def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
fp_layer = self.inputs[2].value
# merge with zone to get assignment
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
analyzer = QgsOverlayAnalyzer()
try:
analyzer.intersection(fp_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile_verify(tmp_join_file, tmp_join,[zone_field])
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
fields = {
0 : QgsField(self._lon_field, QVariant.Double),
1 : QgsField(self._lat_field, QVariant.Double),
2 : QgsField(zone_field, QVariant.String),
}
zone_idx = layer_field_index(tmp_join_layer, zone_field)
fp_layername = 'fpc_%s' % get_unique_filename()
fp_file = '%s%s.shp' % (self._tmp_dir, fp_layername)
try:
writer = QgsVectorFileWriter(fp_file, "utf-8", fields, QGis.WKBPoint, self._crs, "ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(tmp_join_layer):
centroid = _f.geometry().centroid().asPoint()
lon = centroid.x()
lat = centroid.y()
zone_str = str(_f.attributeMap()[zone_idx].toString()).upper()
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
f.addAttribute(0, QVariant(lon))
f.addAttribute(1, QVariant(lat))
f.addAttribute(2, QVariant(zone_str))
writer.addFeature(f)
del writer
except Exception as err:
logAPICall.log(err, logAPICall.ERROR)
remove_shapefile(fp_file)
raise OperatorError("error creating joined grid: %s" % err, self.__class__)
# load shapefile as layer
fp_layer = load_shapefile(fp_file, fp_layername)
if not fp_layer:
raise OperatorError('Error loading footprint centroid file' % (fp_file), self.__class__)
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
self.outputs[0].value = fp_layer
self.outputs[1].value = fp_file
def intersect_shapefiles(shape1, shape2, output_path):
"""
Intersect two shapefiles and wirte the result to disk
:param shape1: First shapefile
:type shape1: QgsVectorLayer
:param shape2: Second shapefile
:type shape2: QgsVectorLayer
:param output_path: The place where the intersection shall be stored
:type output_path: str
:return: If the layers were intersected successfully
:rtype: bool
"""
try:
if shape1.isValid() and shape2.isValid():
analyser = QgsOverlayAnalyzer()
#progress = QProgressDialog()
#info = QLabel('Intersecting floor plan with investigation layer.\nThis may take up to 30 seconds.')
#progress.setLabel(info)
#progress.setMinimum(0)
#progress.setMaximum(100)
return analyser.intersection(shape1, shape2, output_path) #p=progress)
except AttributeError, Error:
print(Error)
return False
def do_operation(self):
""" perform create mapping scheme operation """
# validate inputs
fp_layer = self.inputs[0].value
zone_layer = self.inputs[1].value
zone_field = self.inputs[2].value
count_field = self.inputs[3].value
area_field = self.inputs[4].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(fp_layer)
self._test_layer_loaded(zone_layer)
self._test_layer_field_exists(zone_layer, GID_FIELD_NAME)
self._test_layer_field_exists(zone_layer, zone_field)
# count_field is not required
# if count field is not defined, then generate building count from footprints
# area_field is not required
# local variables
analyzer = QgsOverlayAnalyzer()
area_idx = ToGrid.STAT_AREA_IDX
cnt_idx = ToGrid.STAT_COUNT_IDX
zone_names, zone_stat, zone_stat2, zone_totals = {}, {}, {}, {}
# 1. find building count and total area for each zone
# project geometry into mercator and get area in m2
mercator_crs = QgsCoordinateReferenceSystem()
mercator_crs.createFromEpsg(3395)
mercator_transform = QgsCoordinateTransform(zone_layer.crs(), mercator_crs)
try:
# use zone geometry area
self._create_zone_statistics(zone_layer, zone_field, count_field, zone_stat, zone_names)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# 2. create grids around extent of zone
tmp_grid1 = "grid_" + get_unique_filename()
tmp_grid1_file = self._tmp_dir + tmp_grid1 + ".shp"
extent = zone_layer.extent()
[x_min, y_min, x_max, y_max] = [extent.xMinimum(), extent.yMinimum(), extent.xMaximum(), extent.yMaximum()]
tmp_grid_lyr1 = self._create_grid(
tmp_grid1, tmp_grid1_file, x_min, y_min, x_max, y_max, DEFAULT_GRID_SIZE, DEFAULT_GRID_SIZE
)
# tally total building area if there is defined
bldg_area_idx = layer_field_index(zone_layer, area_field)
zone_area = {}
zone_has_area = False
if bldg_area_idx > 0:
zone_has_area = True
zone_gid_idx = layer_field_index(zone_layer, GID_FIELD_NAME)
for _f in layer_features(zone_layer):
gid = _f.attributeMap()[zone_gid_idx].toString()
area = _f.attributeMap()[bldg_area_idx].toDouble()[0]
if zone_area.has_key(gid):
zone_area[gid] = str(float(zone_area[gid])) + area
else:
zone_area[gid] = area
# 3. intersect grids and zones to obtain polygons with
# - grid_id and zone_id
# - ratio of grid covered by zone (polygon area / zone area)
# apply ratio to zone building count to obtain count assigned to polygon
tmp_join = "joined_%s" % get_unique_filename()
tmp_join_file = "%s%s.shp" % (self._tmp_dir, tmp_join)
try:
# do intersection
analyzer.intersection(tmp_grid_lyr1, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# do tally
zone_gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME)
grid_gid_idx = layer_field_index(tmp_join_layer, "GRID_GID")
bldg_cnt_idx = layer_field_index(tmp_join_layer, count_field)
for _f in layer_features(tmp_join_layer):
geom = _f.geometry()
geom.transform(mercator_transform)
area = geom.area()
# generate all stats of interest
zone_gid = _f.attributeMap()[zone_gid_idx].toString()
grid_gid = _f.attributeMap()[grid_gid_idx].toString()
stat = zone_stat[zone_gid]
# calculate count/area as proportion of total zone area
area_ratio = area / stat[area_idx]
if bldg_cnt_idx > 0:
bldg_cnt = _f.attributeMap()[bldg_cnt_idx].toDouble()[0] * area_ratio
else:
bldg_cnt = 0
if zone_has_area:
area = zone_area[zone_gid] * area_ratio
else:
area = stat[area_idx] * area_ratio
self._update_stat(zone_stat2, "%s|%s" % (grid_gid, zone_gid), bldg_cnt, area)
# 4. find total buildings in each zone based on footprint
# - simply join the files and tally count and total area
tmp_join1 = "joined_%s" % get_unique_filename()
tmp_join1_file = "%s%s.shp" % (self._tmp_dir, tmp_join1)
try:
# do intersection
analyzer.intersection(fp_layer, tmp_join_layer, tmp_join1_file)
tmp_join1_layer = load_shapefile(tmp_join1_file, tmp_join1)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# do tally
zone_fp_stat = {}
zone_gid_idx = layer_field_index(tmp_join1_layer, "%s_" % GID_FIELD_NAME)
grid_gid_idx = layer_field_index(tmp_join1_layer, "GRID_GID")
fp_area_idx = layer_field_index(tmp_join1_layer, AREA_FIELD_NAME)
fp_ht_idx = layer_field_index(tmp_join1_layer, HT_FIELD_NAME)
fp_has_height = False
for _f in layer_features(tmp_join1_layer):
zone_gid = _f.attributeMap()[zone_gid_idx].toString()
grid_gid = _f.attributeMap()[grid_gid_idx].toString()
area = _f.attributeMap()[fp_area_idx].toDouble()[0] # area comes from geometry, always exists
ht = _f.attributeMap()[fp_ht_idx].toDouble()[0]
if ht > 0:
fp_has_height = True
area *= ht # this is actual area to be aggregated at the end
self._update_stat(zone_fp_stat, "%s|%s" % (grid_gid, zone_gid), 1, area)
self._update_stat(zone_totals, zone_gid, 1, area)
# 5. generate grid with adjusted building counts
fields = {
0: QgsField(GID_FIELD_NAME, QVariant.String),
1: QgsField(zone_field, QVariant.String),
2: QgsField(CNT_FIELD_NAME, QVariant.Double),
3: QgsField(AREA_FIELD_NAME, QVariant.Double),
}
output_layername = "grid_%s" % get_unique_filename()
output_file = "%s%s.shp" % (self._tmp_dir, output_layername)
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
for key in zone_stat2.keys():
(grid_gid, zone_gid) = str(key).split("|")
s_zone = zone_stat[QString(zone_gid)] # overall statistics for the zone from zone file (always exists)
s_zone_grid = zone_stat2[key] # grid specific statistic from from zone file (always exists)
if zone_totals.has_key(QString(zone_gid)): # overall statistics for the zone from footprints
s_total = zone_totals[QString(zone_gid)]
else:
s_total = [0, 0] # set to zero if missing
if zone_fp_stat.has_key(key): # grid specific statistic from from footprint
s_fp = zone_fp_stat[key]
else:
s_fp = [0, 0] # set to zero if missing
zone_leftover_count = s_zone[cnt_idx] - s_total[cnt_idx]
if zone_has_area:
zone_leftover_area = zone_area[QString(zone_gid)] - s_total[area_idx]
else:
zone_leftover_area = s_zone[area_idx] - s_total[area_idx]
if zone_leftover_count > 0:
# there are still building not accounted for
# distribute to grid based on ratio of grid leftover area over zone leftover area
# (leftover area is area of zone after subtracting footprint areas
grid_leftover_count = zone_leftover_count * (
(s_zone_grid[area_idx] - s_fp[area_idx]) / zone_leftover_area
)
grid_count = s_fp[cnt_idx] + grid_leftover_count
else:
grid_count = s_fp[cnt_idx]
if fp_has_height:
# area can be actual area based on footprint area * height
area = s_fp[area_idx]
elif zone_has_area:
area = s_zone_grid[area_idx]
