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247 lines
11 KiB
Python
247 lines
11 KiB
Python
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#-----------------------------------------------------------
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#
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# fTools
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# Copyright (C) 2008-2011 Carson Farmer
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# EMAIL: carson.farmer (at) gmail.com
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# WEB : http://www.ftools.ca/fTools.html
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#
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# A collection of data management and analysis tools for vector data
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#
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#-----------------------------------------------------------
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#
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# licensed under the terms of GNU GPL 2
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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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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License along
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# with this program; if not, write to the Free Software Foundation, Inc.,
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# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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#
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#---------------------------------------------------------------------
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from PyQt4.QtCore import *
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from PyQt4.QtGui import *
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from qgis.core import *
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from ui_frmPointDistance import Ui_Dialog
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import csv, codecs, cStringIO
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import ftools_utils
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from math import *
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class UnicodeWriter:
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"""
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A CSV writer which will write rows to CSV file "f",
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which is encoded in the given encoding.
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Taken from http://docs.python.org/library/csv.html
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to allow handling of non-ascii output
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"""
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def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
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# Redirect output to a queue
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self.queue = cStringIO.StringIO()
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self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
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self.stream = f
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self.encoder = codecs.getincrementalencoder(encoding)()
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def writerow(self, row):
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try:
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self.writer.writerow([s.encode("utf-8") for s in row])
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except:
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self.writer.writerow(row)
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# Fetch UTF-8 output from the queue ...
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data = self.queue.getvalue()
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data = data.decode("utf-8")
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# ... and re-encode it into the target encoding
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data = self.encoder.encode(data)
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# write to the target stream
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self.stream.write(data)
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# empty queue
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self.queue.truncate(0)
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def writerows(self, rows):
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for row in rows:
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self.writerow(row)
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class Dialog(QDialog, Ui_Dialog):
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def __init__(self, iface):
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QDialog.__init__(self, iface.mainWindow())
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self.iface = iface
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# Set up the user interface from Designer.
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self.setupUi(self)
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QObject.connect(self.btnFile, SIGNAL("clicked()"), self.saveFile)
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QObject.connect(self.inPoint1, SIGNAL("currentIndexChanged(QString)"), self.update1)
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QObject.connect(self.inPoint2, SIGNAL("currentIndexChanged(QString)"), self.update2)
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self.buttonOk = self.buttonBox_2.button( QDialogButtonBox.Ok )
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# populate layer list
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self.setWindowTitle(self.tr("Distance matrix"))
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self.progressBar.setValue(0)
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mapCanvas = self.iface.mapCanvas()
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layers = ftools_utils.getLayerNames( [ QGis.Point ] )
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self.inPoint1.addItems(layers)
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self.inPoint2.addItems(layers)
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def update1(self, inputLayer):
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self.inField1.clear()
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changedLayer = ftools_utils.getVectorLayerByName(unicode(inputLayer))
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changedField = ftools_utils.getFieldList(changedLayer)
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for f in changedField:
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if f.type() == QVariant.Int or f.type() == QVariant.String:
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self.inField1.addItem(unicode(f.name()))
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def update2(self, inputLayer):
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self.inField2.clear()
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changedLayer = ftools_utils.getVectorLayerByName(unicode(inputLayer))
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changedField = ftools_utils.getFieldList(changedLayer)
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for f in changedField:
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if f.type() == QVariant.Int or f.type() == QVariant.String:
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self.inField2.addItem(unicode(f.name()))
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def accept(self):
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self.buttonOk.setEnabled( False )
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if self.inPoint1.currentText() == "":
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QMessageBox.information(self, self.tr("Create Point Distance Matrix"), self.tr("Please specify input point layer"))
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elif self.outFile.text() == "":
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QMessageBox.information(self, self.tr("Create Point Distance Matrix"), self.tr("Please specify output file"))
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elif self.inPoint2.currentText() == "":
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QMessageBox.information(self, self.tr("Create Point Distance Matrix"), self.tr("Please specify target point layer"))
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elif self.inField1.currentText() == "":
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QMessageBox.information(self, self.tr("Create Point Distance Matrix"), self.tr("Please specify input unique ID field"))
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elif self.inField2.currentText() == "":
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QMessageBox.information(self, self.tr("Create Point Distance Matrix"), self.tr("Please specify target unique ID field"))
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else:
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point1 = self.inPoint1.currentText()
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point2 = self.inPoint2.currentText()
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field1 = self.inField1.currentText()
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field2 = self.inField2.currentText()
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outPath = self.outFile.text()
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if self.rdoLinear.isChecked(): matType = "Linear"
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elif self.rdoStandard.isChecked(): matType = "Standard"
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else: matType = "Summary"
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if self.chkNearest.isChecked(): nearest = self.spnNearest.value()
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else: nearest = 0
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if outPath.contains("\\"):
