdir(rasterDefaultfolder):
os.mkdir(rasterDefaultfolder)
# Set environment settings
env.workspace = defaultworkspace
env.overwriteOutput = True
# Check out the ArcGIS Spatial Analyst extension license
arcpy.CheckOutExtension("Spatial")
arcpy.CheckOutExtension("3D")
listfields = ["B1", "B2", "B3", "W1", "W2", "M1"]
for fieldname in listfields:
try:
logging.debug('----->' + myname)
# Set local variables
inFeatures = "Database Connections\[email protected]\canyons.owner.MeteoPoints"
cellSize = 15000
power = 2
searchRadius = RadiusVariable(12)
#sitios de salida de los rasters.
outVarRaster = os.path.join(rasterDefaultfolder,
fieldname + '_' + dayfolder)
dbraster = "Database Connections\[email protected]\canyons.owner." + fieldname
kModel = "CIRCULAR"
cellSize = 15000
kRadius = 20000
# Execute Kriging
arcpy.Kriging_3d(inFeatures, fieldname, outVarRaster, kModel,
cellSize, kRadius)
#Pendiente de validar
clip_features = "Database Connections\[email protected]\canyons.owner.Admin\canyons.owner.pais"
#aqui harIamos el clip
rectangle = extents(clip_features)
arcpy.Clip_management(
in_raster=outVarRaster,
rectangle=rectangle,
out_raster=dbraster,
in_template_dataset=clip_features,
clipping_geometry="ClippingGeometry",
maintain_clipping_extent="NO_MAINTAIN_EXTENT")
#Construimos las piramides de los rastsers
arcpy.BatchBuildPyramids_management(dbraster)
logging.debug('<-----' + myname)
except Exception as e:
logging.error('Error ejecutando ' + myname)
logging.error('El raster que ha dado problemas es el ' + fieldname)
arcpy.CreateRasterDataset_management(
out_path="Database Connections/[email protected]",
out_name="B1",
cellsize="",
pixel_type="8_BIT_UNSIGNED",
raster_spatial_reference=
"PROJCS['ETRS_1989_UTM_Zone_30N',GEOGCS['GCS_ETRS_1989',DATUM['D_ETRS_1989',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-3.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]]",
number_of_bands="1",
config_keyword="",
pyramids="PYRAMIDS -1 NEAREST DEFAULT 75 NO_SKIP",
tile_size="128 128",
compression="LZ77",
pyramid_origin="-5120763,26772284 9997963,94293634")
logging.error(e.message)
logging.debug(
'Todos los rasters de los campos se han creado correctamente')
arcpy.AddMessage("Applying Symbology...")
mxd = arcpy.mapping.MapDocument("CURRENT")
df = arcpy.mapping.ListDataFrames(mxd, "*")[0]
newlayer = arcpy.mapping.Layer(pointsVar)
arcpy.mapping.AddLayer(df, newlayer, "TOP")
if arcpy.Exists(SymbologyPath + r"\Symbology_Template.lyr"):
symbolLyr = SymbologyPath + r"\Symbology_Template.lyr" #Layer file with desired symbology
lyr = arcpy.mapping.ListLayers(mxd, outName, df)[0]
arcpy.ApplySymbologyFromLayer_management(lyr, symbolLyr) #Apply symbology
else:
arcpy.AddMessage(
"Symbology cannot be applied, Missing Symbology_Template.lyr")
#and now we Kriging
# Set environment settings
env.workspace = csvPath
# Set local variables
#inFeatures = "ca_ozone_pts.shp"
field = "OZONE"
#outRaster = "C:/output/krigoutput02"
cellSize = 2000
#outVarRaster = "C:/output/outvariance"
kModel = "Spherical"
kRadius = 20000
# Execute Kriging
#arcpy.Kriging_3d(inFeatures, field, outRaster, kModel, cellSize, kRadius, outVarRaster)
arcpy.Kriging_3d(pointsVar, "Cri_Weight", outfile + '\\' + "Krigout", kModel,
'', '', outfile + '\\' + "outVar")
inMaskData = mask_path + "newstates" + ".shp"
arcpy.CheckOutExtension("Spatial")
outExtractByMask = ExtractByMask(inRaster, inMaskData)
outExtractByMask.save(out_path + "allIDW" + str(year))
arcpy.Delete_management(out_raster)
print "states " + str(year)
#Build pyramid from raster
