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06c4b07222
Since the layer has more complete knowledge of the crs (ie, when provider could not determine crs and user has selected it from the list), and also better knowledge of layer fields (virtual fields, joined fields) we should use these rather than the provider methods.
268 lines
11 KiB
Python
268 lines
11 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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SpatialJoin.py
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---------------------
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Date : October 2013
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Copyright : (C) 2013 by Joshua Arnott
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Email : josh at snorfalorpagus dot net
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***************************************************************************
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* *
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* This program is free software; you can redistribute it and/or modify *
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* it under the terms of the GNU General Public License as published by *
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* the Free Software Foundation; either version 2 of the License, or *
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* (at your option) any later version. *
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* *
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***************************************************************************
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"""
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__author__ = 'Joshua Arnott'
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__date__ = 'October 2013'
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__copyright__ = '(C) 2013, Joshua Arnott'
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# This will get replaced with a git SHA1 when you do a git archive
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__revision__ = '$Format:%H$'
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import os
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from qgis.PyQt.QtGui import QIcon
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from qgis.PyQt.QtCore import QVariant
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from qgis.core import Qgis, QgsFields, QgsField, QgsFeature, QgsGeometry, NULL, QgsWkbTypes
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from processing.core.GeoAlgorithm import GeoAlgorithm
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from processing.core.parameters import ParameterVector
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from processing.core.parameters import ParameterGeometryPredicate
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from processing.core.parameters import ParameterNumber
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from processing.core.parameters import ParameterSelection
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from processing.core.parameters import ParameterString
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from processing.core.outputs import OutputVector
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from processing.tools import dataobjects, vector
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pluginPath = os.path.split(os.path.split(os.path.dirname(__file__))[0])[0]
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class SpatialJoin(GeoAlgorithm):
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TARGET = "TARGET"
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JOIN = "JOIN"
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PREDICATE = "PREDICATE"
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PRECISION = 'PRECISION'
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SUMMARY = "SUMMARY"
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STATS = "STATS"
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KEEP = "KEEP"
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OUTPUT = "OUTPUT"
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def getIcon(self):
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return QIcon(os.path.join(pluginPath, 'images', 'ftools', 'join_location.png'))
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def defineCharacteristics(self):
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self.name, self.i18n_name = self.trAlgorithm('Join attributes by location')
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self.group, self.i18n_group = self.trAlgorithm('Vector general tools')
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self.summarys = [
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self.tr('Take attributes of the first located feature'),
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self.tr('Take summary of intersecting features')
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]
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self.keeps = [
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self.tr('Only keep matching records'),
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self.tr('Keep all records (including non-matching target records)')
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]
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self.addParameter(ParameterVector(self.TARGET,
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self.tr('Target vector layer'),
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[ParameterVector.VECTOR_TYPE_ANY]))
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self.addParameter(ParameterVector(self.JOIN,
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self.tr('Join vector layer'),
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[ParameterVector.VECTOR_TYPE_ANY]))
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predicates = list(ParameterGeometryPredicate.predicates)
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predicates.remove('disjoint')
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self.addParameter(ParameterGeometryPredicate(self.PREDICATE,
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self.tr('Geometric predicate'),
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left=self.TARGET, right=self.JOIN,
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enabledPredicates=predicates))
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self.addParameter(ParameterNumber(self.PRECISION,
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self.tr('Precision'),
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0.0, None, 0.0))
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self.addParameter(ParameterSelection(self.SUMMARY,
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self.tr('Attribute summary'), self.summarys))
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self.addParameter(ParameterString(self.STATS,
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self.tr('Statistics for summary (comma separated)'),
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'sum,mean,min,max,median', optional=True))
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self.addParameter(ParameterSelection(self.KEEP,
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self.tr('Joined table'), self.keeps))
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self.addOutput(OutputVector(self.OUTPUT, self.tr('Joined layer')))
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def processAlgorithm(self, progress):
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target = dataobjects.getObjectFromUri(
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self.getParameterValue(self.TARGET))
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join = dataobjects.getObjectFromUri(
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self.getParameterValue(self.JOIN))
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predicates = self.getParameterValue(self.PREDICATE)
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precision = self.getParameterValue(self.PRECISION)
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summary = self.getParameterValue(self.SUMMARY) == 1
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keep = self.getParameterValue(self.KEEP) == 1
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sumList = self.getParameterValue(self.STATS).lower().split(',')
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targetFields = target.fields()
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joinFields = join.fields()
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fieldList = QgsFields()
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if not summary:
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joinFields = vector.testForUniqueness(targetFields, joinFields)
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seq = range(len(targetFields) + len(joinFields))
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targetFields.extend(joinFields)
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targetFields = dict(zip(seq, targetFields))
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else:
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numFields = {}
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for j in xrange(len(joinFields)):
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if joinFields[j].type() in [QVariant.Int, QVariant.Double, QVariant.LongLong, QVariant.UInt, QVariant.ULongLong]:
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numFields[j] = []
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for i in sumList:
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field = QgsField(i + unicode(joinFields[j].name()), QVariant.Double, '', 24, 16)