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outName = outPath.right((outPath.length() - outPath.lastIndexOf("\\")) - 1)
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else:
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outName = outPath.right((outPath.length() - outPath.lastIndexOf("/")) - 1)
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if outName.endsWith(".csv"):
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outName = outName.left(outName.length() - 4)
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self.outFile.clear()
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self.compute(point1, point2, field1, field2, outPath, matType, nearest, self.progressBar)
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self.progressBar.setValue(100)
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addToTOC = QMessageBox.information(self, "Create Point Distance Matrix", self.tr("Created output matrix:\n") + outPath)
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self.progressBar.setValue(0)
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self.buttonOk.setEnabled( True )
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def saveFile(self):
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self.outFile.clear()
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fileDialog = QFileDialog()
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outName = fileDialog.getSaveFileName(self, "Output Distance Matrix",".", "Delimited txt file (*.csv)")
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fileCheck = QFile(outName)
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filePath = QFileInfo(outName).absoluteFilePath()
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if filePath.right(4) != ".csv": filePath = filePath + ".csv"
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if not outName.isEmpty():
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self.outFile.insert(filePath)
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def compute(self, line1, line2, field1, field2, outPath, matType, nearest, progressBar):
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layer1 = ftools_utils.getVectorLayerByName(line1)
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layer2 = ftools_utils.getVectorLayerByName(line2)
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provider1 = layer1.dataProvider()
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provider2 = layer2.dataProvider()
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sindex = QgsSpatialIndex()
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inFeat = QgsFeature()
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fit2 = provider2.getFeatures()
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while fit2.nextFeature(inFeat):
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sindex.insertFeature(inFeat)
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if nearest < 1: nearest = layer2.featureCount()
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else: nearest = nearest
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index1 = provider1.fieldNameIndex(field1)
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index2 = provider2.fieldNameIndex(field2)
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sRs = provider1.crs()
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distArea = QgsDistanceArea()
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#use srs of the first layer (users should ensure that they are both in the same projection)
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#distArea.setSourceSRS(sRs)
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f = open(unicode(outPath), "wb")
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writer = UnicodeWriter(f)
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if matType <> "Standard":
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if matType == "Linear":
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writer.writerow(["InputID", "TargetID", "Distance"])
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else:
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writer.writerow(["InputID", "MEAN", "STDDEV", "MIN", "MAX"])
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self.linearMatrix(writer, provider1, provider2, index1, index2, nearest, distArea, matType, sindex, progressBar)
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else:
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self.regularMatrix(writer, provider1, provider2, index1, index2, nearest, distArea, sindex, progressBar)
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f.close()
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def regularMatrix(self, writer, provider1, provider2, index1, index2, nearest, distArea, sindex, progressBar):
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inFeat = QgsFeature()
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outFeat = QgsFeature()
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inGeom = QgsGeometry()
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outGeom = QgsGeometry()
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first = True
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start = 15.00
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add = 85.00 / provider1.featureCount()
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fit1 = provider1.getFeatures()
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while fit1.nextFeature(inFeat):
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inGeom = inFeat.geometry()
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inID = inFeat.attributes()[index1].toString()
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if first:
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featList = sindex.nearestNeighbor(inGeom.asPoint(), nearest)
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first = False
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data = ["ID"]
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for i in featList:
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provider2.getFeatures( QgsFeatureRequest().setFilterFid( int(i) ).setSubsetOfAttributes([index2]) ).nextFeature( outFeat )
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data.append(unicode(outFeat.attributes()[index2].toString()))
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writer.writerow(data)
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data = [unicode(inID)]
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for j in featList:
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provider2.getFeatures( QgsFeatureRequest().setFilterFid( int(j) ) ).nextFeature( outFeat )
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outGeom = outFeat.geometry()
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dist = distArea.measureLine(inGeom.asPoint(), outGeom.asPoint())
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data.append(str(float(dist)))
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writer.writerow(data)
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start = start + add
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progressBar.setValue(start)
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del writer
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def linearMatrix(self, writer, provider1, provider2, index1, index2, nearest, distArea, matType, sindex, progressBar):
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inFeat = QgsFeature()
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outFeat = QgsFeature()
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inGeom = QgsGeometry()
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outGeom = QgsGeometry()
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start = 15.00
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add = 85.00 / provider1.featureCount()
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fit1 = provider1.getFeatures()
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while fit1.nextFeature(inFeat):
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inGeom = inFeat.geometry()
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inID = inFeat.attributes()[index1].toString()
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featList = sindex.nearestNeighbor(inGeom.asPoint(), nearest)
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distList = []
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vari = 0.00
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for i in featList:
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provider2.getFeatures( QgsFeatureRequest().setFilterFid( int(i) ).setSubsetOfAttributes([index2]) ).nextFeature( outFeat )
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outID = outFeat.attributes()[index2].toString()
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outGeom = outFeat.geometry()
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dist = distArea.measureLine(inGeom.asPoint(), outGeom.asPoint())
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if dist > 0:
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if matType == "Linear": writer.writerow([unicode(inID), unicode(outID), str(dist)])
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else: distList.append(float(dist))
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if matType == "Summary":
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mean = sum(distList) / len(distList)
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for i in distList:
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vari = vari + ((i - mean)*(i - mean))
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vari = sqrt(vari / len(distList))
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writer.writerow([unicode(inID), str(mean), str(vari), str(min(distList)), str(max(distList))])
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start = start + add
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progressBar.setValue(start)
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del writer
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