else:
# no area defined
area = 0 # max(s_zone_grid[area_idx], s_fp[area_idx])
f.setGeometry(self._outputGeometryFromGridId(grid_gid))
f.addAttribute(0, grid_gid)
f.addAttribute(1, zone_names[QString(zone_gid)])
f.addAttribute(2, grid_count)
f.addAttribute(3, area)
writer.addFeature(f)
del writer
# clean up
del tmp_grid_lyr1
del tmp_join_layer
del tmp_join1_layer
remove_shapefile(tmp_grid1_file)
remove_shapefile(tmp_join_file)
remove_shapefile(tmp_join1_file)
# store data in output
self._load_output(output_file, output_layername)
def do_operation(self):
""" perform create mappin """
# validate inputs
popgrid_layer = self.inputs[0].value
zone_layer = self.inputs[1].value
zone_field = self.inputs[2].value
pop_to_bldg = float(self.inputs[3].value)
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(popgrid_layer)
self._test_layer_field_exists(popgrid_layer, CNT_FIELD_NAME)
self._test_layer_loaded(zone_layer)
self._test_layer_field_exists(zone_layer, zone_field)
# count_field is not required
# if count field is not defined, then generate building count from footprints
# local variables
analyzer = QgsOverlayAnalyzer()
# intersect grids and zones to obtain polygons with
# - population and zone_id
# - apply ratio to population to obtain building count
tmp_join = "joined_%s" % get_unique_filename()
tmp_join_file = "%s%s.shp" % (self._tmp_dir, tmp_join)
try:
# do intersection
analyzer.intersection(popgrid_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# generate grid with building counts
fields = {
0: QgsField(GID_FIELD_NAME, QVariant.String),
1: QgsField(zone_field, QVariant.String),
2: QgsField(CNT_FIELD_NAME, QVariant.Double),
}
output_layername = "grid_%s" % get_unique_filename()
output_file = "%s%s.shp" % (self._tmp_dir, output_layername)
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
pop_idx = layer_field_index(tmp_join_layer, CNT_FIELD_NAME)
zone_idx = layer_field_index(tmp_join_layer, zone_field)
for _f in layer_features(tmp_join_layer):
pop_count = _f.attributeMap()[pop_idx].toDouble()[0]
zone = _f.attributeMap()[zone_idx].toString()
# 1. get geometry
geom = _f.geometry()
# 2. get original centroid point and project is required
centroid = geom.centroid().asPoint()
grid_gid = latlon_to_grid(centroid.y(), centroid.x())
f.setGeometry(self._outputGeometryFromGridId(grid_gid))
f.addAttribute(0, grid_gid)
f.addAttribute(1, zone)
f.addAttribute(2, pop_count / pop_to_bldg)
writer.addFeature(f)
del writer
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
# store data in output
self._load_output(output_file, output_layername)
def do_operation(self):
# input/output verification not performed yet
fp_layer = self.inputs[0].value
area_field = self.inputs[1].value
ht_field = self.inputs[2].value
zone_layer = self.inputs[3].value
zone_field = self.inputs[4].value
svy_layer = self.inputs[5].value
# make sure required data fields are populated
area_idx = layer_field_index(fp_layer, area_field)
if area_idx == -1:
raise OperatorError(
"Field %s does not exist in %s" %
(area_field, fp_layer.name()), self.__class__)
ht_idx = layer_field_index(fp_layer, ht_field)
if ht_idx == -1:
raise OperatorError(
"Field %s does not exist in %s" % (ht_field, fp_layer.name()),
self.__class__)
zone_idx = layer_field_index(zone_layer, zone_field)
if zone_idx == -1:
raise OperatorError(
"Field %s does not exist in %s" %
(zone_field, zone_layer.name()), self.__class__)
svy_samp_idx = layer_field_index(svy_layer, GRP_FIELD_NAME)
if svy_samp_idx == -1:
raise OperatorError(
"Field %s does not exist in %s" %
(GRP_FIELD_NAME, svy_layer.name()), self.__class__)
svy_ht_idx = layer_field_index(svy_layer, HT_FIELD_NAME)
if svy_ht_idx == -1:
raise OperatorError(
"Field %s does not exist in %s" %
(HT_FIELD_NAME, svy_layer.name()), self.__class__)
svy_size_idx = layer_field_index(svy_layer, AREA_FIELD_NAME)
if svy_size_idx == -1:
raise OperatorError("Field %s does not exist in %s" %
(AREA_FIELD_NAME, svy_layer.name()))
tax_idx = layer_field_index(svy_layer, TAX_FIELD_NAME)
if tax_idx == -1:
raise OperatorError("Field %s does not exist in %s" %
(TAX_FIELD_NAME, svy_layer.name()))
# load zone classes
# the operations below must be performed for each zone
try:
zone_classes = layer_field_stats(zone_layer, zone_field)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
# join survey with zones
logAPICall.log('merge survey & zone', logAPICall.DEBUG)
tmp_join_layername = 'join_%s' % get_unique_filename()
tmp_join_file = self._tmp_dir + tmp_join_layername + '.shp'
analyzer = QgsOverlayAnalyzer()
analyzer.intersection(svy_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join_layername)
logAPICall.log('compile zone statistics', logAPICall.DEBUG)
zone_idx = layer_field_index(tmp_join_layer, zone_field)
svy_samp_idx = layer_field_index(tmp_join_layer, GRP_FIELD_NAME)
svy_ht_idx = layer_field_index(tmp_join_layer, HT_FIELD_NAME)
svy_size_idx = layer_field_index(tmp_join_layer, AREA_FIELD_NAME)
if svy_size_idx == -1:
raise OperatorError("Field %s does not exist in %s" %
(AREA_FIELD_NAME, svy_layer.name()))
tax_idx = layer_field_index(tmp_join_layer, TAX_FIELD_NAME)
if tax_idx == -1:
raise OperatorError("Field %s does not exist in %s" %
(TAX_FIELD_NAME, svy_layer.name()))
# empty fields for holding the stats
_zone_n_exp, _zone_p_exp, _zone_a_exp, _zone_e_exp = {}, {}, {}, {}
_zone_group_counts, _zone_group_stories, _zone_group_weight = {}, {}, {}
_zone_total_area, _zone_total_count, _zone_total_ht = {}, {}, {}
for _zone in zone_classes.iterkeys():
_zone_n_exp[_zone] = {}
_zone_p_exp[_zone] = {}
_zone_a_exp[_zone] = {}
_zone_e_exp[_zone] = {}
_zone_group_counts[_zone] = {}
_zone_group_stories[_zone] = {}
_zone_group_weight[_zone] = {}
_zone_total_area[_zone] = 0
_zone_total_count[_zone] = 0
_zone_total_ht[_zone] = 0
# associate group to ratio value
for _rec in layer_features(tmp_join_layer):
_ht = _rec.attributeMap()[svy_ht_idx].toInt()[0]
_samp_grp = str(_rec.attributeMap()[svy_samp_idx].toString())
_tax_str = str(_rec.attributeMap()[tax_idx].toString())
try:
self._taxonomy.parse(_tax_str)
self.increment_dict(_zone_group_counts[_zone], _samp_grp, 1)
self.increment_dict(_zone_group_stories[_zone], _samp_grp, _ht)
except Exception as err:
logAPICall.log("Error processing record %s" % err,
logAPICall.WARNING)
for _zone in zone_classes.iterkeys():
if len(_zone_group_counts[_zone]) != 3:
raise OperatorError("Survey must have 3 sampling groups",
self.__class__)
cmp_value = -1
for _grp, _count in _zone_group_counts[_zone].iteritems():
if cmp_value == -1:
cmp_value = _count
if cmp_value != _count:
raise OperatorError(
"Survey groups must have same number of samples",
self.__class__)
# sort by stories
group_stories_for_sort = {}
for _grp, _ht in _zone_group_stories[_zone].iteritems():
group_stories_for_sort[_ht] = _grp
sorted_keys = group_stories_for_sort.keys()
sorted_keys.sort()
# assign group to weight
for idx, key in enumerate(sorted_keys):
_zone_group_weight[_zone][
group_stories_for_sort[key]] = self.weights[idx]
# aggregate values from survey for each building type
# - count (n)
# - floor area (p)
# - total area (a)
for _f in layer_features(tmp_join_layer):
_zone_str = str(_f.attributeMap()[zone_idx].toString())
_tax_str = str(_f.attributeMap()[tax_idx].toString())
_sample_grp = str(_f.attributeMap()[svy_samp_idx].toString())
_sample_size = _f.attributeMap()[svy_size_idx].toDouble()[0]
_sample_ht = _f.attributeMap()[svy_size_idx].toDouble()[0]
group_weight = _zone_group_weight[_zone]
try:
self._taxonomy.parse(_tax_str)
self.increment_dict(_zone_n_exp[_zone_str], _tax_str,
group_weight[_sample_grp])
self.increment_dict(_zone_p_exp[_zone_str], _tax_str,
_sample_size * group_weight[_sample_grp])
self.increment_dict(
_zone_a_exp[_zone_str], _tax_str,
_sample_size * _ht * group_weight[_sample_grp])
self.increment_dict(_zone_e_exp[_zone_str], _tax_str, 0)
except Exception as err:
logAPICall.log(
"error processing sample with building type: %s" %
_tax_str, logAPICall.WARNING)
pass
# adjust ratio using footprint ht/area
tmp_join_layername2 = 'join_%s' % get_unique_filename()
tmp_join_file2 = self._tmp_dir + tmp_join_layername2 + '.shp'
analyzer = QgsOverlayAnalyzer()
analyzer.intersection(fp_layer, zone_layer, tmp_join_file2)
tmp_join_layer2 = load_shapefile(tmp_join_file2, tmp_join_layername)
zone_idx = layer_field_index(tmp_join_layer2, zone_field)
area_idx = layer_field_index(tmp_join_layer2, area_field)
ht_idx = layer_field_index(tmp_join_layer2, ht_field)
for _f in layer_features(tmp_join_layer2):
_zone_str = str(_f.attributeMap()[zone_idx].toString())
_area = _f.attributeMap()[area_idx].toDouble()[0]
_ht = _f.attributeMap()[ht_idx].toDouble()[0]
_zone_total_area[_zone_str] += _area
_zone_total_count[_zone_str] += 1
_zone_total_ht[_zone_str] += _ht
# calculate building ratios for each zone
for _zone in zone_classes.iterkeys():