inras = out_path + "allIDW" + str(year)
arcpy.BuildPyramids_management(inras)
print "Build pyramid" + str(year)
# Execute Kriging of all monitoring sites
outRaster = out_path + "kr" + str(year)
kModel = "CIRCULAR"
arcpy.Kriging_3d(inPointFeatures, zField, outRaster, kModel, cellSize)
#Extract by mask the whole states
inRaster = out_path + "kr" + str(year)
inMaskData = mask_path + "newstates" + ".shp"
arcpy.CheckOutExtension("Spatial")
outExtractByMask = ExtractByMask(inRaster, inMaskData)
outExtractByMask.save(out_path + "krig" + str(year))
arcpy.Delete_management(outRaster)
print "states " + str(year)
#Build pyramid from raster
inras = out_path + "krig" + str(year)
arcpy.BuildPyramids_management(inras)
print "Build pyramid" + str(year)
for j in range(0, nrows):
gross_Q = data_all.cell_value(
j, 3) * 100 #..............最高低气温列数修改，刘可群*100
list.append(gross_Q)
for row in cursor:
l_List = list[(row[0] - 1)]
row[1] = l_List
#print row
cursor.updateRow(row)
# 执行克里金插值,prcp用try
'''try:
arcpy.env.extent = arcpy.Extent(376995.788286, 4835618.63483, 1393995.78829, 5934618.63483)
arcpy.Kriging_3d(i_shp_path, "radi", o_interpolation_path, "Spherical", 1000, "number_of_points")
except:
print ("data in %s are all zero" % i_path)'''
arcpy.env.extent = arcpy.Extent(376995.788286, 4835618.63483,
1393995.78829, 5934618.63483)
arcpy.Kriging_3d(i_shp_path, "radi", o_interpolation_path, "Spherical",
1000, "number_of_points")
# 裁剪
'''try:
arcpy.Clip_management(o_interpolation_path, "377015.416108 4836032.834218 1393317.266188 5934372.606657", o_dat_path, "D:/1/my boundary/heilongjiang_123.shp", "", "ClippingGeometry")
except:
print ("cannot excute interpolation becasue of bad dataset prcp_%d" % doy)'''
arcpy.Clip_management(
o_interpolation_path,
"377015.416108 4836032.834218 1393317.266188 5934372.606657",
o_dat_path, "D:/1/my boundary/heilongjiang_123.shp", 0,
"ClippingGeometry")
#Check out the ArcGIS Spatial Anapyst extension license
arcpy.CheckOutExtension("Spatial")
#Setting initial
env.workspace = "C:\Users\hero\Desktop\workspace\geodata.gdb"
fcList = arcpy.ListFeatureClasses()
for fc in fcList:
print(fc)
fieldList = arcpy.ListFields(env.workspace + "\\" + fc)
print (env.workspace + "\\" + fc)
for field in fieldList:
if (field.type == u"Double"):
print(field.name)
inFeatures = fc
print(inFeatures)
#Output settings
outRaster = env.workspace + "\\" + "KRe_" + field.name + fc
outVarRaster = env.workspace + "\\" + "KVar_" + field.name + fc
print (outRaster)
print (outVarRaster)
#Model setting
kModel = "Gaussian"
# Execute Kriging
arcpy.Kriging_3d(inFeatures, field.name
, outRaster, kModel, out_variance_prediction_raster = outVarRaster)
print(field.name + "success")
def adf(fields):
for field in fields:
for i in range(24):
names.append(field+str(i+1))
adf(['temp','pre','hum','wsp'])
#set environment mask
env.mask = 'C:/workspace/shps/北京边界.shp'
for i in range(1,3):
day_count = i
in_table = os.path.join(out_path,'day%d.shp'%(day_count))
arcpy.DefineProjection_management(in_table, spRef)
out_lyr = 'pp_day%d'%(day_count)
arcpy.MakeXYEventLayer_management(in_table, 'long', 'lat', out_lyr, spRef)
inFeatures = out_lyr
for name in names:
field = name
out_raster = "r1_day%d_%s"%(day_count,name)
kModel = 'Spherical'
cell_size = 0.003758
search_radius = 0.006418
out_var = "v1_day%d_%s"%(day_count,name)
# Execute Kriging
try:
arcpy.Kriging_3d(inFeatures, field, out_raster, kModel,
cell_size, search_radius, out_var)
print("success:day %d -- field %s"%(day_count,name))
except:
print("failed:day %d -- field %s"%(day_count,name))