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fieldList.append(field)
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field = QgsField('count', QVariant.Double, '', 24, 16)
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fieldList.append(field)
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joinFields = vector.testForUniqueness(targetFields, fieldList)
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targetFields.extend(fieldList)
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seq = range(len(targetFields))
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targetFields = dict(zip(seq, targetFields))
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fields = QgsFields()
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for f in targetFields.values():
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fields.append(f)
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writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(
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fields, target.wkbType(), target.crs())
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outFeat = QgsFeature()
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inFeatB = QgsFeature()
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inGeom = QgsGeometry()
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index = vector.spatialindex(join)
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mapP2 = dict()
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features = vector.features(join)
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for f in features:
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mapP2[f.id()] = QgsFeature(f)
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features = vector.features(target)
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total = 100.0 / len(features)
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for c, f in enumerate(features):
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atMap1 = f.attributes()
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outFeat.setGeometry(f.geometry())
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inGeom = vector.snapToPrecision(f.geometry(), precision)
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none = True
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joinList = []
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if inGeom.type() == QgsWkbTypes.PointGeometry:
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bbox = inGeom.buffer(10, 2).boundingBox()
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else:
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bbox = inGeom.boundingBox()
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bufferedBox = vector.bufferedBoundingBox(bbox, 0.51 * precision)
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joinList = index.intersects(bufferedBox)
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if len(joinList) > 0:
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count = 0
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for i in joinList:
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inFeatB = mapP2[i]
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inGeomB = vector.snapToPrecision(inFeatB.geometry(), precision)
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res = False
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for predicate in predicates:
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if predicate == 'intersects':
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res = inGeom.intersects(inGeomB)
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elif predicate == 'contains':
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res = inGeom.contains(inGeomB)
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elif predicate == 'equals':
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res = inGeom.equals(inGeomB)
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elif predicate == 'touches':
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res = inGeom.touches(inGeomB)
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elif predicate == 'overlaps':
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res = inGeom.overlaps(inGeomB)
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elif predicate == 'within':
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res = inGeom.within(inGeomB)
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elif predicate == 'crosses':
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res = inGeom.crosses(inGeomB)
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if res:
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break
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if res:
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count = count + 1
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none = False
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atMap2 = inFeatB.attributes()
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if not summary:
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atMap = atMap1
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atMap2 = atMap2
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atMap.extend(atMap2)
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atMap = dict(zip(seq, atMap))
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break
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else:
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for j in numFields.keys():
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numFields[j].append(atMap2[j])
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if summary and not none:
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atMap = atMap1
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for j in numFields.keys():
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for k in sumList:
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if k == 'sum':
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atMap.append(sum(self._filterNull(numFields[j])))
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elif k == 'mean':
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try:
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nn_count = sum(1 for _ in self._filterNull(numFields[j]))
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atMap.append(sum(self._filterNull(numFields[j])) / nn_count)
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except ZeroDivisionError:
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atMap.append(NULL)
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elif k == 'min':
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try:
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atMap.append(min(self._filterNull(numFields[j])))
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except ValueError:
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atMap.append(NULL)
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elif k == 'median':
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atMap.append(self._median(numFields[j]))
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else:
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try:
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atMap.append(max(self._filterNull(numFields[j])))
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except ValueError:
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atMap.append(NULL)
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numFields[j] = []
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atMap.append(count)
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atMap = dict(zip(seq, atMap))
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if none:
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outFeat.setAttributes(atMap1)
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else:
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outFeat.setAttributes(atMap.values())
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if keep:
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writer.addFeature(outFeat)
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else:
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if not none:
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writer.addFeature(outFeat)
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progress.setPercentage(int(c * total))
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del writer
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def _filterNull(self, values):
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"""Takes an iterator of values and returns a new iterator
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returning the same values but skipping any NULL values"""
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return (v for v in values if v != NULL)
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def _median(self, data):
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count = len(data)
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if count == 1:
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return data[0]
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data.sort()
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median = 0
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if count > 1:
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if (count % 2) == 0:
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median = 0.5 * ((data[count / 2 - 1]) + (data[count / 2]))
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else:
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median = data[(count + 1) / 2 - 1]
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return median
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