# for total count (n) and area (a)
e_nt_cluster_total = sum(_zone_n_exp[_zone].itervalues())
e_at_cluster_total = sum(_zone_a_exp[_zone].itervalues())
# E[A] estimated total building area for zone
e_at_total = _zone_total_area[_zone] * _zone_total_ht[
_zone] / _zone_total_count[_zone]
# calculate expected values
for t, e_at_cluster in _zone_a_exp[_zone].iteritems():
e_nt_cluster = _zone_n_exp[_zone][t]
if e_at_cluster == 0 or e_at_total == 0:
# area is missing, use count instead
_zone_e_exp[_zone][t] = e_nt_cluster / e_nt_cluster_total
_zone_a_exp[_zone][t] = 0
else:
# use ratio of area over total area
# E[f(t)] building fraction based on sampled area
e_ft_cluster = e_at_cluster / e_at_cluster_total
# E[G(t)] average area per building
e_gt_cluster = e_at_cluster / e_nt_cluster
# E[A(t)] estimated total building area for zone for building type
e_at = e_at_total * e_ft_cluster
# E[N(t)] estimated total number of buildings zone-wide by type
e_nt = e_at / e_gt_cluster
_zone_e_exp[_zone][t] = e_nt
_zone_a_exp[_zone][t] = e_ft_cluster
# convert the building ratios
logAPICall.log('create mapping scheme for zones', logAPICall.DEBUG)
ms = MappingScheme(self._taxonomy)
for _zone in zone_classes.iterkeys():
# create mapping scheme for zone
stats = Statistics(self._taxonomy)
# use building ratio to create statistic
for _tax_str, _e_exp in _zone_e_exp[_zone].iteritems():
stats.add_case(_tax_str,
self._parse_order,
self._parse_modifiers,
add_times=int(_e_exp * 1000))
# finalize call is required
stats.finalize()
ms.assign(MappingSchemeZone(_zone), stats)
# clean up
del tmp_join_layer, analyzer
remove_shapefile(tmp_join_file)
# assign output
self.outputs[0].value = ms
self.outputs[1].value = _zone_a_exp
def do_operation(self):
# validate inputs
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
count_field = self.inputs[2].value
area_field = self.inputs[3].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(zone_layer)
self._test_layer_field_exists(zone_layer, GID_FIELD_NAME)
self._test_layer_field_exists(zone_layer, zone_field)
self._test_layer_field_exists(zone_layer, count_field)
# local variables
analyzer = QgsOverlayAnalyzer()
area_idx = ToGrid.STAT_AREA_IDX
# cnt_idx = ToGrid.STAT_COUNT_IDX
# 1. find building count and total area for each zone
zone_names, zone_stat = {}, {}
try:
self._create_zone_statistics(zone_layer, zone_field, count_field, zone_stat, zone_names)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# 2. create grids around extent of zone
tmp_grid1 = "grid_" + get_unique_filename()
tmp_grid1_file = self._tmp_dir + tmp_grid1 + ".shp"
try:
extent = zone_layer.extent()
[x_min, y_min, x_max, y_max] = [extent.xMinimum(), extent.yMinimum(), extent.xMaximum(), extent.yMaximum()]
tmp_grid_lyr1 = self._create_grid(
tmp_grid1, tmp_grid1_file, x_min, y_min, x_max, y_max, DEFAULT_GRID_SIZE, DEFAULT_GRID_SIZE
)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# 3. intersect grids and zones to obtain polygons with
# - grid_id and zone_id
# - ratio of grid covered by zone (polygon area / zone area)
# apply ratio to zone building count to obtain count assigned to polygon
tmp_join = "joined_%s" % get_unique_filename()
tmp_join_file = "%s%s.shp" % (self._tmp_dir, tmp_join)
try:
# do intersection
analyzer.intersection(tmp_grid_lyr1, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# do tally
zone_gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME)
grid_gid_idx = layer_field_index(tmp_join_layer, "GRID_GID")
bldg_cnt_idx = layer_field_index(tmp_join_layer, count_field)
bldg_area_idx = layer_field_index(tmp_join_layer, area_field)
mercator_transform = QgsCoordinateTransform(tmp_join_layer.crs(), self.mercator_crs)
fields = {
0: QgsField(GID_FIELD_NAME, QVariant.String),
1: QgsField(zone_field, QVariant.String),
2: QgsField(CNT_FIELD_NAME, QVariant.Double),
3: QgsField(AREA_FIELD_NAME, QVariant.Double),
}
output_layername = "grid_%s" % get_unique_filename()
output_file = "%s%s.shp" % (self._tmp_dir, output_layername)
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(tmp_join_layer):
# get area of polygon
geom = _f.geometry()
geom.transform(mercator_transform)
area = geom.area()
# generate all stats of interest
zone_gid = _f.attributeMap()[zone_gid_idx].toString()
grid_gid = _f.attributeMap()[grid_gid_idx].toString()
stat = zone_stat[zone_gid]
# calculate count/area as proportion of total zone area
bldg_cnt = _f.attributeMap()[bldg_cnt_idx].toDouble()[0] * (area / stat[area_idx])
if bldg_area_idx > 0:
bldg_area = _f.attributeMap()[bldg_area_idx].toDouble()[0] * (area / stat[area_idx])
else:
bldg_area = 0
# create output record
f.setGeometry(self._outputGeometryFromGridId(grid_gid))
f.addAttribute(0, grid_gid)
f.addAttribute(1, zone_names[QString(zone_gid)])
f.addAttribute(2, bldg_cnt)
f.addAttribute(3, bldg_area)
writer.addFeature(f)
del writer
# clean up
del tmp_grid_lyr1
del tmp_join_layer
remove_shapefile(tmp_grid1_file)
remove_shapefile(tmp_join_file)
# store data in output
self._load_output(output_file, output_layername)
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
count_field = self.inputs[2].value
grid_layer = self.inputs[3].value
zone_stats = {}
zone_count_stats = {}
gid_idx = layer_field_index(zone_layer, self._gid_field)
count_idx = layer_field_index(zone_layer, count_field)
for _f in layer_features(zone_layer):
gid = _f.attributeMap()[gid_idx].toString()
zone_stats[gid] = 0
zone_count_stats[gid] = _f.attributeMap()[count_idx].toDouble()[0]
# create storage for temporary output data
use_grid_db = grid_layer.dataProvider().featureCount() > MAX_FEATURES_IN_MEMORY
if False:
tmp_grid_db_file = '%sdb_%s.db' % (self._tmp_dir, get_unique_filename())
grid_points = bsddb.btopen(tmp_grid_db_file, 'c')
else:
grid_points = {}
# merge to create stats
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
analyzer = QgsOverlayAnalyzer()
try:
analyzer.intersection(grid_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile_verify(tmp_join_file, tmp_join,[zone_field, count_field])
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
stats = layer_multifields_stats(tmp_join_layer, [zone_field, count_field])
if stats == False:
raise OperatorError("error creating statistic based on input files",
self.__class__)
zone_idx = layer_field_index(tmp_join_layer, zone_field)
count_idx = layer_field_index(tmp_join_layer, count_field)
lon_idx = layer_field_index(tmp_join_layer, self._lon_field)
lat_idx = layer_field_index(tmp_join_layer, self._lat_field)
gid_idx = layer_field_index(tmp_join_layer, self._gid_field)
try:
for _f in layer_features(tmp_join_layer):
lon = _f.attributeMap()[lon_idx].toDouble()[0]
lat = _f.attributeMap()[lat_idx].toDouble()[0]
zone_str = str(_f.attributeMap()[zone_idx].toString()).upper()
count_val = _f.attributeMap()[count_idx].toDouble()[0]
gid = _f.attributeMap()[gid_idx].toString()
# update stats
zone_stats[gid] += 1
grid_points[self._make_key(zone_str, gid, lon, lat)] = 1
except Exception as err:
raise OperatorError("error processing joined layer: " % err, self.__class__)
# test for zones without a grid point assigned
count_idx = layer_field_index(zone_layer, count_field)
gid_idx = layer_field_index(zone_layer, self._gid_field)
zone_idx = layer_field_index(zone_layer, zone_field)
_x_off, _y_off = self._x_off / 2.0, self._y_off / 2.0
try:
for _f in layer_features(zone_layer):
centroid = _f.geometry().centroid().asPoint()
zone_str = str(_f.attributeMap()[zone_idx].toString()).upper()
count_val = _f.attributeMap()[count_idx].toDouble()[0]
gid = _f.attributeMap()[gid_idx].toString()
if zone_stats[gid] == 0:
# get lower left corner
lon = int(centroid.x()/DEFAULT_GRID_SIZE)*self._x_off + _x_off
lat = int(centroid.y()/self._y_off)*self._y_off + _y_off
#self._write_feature(writer, f, lon, lat, zone_str, count_val)
zone_stats[gid] += 1
grid_points[self._make_key(zone_str, gid, lon, lat)] = 1
except Exception as err:
raise OperatorError("error processing missing points: " % err, self.__class__)
# output result
fields = {
0 : QgsField(self._lon_field, QVariant.Double),
1 : QgsField(self._lat_field, QVariant.Double),
2 : QgsField(zone_field, QVariant.String),
3 : QgsField(count_field, QVariant.Double)
}
grid_layername = 'grid_%s' % (get_unique_filename())
grid_file = '%s%s.shp' % (self._tmp_dir, grid_layername)
try:
f = QgsFeature()
writer = QgsVectorFileWriter(grid_file, "utf-8", fields, QGis.WKBPoint, self._crs, "ESRI Shapefile")
for key, value in grid_points.iteritems():
[zone, zone_gid, lon, lat] = self._parse_key(key)
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
"""
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
f.addAttribute(0, QVariant(lon))
f.addAttribute(1, QVariant(lat))
f.addAttribute(2, QVariant(zone_str))
f.addAttribute(3, QVariant(count_val / total_features))
writer.addFeature(f)
"""
value = float(value) / zone_stats[zone_gid] * zone_count_stats[zone_gid]
#grid_points[key] = value
self._write_feature(writer, f, lon, lat, zone, value)
del writer
except Exception as err:
raise OperatorError("error creating joined grid file: " % err, self.__class__)
# load result layer
grid_layer = load_shapefile(grid_file, grid_layername)
if not grid_layer:
raise OperatorError('Error loading joined grid file' % (grid_file), self.__class__)
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
self.outputs[0].value = grid_layer
self.outputs[1].value = grid_file
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
survey_layer = self.inputs[0].value
zone_layer = self.inputs[1].value
zone_field = self.inputs[2].value
tax_field = self._tax_field
logAPICall.log(
'survey %s, taxfield %s, zone %s, zone_field, %s' %
(survey_layer.name(), tax_field, zone_layer.name(), zone_field),
logAPICall.DEBUG)
tmp_join_layername = 'join_%s' % get_unique_filename()
tmp_join_file = self._tmp_dir + tmp_join_layername + '.shp'
# load zone classes
try:
zone_classes = layer_field_stats(zone_layer, zone_field)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
# merge to create stats
logAPICall.log('merge survey & zone', logAPICall.DEBUG)
analyzer = QgsOverlayAnalyzer()
analyzer.intersection(survey_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join_layername)
logAPICall.log('create mapping schemes', logAPICall.DEBUG)
ms = MappingScheme(self._taxonomy)
for _zone, _count in zone_classes.iteritems():
stats = Statistics(self._taxonomy)
ms.assign(MappingSchemeZone(_zone), stats)
# loop through all input features
zone_idx = layer_field_index(tmp_join_layer, zone_field)
tax_idx = layer_field_index(tmp_join_layer, tax_field)
area_idx = layer_field_index(tmp_join_layer, AREA_FIELD_NAME)
cost_idx = layer_field_index(tmp_join_layer, COST_FIELD_NAME)
for _f in layer_features(tmp_join_layer):
_zone_str = str(_f.attributeMap()[zone_idx].toString())
_tax_str = str(_f.attributeMap()[tax_idx].toString())
additional = {}
_area = _f.attributeMap()[area_idx].toDouble()[0]
if _area > 0:
additional = {StatisticNode.AverageSize: _area}
_cost = _f.attributeMap()[cost_idx].toDouble()[0]
if _cost > 0:
additional = {StatisticNode.UnitCost: _cost}
logAPICall.log('zone %s => %s' % (_zone_str, _tax_str),
logAPICall.DEBUG_L2)
try:
ms.get_assignment_by_name(_zone_str).add_case(
_tax_str, self._parse_order, self._parse_modifiers,
additional)
except TaxonomyParseError as perr:
logAPICall.log(
"error parsing case %s, %s" % (str(_tax_str), str(perr)),
logAPICall.WARNING)
# store data in output
for _zone, _stats in ms.assignments():
_stats.finalize()
_stats.get_tree().value = _zone.name
# clean up
del tmp_join_layer, analyzer
remove_shapefile(tmp_join_file)
self.outputs[0].value = ms
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
count_field = self.inputs[2].value
grid_layer = self.inputs[3].value
zone_stats = {}
zone_count_stats = {}
gid_idx = layer_field_index(zone_layer, self._gid_field)
count_idx = layer_field_index(zone_layer, count_field)
for _f in layer_features(zone_layer):
gid = _f.attributeMap()[gid_idx].toString()
zone_stats[gid] = 0
zone_count_stats[gid] = _f.attributeMap()[count_idx].toDouble()[0]
# create storage for temporary output data
use_grid_db = grid_layer.dataProvider().featureCount(
) > MAX_FEATURES_IN_MEMORY
if False:
tmp_grid_db_file = '%sdb_%s.db' % (self._tmp_dir,
get_unique_filename())
grid_points = bsddb.btopen(tmp_grid_db_file, 'c')
else:
grid_points = {}
# merge to create stats
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
analyzer = QgsOverlayAnalyzer()
try:
analyzer.intersection(grid_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile_verify(tmp_join_file, tmp_join,
[zone_field, count_field])
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
stats = layer_multifields_stats(tmp_join_layer,
[zone_field, count_field])
if stats == False:
raise OperatorError(
"error creating statistic based on input files",
self.__class__)
zone_idx = layer_field_index(tmp_join_layer, zone_field)
count_idx = layer_field_index(tmp_join_layer, count_field)
lon_idx = layer_field_index(tmp_join_layer, self._lon_field)
lat_idx = layer_field_index(tmp_join_layer, self._lat_field)
gid_idx = layer_field_index(tmp_join_layer, self._gid_field)
try:
for _f in layer_features(tmp_join_layer):
lon = _f.attributeMap()[lon_idx].toDouble()[0]
lat = _f.attributeMap()[lat_idx].toDouble()[0]
zone_str = str(_f.attributeMap()[zone_idx].toString()).upper()
count_val = _f.attributeMap()[count_idx].toDouble()[0]
gid = _f.attributeMap()[gid_idx].toString()
# update stats
zone_stats[gid] += 1
grid_points[self._make_key(zone_str, gid, lon, lat)] = 1
except Exception as err:
raise OperatorError("error processing joined layer: " % err,
self.__class__)
# test for zones without a grid point assigned
count_idx = layer_field_index(zone_layer, count_field)
gid_idx = layer_field_index(zone_layer, self._gid_field)
zone_idx = layer_field_index(zone_layer, zone_field)
_x_off, _y_off = self._x_off / 2.0, self._y_off / 2.0
try:
for _f in layer_features(zone_layer):
centroid = _f.geometry().centroid().asPoint()
zone_str = str(_f.attributeMap()[zone_idx].toString()).upper()
count_val = _f.attributeMap()[count_idx].toDouble()[0]
gid = _f.attributeMap()[gid_idx].toString()
if zone_stats[gid] == 0:
# get lower left corner
lon = int(centroid.x() /
DEFAULT_GRID_SIZE) * self._x_off + _x_off
lat = int(
centroid.y() / self._y_off) * self._y_off + _y_off
#self._write_feature(writer, f, lon, lat, zone_str, count_val)
zone_stats[gid] += 1
grid_points[self._make_key(zone_str, gid, lon, lat)] = 1
except Exception as err:
raise OperatorError("error processing missing points: " % err,
self.__class__)
# output result
fields = {
0: QgsField(self._lon_field, QVariant.Double),
1: QgsField(self._lat_field, QVariant.Double),
2: QgsField(zone_field, QVariant.String),
3: QgsField(count_field, QVariant.Double)
}
grid_layername = 'grid_%s' % (get_unique_filename())
grid_file = '%s%s.shp' % (self._tmp_dir, grid_layername)
try:
f = QgsFeature()
writer = QgsVectorFileWriter(grid_file, "utf-8", fields,
QGis.WKBPoint, self._crs,
"ESRI Shapefile")
for key, value in grid_points.iteritems():
[zone, zone_gid, lon, lat] = self._parse_key(key)
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
"""
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
f.addAttribute(0, QVariant(lon))
f.addAttribute(1, QVariant(lat))
f.addAttribute(2, QVariant(zone_str))
f.addAttribute(3, QVariant(count_val / total_features))
writer.addFeature(f)
"""
value = float(
value) / zone_stats[zone_gid] * zone_count_stats[zone_gid]
#grid_points[key] = value
self._write_feature(writer, f, lon, lat, zone, value)
del writer
except Exception as err:
raise OperatorError("error creating joined grid file: " % err,
self.__class__)
# load result layer
grid_layer = load_shapefile(grid_file, grid_layername)
if not grid_layer:
raise OperatorError('Error loading joined grid file' % (grid_file),
self.__class__)
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
self.outputs[0].value = grid_layer
self.outputs[1].value = grid_file
def do_operation(self):
""" perform create mappin """
# validate inputs
popgrid_layer = self.inputs[0].value
zone_layer = self.inputs[1].value
zone_field = self.inputs[2].value
pop_to_bldg = float(self.inputs[3].value)
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(popgrid_layer)
self._test_layer_field_exists(popgrid_layer, CNT_FIELD_NAME)
self._test_layer_loaded(zone_layer)
self._test_layer_field_exists(zone_layer, zone_field)
# count_field is not required
# if count field is not defined, then generate building count from footprints
# local variables
analyzer = QgsOverlayAnalyzer()
# intersect grids and zones to obtain polygons with
# - population and zone_id
# - apply ratio to population to obtain building count
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
try:
# do intersection
analyzer.intersection(popgrid_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# generate grid with building counts
fields = {
0 : QgsField(GID_FIELD_NAME, QVariant.String),
1 : QgsField(zone_field, QVariant.String),
2 : QgsField(CNT_FIELD_NAME, QVariant.Double),
}
output_layername = 'grid_%s' % get_unique_filename()
output_file = '%s%s.shp' % (self._tmp_dir, output_layername)
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
pop_idx = layer_field_index(tmp_join_layer, CNT_FIELD_NAME)
zone_idx = layer_field_index(tmp_join_layer, zone_field)
for _f in layer_features(tmp_join_layer):
pop_count = _f.attributeMap()[pop_idx].toDouble()[0]
zone = _f.attributeMap()[zone_idx].toString()
# 1. get geometry
geom = _f.geometry()
# 2. get original centroid point and project is required
centroid = geom.centroid().asPoint()
grid_gid = latlon_to_grid(centroid.y(), centroid.x())
f.setGeometry(self._outputGeometryFromGridId(grid_gid))
f.addAttribute(0, grid_gid)
f.addAttribute(1, zone)
f.addAttribute(2, pop_count / pop_to_bldg)
writer.addFeature(f)
del writer
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
# store data in output
self._load_output(output_file, output_layername)
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
zone_count_field = self.inputs[2].value
fp_layer = self.inputs[3].value
# merge with zone
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
analyzer = QgsOverlayAnalyzer()
try:
analyzer.intersection(fp_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# count footprint in each zone
gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME + "_")
area_idx = layer_field_index(tmp_join_layer, AREA_FIELD_NAME)
ht_idx = layer_field_index(tmp_join_layer, HT_FIELD_NAME)
stats = {}
for _feature in layer_features(tmp_join_layer):
gid = _feature.attributeMap()[gid_idx].toString()
if ht_idx > 0:
ht = _feature.attributeMap()[ht_idx].toDouble()[0]
else:
ht = 0
# if height is not defined, it is set to 0
# this will cause the system to ignore area generate without having to
# remove the field
area = _feature.attributeMap()[area_idx].toDouble()[0] * ht #
if not stats.has_key(gid):
stats[gid] = (1, area)
else:
stat = stats[gid]
stats[gid] = (stat[0] + 1, stat[1] + area)
output_layername = 'zone_%s' % get_unique_filename()
output_file = '%s%s.shp' % (self._tmp_dir, output_layername)
logAPICall.log('create outputfile %s ... ' % output_file,
logAPICall.DEBUG)
try:
fields = {
0: QgsField(GID_FIELD_NAME, QVariant.Int),
1: QgsField(zone_field, QVariant.String),
2: QgsField(CNT_FIELD_NAME, QVariant.Int),
3: QgsField(AREA_FIELD_NAME, QVariant.Int),
}
writer = QgsVectorFileWriter(output_file, "utf-8", fields,
QGis.WKBPolygon, self._crs,
"ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(zone_layer):
# write to file
f.setGeometry(_f.geometry())
f.addAttribute(0, _f.attributeMap()[0])
f.addAttribute(1, _f.attributeMap()[1])
# retrieve count from statistic
try:
gid = _f.attributeMap()[0].toString()
stat = stats[gid]
bldg_count = stat[0]
area = stat[1]
except:
bldg_count, area = 0, 0
f.addAttribute(2, QVariant(bldg_count))
f.addAttribute(3, QVariant(area))
writer.addFeature(f)
del writer, f
except Exception as err:
remove_shapefile(output_file)
raise OperatorError("error creating zone: %s" % err,
self.__class__)
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
# store data in output
output_layer = load_shapefile(output_file, output_layername)
if not output_layer:
raise OperatorError(
'Error loading footprint centroid file' % (output_file),
self.__class__)
self.outputs[0].value = output_layer
self.outputs[1].value = output_file
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
popgrid_layer = self.inputs[2].value
pop_to_bldg = float(self.inputs[3].value)
# merge with zone
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
analyzer = QgsOverlayAnalyzer()
try:
analyzer.intersection(popgrid_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# count footprint in each zone
stats = {}
_gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME + "_")
_cnt_idx = layer_field_index(tmp_join_layer, CNT_FIELD_NAME)
for _f in layer_features(tmp_join_layer):
# retrieve count from statistic
_gid = _f.attributeMap()[_gid_idx].toString()
_count = _f.attributeMap()[_cnt_idx].toString()
if stats.has_key(_gid):
stats[_gid] += float(_count) / pop_to_bldg
else:
stats[_gid] = float(_count) / pop_to_bldg
output_layername = 'zone_%s' % get_unique_filename()
output_file = '%s%s.shp' % (self._tmp_dir, output_layername)
logAPICall.log('create outputfile %s ... ' % output_file,
logAPICall.DEBUG)
try:
fields = {
0: QgsField(GID_FIELD_NAME, QVariant.Int),
1: QgsField(zone_field, QVariant.String),
2: QgsField(CNT_FIELD_NAME, QVariant.Int),
}
writer = QgsVectorFileWriter(output_file, "utf-8", fields,
QGis.WKBPolygon, self._crs,
"ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(zone_layer):
# write to file
f.setGeometry(_f.geometry())
f.addAttribute(0, _f.attributeMap()[0])
f.addAttribute(1, _f.attributeMap()[1])
# retrieve count from statistic
try:
gid = _f.attributeMap()[0].toString()
bldg_count = stats[gid]
except:
bldg_count = 0
f.addAttribute(2, QVariant(bldg_count))
writer.addFeature(f)
del writer, f
except Exception as err:
remove_shapefile(output_file)
raise OperatorError("error creating zone: %s" % err,
self.__class__)
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
# store data in output
output_layer = load_shapefile(output_file, output_layername)
if not output_layer:
raise OperatorError(
'Error loading footprint centroid file' % (output_file),
self.__class__)
self.outputs[0].value = output_layer
self.outputs[1].value = output_file
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
fp_layer = self.inputs[2].value
# merge with zone to get assignment
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
analyzer = QgsOverlayAnalyzer()
try:
analyzer.intersection(fp_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile_verify(tmp_join_file, tmp_join,
[zone_field])
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
fields = {
0: QgsField(self._lon_field, QVariant.Double),
1: QgsField(self._lat_field, QVariant.Double),
2: QgsField(zone_field, QVariant.String),
}
zone_idx = layer_field_index(tmp_join_layer, zone_field)
fp_layername = 'fpc_%s' % get_unique_filename()
fp_file = '%s%s.shp' % (self._tmp_dir, fp_layername)
try:
writer = QgsVectorFileWriter(fp_file, "utf-8", fields,
QGis.WKBPoint, self._crs,
"ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(tmp_join_layer):
centroid = _f.geometry().centroid().asPoint()
lon = centroid.x()
lat = centroid.y()
zone_str = str(_f.attributeMap()[zone_idx].toString()).upper()
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
f.addAttribute(0, QVariant(lon))
f.addAttribute(1, QVariant(lat))
f.addAttribute(2, QVariant(zone_str))
writer.addFeature(f)
del writer
except Exception as err:
logAPICall.log(err, logAPICall.ERROR)
remove_shapefile(fp_file)
raise OperatorError("error creating joined grid: %s" % err,
self.__class__)
# load shapefile as layer
fp_layer = load_shapefile(fp_file, fp_layername)
if not fp_layer:
raise OperatorError(
'Error loading footprint centroid file' % (fp_file),
self.__class__)
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
self.outputs[0].value = fp_layer
self.outputs[1].value = fp_file
def do_operation(self):
# input/output verification not performed yet
fp_layer = self.inputs[0].value
area_field = self.inputs[1].value
ht_field = self.inputs[2].value
zone_layer = self.inputs[3].value
zone_field = self.inputs[4].value
svy_layer = self.inputs[5].value
# make sure required data fields are populated
area_idx = layer_field_index(fp_layer, area_field)
if area_idx == -1:
raise OperatorError("Field %s does not exist in %s" %(area_field, fp_layer.name()), self.__class__)
ht_idx = layer_field_index(fp_layer, ht_field)
if ht_idx == -1:
raise OperatorError("Field %s does not exist in %s" %(ht_field, fp_layer.name()), self.__class__)
zone_idx = layer_field_index(zone_layer, zone_field)
if zone_idx == -1:
raise OperatorError("Field %s does not exist in %s" %(zone_field, zone_layer.name()), self.__class__)
svy_samp_idx = layer_field_index(svy_layer, GRP_FIELD_NAME)
if svy_samp_idx == -1:
raise OperatorError("Field %s does not exist in %s" %(GRP_FIELD_NAME, svy_layer.name()), self.__class__)
svy_ht_idx = layer_field_index(svy_layer, HT_FIELD_NAME)
if svy_ht_idx == -1:
raise OperatorError("Field %s does not exist in %s" %(HT_FIELD_NAME, svy_layer.name()), self.__class__)
svy_size_idx = layer_field_index(svy_layer, AREA_FIELD_NAME)
if svy_size_idx == -1:
raise OperatorError("Field %s does not exist in %s" %(AREA_FIELD_NAME, svy_layer.name()))
tax_idx = layer_field_index(svy_layer, TAX_FIELD_NAME)
if tax_idx == -1:
raise OperatorError("Field %s does not exist in %s" %(TAX_FIELD_NAME, svy_layer.name()))
# load zone classes
# the operations below must be performed for each zone
try:
zone_classes = layer_field_stats(zone_layer, zone_field)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
# join survey with zones
logAPICall.log('merge survey & zone', logAPICall.DEBUG)
tmp_join_layername = 'join_%s' % get_unique_filename()
tmp_join_file = self._tmp_dir + tmp_join_layername + '.shp'
analyzer = QgsOverlayAnalyzer()
analyzer.intersection(svy_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join_layername)
logAPICall.log('compile zone statistics', logAPICall.DEBUG)
zone_idx = layer_field_index(tmp_join_layer, zone_field)
svy_samp_idx = layer_field_index(tmp_join_layer, GRP_FIELD_NAME)
svy_ht_idx = layer_field_index(tmp_join_layer, HT_FIELD_NAME)
svy_size_idx = layer_field_index(tmp_join_layer, AREA_FIELD_NAME)
if svy_size_idx == -1:
raise OperatorError("Field %s does not exist in %s" %(AREA_FIELD_NAME, svy_layer.name()))
tax_idx = layer_field_index(tmp_join_layer, TAX_FIELD_NAME)
if tax_idx == -1:
raise OperatorError("Field %s does not exist in %s" %(TAX_FIELD_NAME, svy_layer.name()))
# empty fields for holding the stats
_zone_n_exp, _zone_p_exp, _zone_a_exp, _zone_e_exp = {}, {}, {}, {}
_zone_group_counts, _zone_group_stories, _zone_group_weight = {}, {}, {}
_zone_total_area, _zone_total_count, _zone_total_ht = {}, {}, {}
for _zone in zone_classes.iterkeys():
_zone_n_exp[_zone] = {}
_zone_p_exp[_zone] = {}
_zone_a_exp[_zone] = {}
_zone_e_exp[_zone] = {}
_zone_group_counts[_zone] = {}
_zone_group_stories[_zone] = {}
_zone_group_weight[_zone] = {}
_zone_total_area[_zone] = 0
_zone_total_count[_zone] = 0
_zone_total_ht[_zone] = 0
# associate group to ratio value
for _rec in layer_features(tmp_join_layer):
_ht = _rec.attributeMap()[svy_ht_idx].toInt()[0]
_samp_grp = str(_rec.attributeMap()[svy_samp_idx].toString())
_tax_str = str(_rec.attributeMap()[tax_idx].toString())
try:
self._taxonomy.parse(_tax_str)
self.increment_dict(_zone_group_counts[_zone], _samp_grp, 1)
self.increment_dict(_zone_group_stories[_zone], _samp_grp, _ht)
except Exception as err:
logAPICall.log("Error processing record %s" % err, logAPICall.WARNING)
for _zone in zone_classes.iterkeys():
if len(_zone_group_counts[_zone]) != 3:
raise OperatorError("Survey must have 3 sampling groups", self.__class__)
cmp_value = -1
for _grp, _count in _zone_group_counts[_zone].iteritems():
if cmp_value==-1:
cmp_value = _count
if cmp_value != _count:
raise OperatorError("Survey groups must have same number of samples", self.__class__)
# sort by stories
group_stories_for_sort = {}
for _grp, _ht in _zone_group_stories[_zone].iteritems():
group_stories_for_sort[_ht] = _grp
sorted_keys = group_stories_for_sort.keys()
sorted_keys.sort()
# assign group to weight
for idx, key in enumerate(sorted_keys):
_zone_group_weight[_zone][group_stories_for_sort[key]] = self.weights[idx]
# aggregate values from survey for each building type
# - count (n)
# - floor area (p)
# - total area (a)
for _f in layer_features(tmp_join_layer):
_zone_str = str(_f.attributeMap()[zone_idx].toString())
_tax_str = str(_f.attributeMap()[tax_idx].toString())
_sample_grp = str(_f.attributeMap()[svy_samp_idx].toString())
_sample_size = _f.attributeMap()[svy_size_idx].toDouble()[0]
_sample_ht = _f.attributeMap()[svy_size_idx].toDouble()[0]
group_weight = _zone_group_weight[_zone]
try:
self._taxonomy.parse(_tax_str)
self.increment_dict(_zone_n_exp[_zone_str], _tax_str, group_weight[_sample_grp])
self.increment_dict(_zone_p_exp[_zone_str], _tax_str, _sample_size*group_weight[_sample_grp])
self.increment_dict(_zone_a_exp[_zone_str], _tax_str, _sample_size*_ht*group_weight[_sample_grp])
self.increment_dict(_zone_e_exp[_zone_str], _tax_str, 0)
except Exception as err:
logAPICall.log("error processing sample with building type: %s" % _tax_str, logAPICall.WARNING)
pass
# adjust ratio using footprint ht/area
tmp_join_layername2 = 'join_%s' % get_unique_filename()
tmp_join_file2 = self._tmp_dir + tmp_join_layername2 + '.shp'
analyzer = QgsOverlayAnalyzer()
analyzer.intersection(fp_layer, zone_layer, tmp_join_file2)
tmp_join_layer2 = load_shapefile(tmp_join_file2, tmp_join_layername)
zone_idx = layer_field_index(tmp_join_layer2, zone_field)
area_idx = layer_field_index(tmp_join_layer2, area_field)
ht_idx = layer_field_index(tmp_join_layer2, ht_field)
for _f in layer_features(tmp_join_layer2):
_zone_str = str(_f.attributeMap()[zone_idx].toString())
_area = _f.attributeMap()[area_idx].toDouble()[0]
_ht = _f.attributeMap()[ht_idx].toDouble()[0]
_zone_total_area[_zone_str] += _area
_zone_total_count[_zone_str] += 1
_zone_total_ht[_zone_str] += _ht
# calculate building ratios for each zone
for _zone in zone_classes.iterkeys():
# for total count (n) and area (a)
e_nt_cluster_total = sum(_zone_n_exp[_zone].itervalues())
e_at_cluster_total = sum(_zone_a_exp[_zone].itervalues())
# E[A] estimated total building area for zone
e_at_total = _zone_total_area[_zone] * _zone_total_ht[_zone]/_zone_total_count[_zone]
# calculate expected values
for t, e_at_cluster in _zone_a_exp[_zone].iteritems():
e_nt_cluster = _zone_n_exp[_zone][t]
if e_at_cluster == 0 or e_at_total == 0:
# area is missing, use count instead
_zone_e_exp[_zone][t] = e_nt_cluster / e_nt_cluster_total
_zone_a_exp[_zone][t] = 0
else:
# use ratio of area over total area
# E[f(t)] building fraction based on sampled area
e_ft_cluster = e_at_cluster / e_at_cluster_total
# E[G(t)] average area per building
e_gt_cluster = e_at_cluster / e_nt_cluster
# E[A(t)] estimated total building area for zone for building type
e_at = e_at_total * e_ft_cluster
# E[N(t)] estimated total number of buildings zone-wide by type
e_nt = e_at / e_gt_cluster
_zone_e_exp[_zone][t] = e_nt
_zone_a_exp[_zone][t] = e_ft_cluster
# convert the building ratios
logAPICall.log('create mapping scheme for zones', logAPICall.DEBUG)
ms = MappingScheme(self._taxonomy)
for _zone in zone_classes.iterkeys():
# create mapping scheme for zone
stats = Statistics(self._taxonomy)
# use building ratio to create statistic
for _tax_str, _e_exp in _zone_e_exp[_zone].iteritems():
stats.add_case(_tax_str, self._parse_order, self._parse_modifiers, add_times=int(_e_exp*1000))
# finalize call is required
stats.finalize()
ms.assign(MappingSchemeZone(_zone), stats)
# clean up
del tmp_join_layer, analyzer
remove_shapefile(tmp_join_file)
# assign output
self.outputs[0].value = ms
self.outputs[1].value = _zone_a_exp
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
survey_layer = self.inputs[0].value
zone_layer = self.inputs[1].value
zone_field = self.inputs[2].value
tax_field = self._tax_field
logAPICall.log('survey %s, taxfield %s, zone %s, zone_field, %s' % (survey_layer.name(), tax_field, zone_layer.name(), zone_field),
logAPICall.DEBUG)
tmp_join_layername = 'join_%s' % get_unique_filename()
tmp_join_file = self._tmp_dir + tmp_join_layername + '.shp'
# load zone classes
try:
zone_classes = layer_field_stats(zone_layer, zone_field)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
# merge to create stats
logAPICall.log('merge survey & zone', logAPICall.DEBUG)
analyzer = QgsOverlayAnalyzer()
analyzer.intersection(survey_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join_layername)
logAPICall.log('create mapping schemes', logAPICall.DEBUG)
ms = MappingScheme(self._taxonomy)
for _zone, _count in zone_classes.iteritems():
stats = Statistics(self._taxonomy)
ms.assign(MappingSchemeZone(_zone), stats)
# loop through all input features
zone_idx = layer_field_index(tmp_join_layer, zone_field)
tax_idx = layer_field_index(tmp_join_layer, tax_field)
area_idx = layer_field_index(tmp_join_layer, AREA_FIELD_NAME)
cost_idx = layer_field_index(tmp_join_layer, COST_FIELD_NAME)
for _f in layer_features(tmp_join_layer):
_zone_str = str(_f.attributeMap()[zone_idx].toString())
_tax_str = str(_f.attributeMap()[tax_idx].toString())
additional = {}
_area = _f.attributeMap()[area_idx].toDouble()[0]
if _area > 0:
additional = {StatisticNode.AverageSize: _area}
_cost = _f.attributeMap()[cost_idx].toDouble()[0]
if _cost > 0:
additional = {StatisticNode.UnitCost: _cost}
logAPICall.log('zone %s => %s' % (_zone_str, _tax_str) , logAPICall.DEBUG_L2)
try:
ms.get_assignment_by_name(_zone_str).add_case(_tax_str, self._parse_order, self._parse_modifiers, additional)
except TaxonomyParseError as perr:
logAPICall.log("error parsing case %s, %s" % (str(_tax_str), str(perr)), logAPICall.WARNING)
# store data in output
for _zone, _stats in ms.assignments():
_stats.finalize()
_stats.get_tree().value = _zone.name
# clean up
del tmp_join_layer, analyzer
remove_shapefile(tmp_join_file)
self.outputs[0].value = ms
def do_operation(self):
# validate inputs
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
count_field = self.inputs[2].value
area_field = self.inputs[3].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(zone_layer)
self._test_layer_field_exists(zone_layer, GID_FIELD_NAME)
self._test_layer_field_exists(zone_layer, zone_field)
self._test_layer_field_exists(zone_layer, count_field)
# local variables
analyzer = QgsOverlayAnalyzer()
area_idx = ToGrid.STAT_AREA_IDX
#cnt_idx = ToGrid.STAT_COUNT_IDX
# 1. find building count and total area for each zone
zone_names, zone_stat= {}, {}
try:
self._create_zone_statistics(zone_layer, zone_field, count_field,
zone_stat, zone_names)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# 2. create grids around extent of zone
tmp_grid1 = 'grid_' + get_unique_filename()
tmp_grid1_file = self._tmp_dir + tmp_grid1 + '.shp'
try:
extent = zone_layer.extent()
[x_min, y_min, x_max, y_max] = [extent.xMinimum(), extent.yMinimum(), extent.xMaximum(), extent.yMaximum()]
tmp_grid_lyr1 = self._create_grid(tmp_grid1, tmp_grid1_file, \
x_min, y_min, x_max, y_max, \
DEFAULT_GRID_SIZE, DEFAULT_GRID_SIZE)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# 3. intersect grids and zones to obtain polygons with
# - grid_id and zone_id
# - ratio of grid covered by zone (polygon area / zone area)
# apply ratio to zone building count to obtain count assigned to polygon
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
try:
# do intersection
analyzer.intersection(tmp_grid_lyr1, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# do tally
zone_gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME)
grid_gid_idx = layer_field_index(tmp_join_layer, "GRID_GID")
bldg_cnt_idx = layer_field_index(tmp_join_layer, count_field)
bldg_area_idx = layer_field_index(tmp_join_layer, area_field)
mercator_transform = QgsCoordinateTransform(tmp_join_layer.crs(),
self.mercator_crs)
fields = {
0 : QgsField(GID_FIELD_NAME, QVariant.String),
1 : QgsField(zone_field, QVariant.String),
2 : QgsField(CNT_FIELD_NAME, QVariant.Double),
3 : QgsField(AREA_FIELD_NAME, QVariant.Double),
}
output_layername = 'grid_%s' % get_unique_filename()
output_file = '%s%s.shp' % (self._tmp_dir, output_layername)
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(tmp_join_layer):
# get area of polygon
geom = _f.geometry()
geom.transform(mercator_transform)
area = geom.area()
# generate all stats of interest
zone_gid = _f.attributeMap()[zone_gid_idx].toString()
grid_gid = _f.attributeMap()[grid_gid_idx].toString()
stat = zone_stat[zone_gid]
# calculate count/area as proportion of total zone area
bldg_cnt = _f.attributeMap()[bldg_cnt_idx].toDouble()[0] * (area/stat[area_idx])
if bldg_area_idx> 0:
bldg_area = _f.attributeMap()[bldg_area_idx].toDouble()[0] * (area/stat[area_idx])
else:
bldg_area = 0
# create output record
f.setGeometry(self._outputGeometryFromGridId(grid_gid))
f.addAttribute(0, grid_gid)
f.addAttribute(1, zone_names[QString(zone_gid)])
f.addAttribute(2, bldg_cnt)
f.addAttribute(3, bldg_area)
writer.addFeature(f)
del writer
# clean up
del tmp_grid_lyr1
del tmp_join_layer
remove_shapefile(tmp_grid1_file)
remove_shapefile(tmp_join_file)
# store data in output
self._load_output(output_file, output_layername)
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
zone_count_field = self.inputs[2].value
fp_layer = self.inputs[3].value
# merge with zone
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
analyzer = QgsOverlayAnalyzer()
try:
analyzer.intersection(fp_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# count footprint in each zone
gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME + "_")
area_idx = layer_field_index(tmp_join_layer, AREA_FIELD_NAME)
ht_idx = layer_field_index(tmp_join_layer, HT_FIELD_NAME)
stats = {}
for _feature in layer_features(tmp_join_layer):
gid = _feature.attributeMap()[gid_idx].toString()
if ht_idx > 0:
ht = _feature.attributeMap()[ht_idx].toDouble()[0]
else:
ht = 0
# if height is not defined, it is set to 0
# this will cause the system to ignore area generate without having to
# remove the field
area = _feature.attributeMap()[area_idx].toDouble()[0] * ht #
if not stats.has_key(gid):
stats[gid] = (1, area)
else:
stat = stats[gid]
stats[gid] = (stat[0]+1, stat[1]+area)
output_layername = 'zone_%s' % get_unique_filename()
output_file = '%s%s.shp' % (self._tmp_dir, output_layername)
logAPICall.log('create outputfile %s ... ' % output_file, logAPICall.DEBUG)
try:
fields ={
0 : QgsField(GID_FIELD_NAME, QVariant.Int),
1 : QgsField(zone_field, QVariant.String),
2 : QgsField(CNT_FIELD_NAME, QVariant.Int),
3 : QgsField(AREA_FIELD_NAME, QVariant.Int),
}
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(zone_layer):
# write to file
f.setGeometry(_f.geometry())
f.addAttribute(0, _f.attributeMap()[0])
f.addAttribute(1, _f.attributeMap()[1])
# retrieve count from statistic
try:
gid = _f.attributeMap()[0].toString()
stat = stats[gid]
bldg_count = stat[0]
area = stat[1]
except:
bldg_count, area = 0, 0
f.addAttribute(2, QVariant(bldg_count))
f.addAttribute(3, QVariant(area))
writer.addFeature(f)
del writer, f
except Exception as err:
remove_shapefile(output_file)
raise OperatorError("error creating zone: %s" % err, self.__class__)
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
# store data in output
output_layer = load_shapefile(output_file, output_layername)
if not output_layer:
raise OperatorError('Error loading footprint centroid file' % (output_file), self.__class__)
self.outputs[0].value = output_layer
self.outputs[1].value = output_file
def do_operation(self):
""" perform create mapping scheme operation """
# validate inputs
fp_layer = self.inputs[0].value
zone_layer = self.inputs[1].value
zone_field = self.inputs[2].value
count_field = self.inputs[3].value
area_field = self.inputs[4].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(fp_layer)
self._test_layer_loaded(zone_layer)
self._test_layer_field_exists(zone_layer, GID_FIELD_NAME)
self._test_layer_field_exists(zone_layer, zone_field)
# count_field is not required
# if count field is not defined, then generate building count from footprints
# area_field is not required
# local variables
analyzer = QgsOverlayAnalyzer()
area_idx = ToGrid.STAT_AREA_IDX
cnt_idx = ToGrid.STAT_COUNT_IDX
zone_names, zone_stat, zone_stat2, zone_totals = {}, {}, {}, {}
# 1. find building count and total area for each zone
# project geometry into mercator and get area in m2
mercator_crs = QgsCoordinateReferenceSystem()
mercator_crs.createFromEpsg(3395)
mercator_transform = QgsCoordinateTransform(zone_layer.crs(), mercator_crs)
try:
# use zone geometry area
self._create_zone_statistics(zone_layer, zone_field, count_field,
zone_stat, zone_names)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# 2. create grids around extent of zone
tmp_grid1 = 'grid_' + get_unique_filename()
tmp_grid1_file = self._tmp_dir + tmp_grid1 + '.shp'
extent = zone_layer.extent()
[x_min, y_min, x_max, y_max] = [extent.xMinimum(), extent.yMinimum(), extent.xMaximum(), extent.yMaximum()]
tmp_grid_lyr1 = self._create_grid(tmp_grid1, tmp_grid1_file, \
x_min, y_min, x_max, y_max, \
DEFAULT_GRID_SIZE, DEFAULT_GRID_SIZE)
# tally total building area if there is defined
bldg_area_idx = layer_field_index(zone_layer, area_field)
zone_area = {}
zone_has_area = False
if bldg_area_idx > 0:
zone_has_area = True
zone_gid_idx = layer_field_index(zone_layer, GID_FIELD_NAME)
for _f in layer_features(zone_layer):
gid = _f.attributeMap()[zone_gid_idx].toString()
area = _f.attributeMap()[bldg_area_idx].toDouble()[0]
if zone_area.has_key(gid):
zone_area[gid] = str(float(zone_area[gid]))+area
else:
zone_area[gid] = area
# 3. intersect grids and zones to obtain polygons with
# - grid_id and zone_id
# - ratio of grid covered by zone (polygon area / zone area)
# apply ratio to zone building count to obtain count assigned to polygon
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
try:
# do intersection
analyzer.intersection(tmp_grid_lyr1, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# do tally
zone_gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME)
grid_gid_idx = layer_field_index(tmp_join_layer, "GRID_GID")
bldg_cnt_idx = layer_field_index(tmp_join_layer, count_field)
for _f in layer_features(tmp_join_layer):
geom = _f.geometry()
geom.transform(mercator_transform)
area = geom.area()
# generate all stats of interest
zone_gid = _f.attributeMap()[zone_gid_idx].toString()
grid_gid = _f.attributeMap()[grid_gid_idx].toString()
stat = zone_stat[zone_gid]
# calculate count/area as proportion of total zone area
area_ratio = (area/stat[area_idx])
if bldg_cnt_idx > 0:
bldg_cnt = _f.attributeMap()[bldg_cnt_idx].toDouble()[0] * area_ratio
else:
bldg_cnt = 0
if zone_has_area:
area = zone_area[zone_gid] * area_ratio
else:
area = stat[area_idx] * area_ratio
self._update_stat(zone_stat2, '%s|%s'%(grid_gid, zone_gid), bldg_cnt, area)
# 4. find total buildings in each zone based on footprint
# - simply join the files and tally count and total area
tmp_join1 = 'joined_%s' % get_unique_filename()
tmp_join1_file = '%s%s.shp' % (self._tmp_dir, tmp_join1)
try:
# do intersection
analyzer.intersection(fp_layer, tmp_join_layer, tmp_join1_file)
tmp_join1_layer = load_shapefile(tmp_join1_file, tmp_join1)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# do tally
zone_fp_stat = {}
zone_gid_idx = layer_field_index(tmp_join1_layer, '%s_'% GID_FIELD_NAME)
grid_gid_idx = layer_field_index(tmp_join1_layer, "GRID_GID")
fp_area_idx = layer_field_index(tmp_join1_layer, AREA_FIELD_NAME)
fp_ht_idx = layer_field_index(tmp_join1_layer, HT_FIELD_NAME)
fp_has_height = False
for _f in layer_features(tmp_join1_layer):
zone_gid = _f.attributeMap()[zone_gid_idx].toString()
grid_gid = _f.attributeMap()[grid_gid_idx].toString()
area = _f.attributeMap()[fp_area_idx].toDouble()[0] # area comes from geometry, always exists
ht = _f.attributeMap()[fp_ht_idx].toDouble()[0]
if ht > 0:
fp_has_height = True
area *= ht # this is actual area to be aggregated at the end
self._update_stat(zone_fp_stat, '%s|%s'%(grid_gid, zone_gid), 1, area)
self._update_stat(zone_totals, zone_gid, 1, area)
# 5. generate grid with adjusted building counts
fields = {
0 : QgsField(GID_FIELD_NAME, QVariant.String),
1 : QgsField(zone_field, QVariant.String),
2 : QgsField(CNT_FIELD_NAME, QVariant.Double),
3 : QgsField(AREA_FIELD_NAME, QVariant.Double),
}
output_layername = 'grid_%s' % get_unique_filename()
output_file = '%s%s.shp' % (self._tmp_dir, output_layername)
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
for key in zone_stat2.keys():
(grid_gid, zone_gid) = str(key).split("|")
s_zone = zone_stat[QString(zone_gid)] # overall statistics for the zone from zone file (always exists)
s_zone_grid = zone_stat2[key] # grid specific statistic from from zone file (always exists)
if zone_totals.has_key(QString(zone_gid)): # overall statistics for the zone from footprints
s_total = zone_totals[QString(zone_gid)]
else:
s_total = [0,0] # set to zero if missing
if zone_fp_stat.has_key(key): # grid specific statistic from from footprint
s_fp = zone_fp_stat[key]
else:
s_fp = [0, 0] # set to zero if missing
zone_leftover_count = s_zone[cnt_idx] - s_total[cnt_idx]
if zone_has_area:
zone_leftover_area = zone_area[QString(zone_gid)] - s_total[area_idx]
else:
zone_leftover_area = s_zone[area_idx] - s_total[area_idx]
if zone_leftover_count > 0:
# there are still building not accounted for
# distribute to grid based on ratio of grid leftover area over zone leftover area
# (leftover area is area of zone after subtracting footprint areas
grid_leftover_count = zone_leftover_count * ((s_zone_grid[area_idx]-s_fp[area_idx])/zone_leftover_area)
grid_count = s_fp[cnt_idx] + grid_leftover_count
else:
grid_count = s_fp[cnt_idx]
if fp_has_height:
# area can be actual area based on footprint area * height
area = s_fp[area_idx]
elif zone_has_area:
area = s_zone_grid[area_idx]
else:
# no area defined
area = 0 # max(s_zone_grid[area_idx], s_fp[area_idx])
f.setGeometry(self._outputGeometryFromGridId(grid_gid))
f.addAttribute(0, grid_gid)
f.addAttribute(1, zone_names[QString(zone_gid)])
f.addAttribute(2, grid_count)
f.addAttribute(3, area)
writer.addFeature(f)
del writer
# clean up
del tmp_grid_lyr1
del tmp_join_layer
del tmp_join1_layer
remove_shapefile(tmp_grid1_file)
remove_shapefile(tmp_join_file)
remove_shapefile(tmp_join1_file)
# store data in output
self._load_output(output_file, output_layername)
def do_operation(self):
""" perform footprint load operation """
# input/output data checking already done during property set
zone_layer = self.inputs[0].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(zone_layer)
x_off = self._x_off
y_off = self._y_off
extent = zone_layer.extent()
[x_min, y_min, x_max, y_max] = [
extent.xMinimum(),
extent.yMinimum(),
extent.xMaximum(),
extent.yMaximum()
]
# create grid based on extent of given region
tmp_grid1 = 'grid_' + get_unique_filename()
tmp_grid1_file = self._tmp_dir + tmp_grid1 + '.shp'
try:
self._write_grid_shapefile(tmp_grid1_file, x_min, y_min, x_max,
y_max, x_off, y_off)
except:
remove_shapefile(tmp_grid1_file)
raise OperatorError('error creating temporary grid',
self.__class__)
tmp_grid1_layer = load_shapefile(tmp_grid1_file, tmp_grid1)
# temporary grid for joined shape with all grid points not within region removed
tmp_grid2 = 'grid_' + get_unique_filename()
tmp_grid2_file = self._tmp_dir + tmp_grid2 + '.shp'
tmp_grid2_layer = None
try:
analyzer = QgsOverlayAnalyzer()
analyzer.intersection(tmp_grid1_layer, zone_layer, tmp_grid2_file)
tmp_grid2_layer = load_shapefile(tmp_grid2_file, tmp_grid2)
except:
raise OperatorError('error creating grid', self.__class__)
# create result layer
grid_layername = 'grid_%s' % get_unique_filename()
grid_file = self._tmp_dir + grid_layername + '.shp'
try:
writer = QgsVectorFileWriter(grid_file, "utf-8", self._fields,
QGis.WKBPoint, self._crs,
"ESRI Shapefile")
f = QgsFeature()
lon_idx = layer_field_index(tmp_grid2_layer, self._lon_field)
lat_idx = layer_field_index(tmp_grid2_layer, self._lat_field)
for _f in layer_features(tmp_grid2_layer):
lon = _f.attributeMap()[lon_idx].toDouble()[0]
lat = _f.attributeMap()[lat_idx].toDouble()[0]
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
f.addAttribute(0, QVariant(lon))
f.addAttribute(1, QVariant(lat))
writer.addFeature(f)
del writer
except Exception as err:
logAPICall.log(str(err), logAPICall.ERROR)
raise OperatorError('error writing out grid', self.__class__)
grid_layer = load_shapefile(grid_file, grid_layername)
if not grid_layer:
raise OperatorError('Error loading result grid file' % (grid_file),
self.__class__)
# clean up
del analyzer, tmp_grid1_layer, tmp_grid2_layer
remove_shapefile(tmp_grid1_file)
remove_shapefile(tmp_grid2_file)
self.outputs[0].value = grid_layer
self.outputs[1].value = grid_file
def do_operation(self):
""" perform footprint load operation """
# input/output data checking already done during property set
zone_layer = self.inputs[0].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(zone_layer)
x_off = self._x_off
y_off = self._y_off
extent = zone_layer.extent()
[x_min, y_min, x_max, y_max] = [extent.xMinimum(), extent.yMinimum(), extent.xMaximum(), extent.yMaximum()]
# create grid based on extent of given region
tmp_grid1 = 'grid_' + get_unique_filename()
tmp_grid1_file = self._tmp_dir + tmp_grid1 + '.shp'
try:
self._write_grid_shapefile(tmp_grid1_file,
x_min, y_min, x_max, y_max,
x_off, y_off)
except:
remove_shapefile(tmp_grid1_file)
raise OperatorError('error creating temporary grid', self.__class__)
tmp_grid1_layer = load_shapefile(tmp_grid1_file, tmp_grid1)
# temporary grid for joined shape with all grid points not within region removed
tmp_grid2 = 'grid_' + get_unique_filename()
tmp_grid2_file = self._tmp_dir + tmp_grid2 + '.shp'
tmp_grid2_layer = None
try:
analyzer = QgsOverlayAnalyzer()
analyzer.intersection(tmp_grid1_layer, zone_layer, tmp_grid2_file)
tmp_grid2_layer = load_shapefile(tmp_grid2_file, tmp_grid2)
except:
raise OperatorError('error creating grid', self.__class__)
# create result layer
grid_layername = 'grid_%s' % get_unique_filename()
grid_file = self._tmp_dir + grid_layername + '.shp'
try:
writer = QgsVectorFileWriter(grid_file, "utf-8", self._fields,
QGis.WKBPoint, self._crs, "ESRI Shapefile")
f = QgsFeature()
lon_idx = layer_field_index(tmp_grid2_layer, self._lon_field)
lat_idx = layer_field_index(tmp_grid2_layer, self._lat_field)
for _f in layer_features(tmp_grid2_layer):
lon = _f.attributeMap()[lon_idx].toDouble()[0]
lat = _f.attributeMap()[lat_idx].toDouble()[0]
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
f.addAttribute(0, QVariant(lon))
f.addAttribute(1, QVariant(lat))
writer.addFeature(f)
del writer
except Exception as err:
logAPICall.log(str(err), logAPICall.ERROR)
raise OperatorError('error writing out grid', self.__class__)
grid_layer = load_shapefile(grid_file, grid_layername)
if not grid_layer:
raise OperatorError('Error loading result grid file' % (grid_file), self.__class__)
# clean up
del analyzer, tmp_grid1_layer, tmp_grid2_layer
remove_shapefile(tmp_grid1_file)
remove_shapefile(tmp_grid2_file)
self.outputs[0].value = grid_layer
self.outputs[1].value = grid_file
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
popgrid_layer = self.inputs[2].value
pop_to_bldg = float(self.inputs[3].value)
# merge with zone
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
analyzer = QgsOverlayAnalyzer()
try:
analyzer.intersection(popgrid_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# count footprint in each zone
stats = {}
_gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME + "_")
_cnt_idx = layer_field_index(tmp_join_layer, CNT_FIELD_NAME)
for _f in layer_features(tmp_join_layer):
# retrieve count from statistic
_gid = _f.attributeMap()[_gid_idx].toString()
_count = _f.attributeMap()[_cnt_idx].toString()
if stats.has_key(_gid):
stats[_gid]+=float(_count) / pop_to_bldg
else:
stats[_gid]=float(_count) / pop_to_bldg
output_layername = 'zone_%s' % get_unique_filename()
output_file = '%s%s.shp' % (self._tmp_dir, output_layername)
logAPICall.log('create outputfile %s ... ' % output_file, logAPICall.DEBUG)
try:
fields ={
0 : QgsField(GID_FIELD_NAME, QVariant.Int),
1 : QgsField(zone_field, QVariant.String),
2 : QgsField(CNT_FIELD_NAME, QVariant.Int),
}
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(zone_layer):
# write to file
f.setGeometry(_f.geometry())
f.addAttribute(0, _f.attributeMap()[0])
f.addAttribute(1, _f.attributeMap()[1])
# retrieve count from statistic
try:
gid = _f.attributeMap()[0].toString()
bldg_count = stats[gid]
except:
bldg_count = 0
f.addAttribute(2, QVariant(bldg_count))
writer.addFeature(f)
del writer, f
except Exception as err:
remove_shapefile(output_file)
raise OperatorError("error creating zone: %s" % err, self.__class__)
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
# store data in output
output_layer = load_shapefile(output_file, output_layername)
if not output_layer:
raise OperatorError('Error loading footprint centroid file' % (output_file), self.__class__)
self.outputs[0].value = output_layer
self.outputs[1].value = output_file