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git-svn-id: http://sextante.googlecode.com/svn/trunk/soft/bindings/qgis-plugin@312 881b9c09-3ef8-f3c2-ec3d-21d735c97f4d
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alexander.bruy@gmail.com
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Jul 26, 2012
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import os.path | ||
import csv | ||
import math | ||
import codecs | ||
import cStringIO | ||
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from PyQt4 import QtGui | ||
from qgis.core import * | ||
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from sextante.core.GeoAlgorithm import GeoAlgorithm | ||
from sextante.core.QGisLayers import QGisLayers | ||
from sextante.core.GeoAlgorithmExecutionException import GeoAlgorithmExecutionException | ||
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from sextante.parameters.ParameterNumber import ParameterNumber | ||
from sextante.parameters.ParameterVector import ParameterVector | ||
from sextante.parameters.ParameterSelection import ParameterSelection | ||
from sextante.parameters.ParameterTableField import ParameterTableField | ||
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from sextante.outputs.OutputFile import OutputFile | ||
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class PointDistance(GeoAlgorithm): | ||
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INPUT_LAYER = "INPUT_LAYER" | ||
INPUT_FIELD = "INPUT_FIELD" | ||
TARGET_LAYER = "TARGET_LAYER" | ||
TARGET_FIELD = "TARGET_FIELD" | ||
MATRIX_TYPE = "MATRIX_TYPE" | ||
NEAREST_POINTS = "NEAREST_POINTS" | ||
DISTANCE_MATRIX = "DISTANCE_MATRIX" | ||
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MAT_TYPES = ["Linear (N*k x 3) distance matrix", | ||
"Standard (N x T) distance matrix", | ||
"Summary distance matrix (mean, std. dev., min, max)" | ||
] | ||
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def getIcon(self): | ||
return QtGui.QIcon(os.path.dirname(__file__) + "/icons/matrix.png") | ||
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def defineCharacteristics(self): | ||
self.name = "Distance matrix" | ||
self.group = "Analysis tools" | ||
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self.addParameter(ParameterVector(PointDistance.INPUT_LAYER, "Input point layer", ParameterVector.VECTOR_TYPE_POINT)) | ||
self.addParameter(ParameterTableField(PointDistance.INPUT_FIELD, "Input unique ID field", PointDistance.INPUT_LAYER, ParameterTableField.DATA_TYPE_ANY)) | ||
self.addParameter(ParameterVector(PointDistance.TARGET_LAYER, "Target point layer", ParameterVector.VECTOR_TYPE_POINT)) | ||
self.addParameter(ParameterTableField(PointDistance.TARGET_FIELD, "Target unique ID field", PointDistance.TARGET_LAYER, ParameterTableField.DATA_TYPE_ANY)) | ||
self.addParameter(ParameterSelection(PointDistance.MATRIX_TYPE, "Output matrix type", PointDistance.MAT_TYPES, 0)) | ||
self.addParameter(ParameterNumber(PointDistance.NEAREST_POINTS, "Use only the nearest (k) target points", 0, 9999, 0)) | ||
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self.addOutput(OutputFile(PointDistance.DISTANCE_MATRIX, "Distance matrix")) | ||
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def processAlgorithm(self, progress): | ||
inLayer = QGisLayers.getObjectFromUri(self.getParameterValue(PointDistance.INPUT_LAYER)) | ||
inField = self.getParameterValue(PointDistance.INPUT_FIELD) | ||
targetLayer = QGisLayers.getObjectFromUri(self.getParameterValue(PointDistance.TARGET_LAYER)) | ||
targetField = self.getParameterValue(PointDistance.TARGET_FIELD) | ||
matType = self.getParameterValue(PointDistance.MATRIX_TYPE) | ||
nPoints = self.getParameterValue(PointDistance.NEAREST_POINTS) | ||
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outputFile = self.getOutputValue(PointDistance.DISTANCE_MATRIX) | ||
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if nPoints < 1: | ||
nPoints = targetLayer.featureCount() | ||
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# prepare CSV file writer | ||
csvFile = open(outputFile, "wb") | ||
self.writer = UnicodeWriter(csvFile) | ||
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if matType == 0: # Linear distance matrix | ||
self.linearMatrix(inLayer, inField, targetLayer, targetField, matType, nPoints, progress) | ||
elif matType == 1: # Standard distance matrix | ||
self.regularMatrix(inLayer, inField, targetLayer, targetField, nPoints, progress) | ||
elif matType == 2: # Summary distance matrix | ||
self.linearMatrix(inLayer, inField, targetLayer, targetField, matType, nPoints, progress) | ||
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csvFile.close() | ||
del self.writer | ||
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def linearMatrix(self, inLayer, inField, targetLayer, targetField, matType, nPoints, progress): | ||
if matType == 0: | ||
self.writer.writerow(["InputID", "TargetID", "Distance"]) | ||
else: | ||
self.writer.writerow(["InputID", "MEAN", "STDDEV", "MIN", "MAX"]) | ||
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inProvider = inLayer.dataProvider() | ||
targetProvider = targetLayer.dataProvider() | ||
targetProvider.select() | ||
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index = QgsSpatialIndex() | ||
inFeat = QgsFeature() | ||
while targetProvider.nextFeature(inFeat): | ||
index.insertFeature(inFeat) | ||
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inIdx = inLayer.fieldNameIndex(inField) | ||
inProvider.select([inIdx]) | ||
outIdx = targetLayer.fieldNameIndex(inField) | ||
targetProvider.rewind() | ||
targetProvider.select([outIdx]) | ||
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outFeat = QgsFeature() | ||
inGeom = QgsGeometry() | ||
outGeom = QgsGeometry() | ||
distArea = QgsDistanceArea() | ||
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current = 0 | ||
count = inLayer.featureCount() | ||
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while inProvider.nextFeature(inFeat): | ||
inGeom = inFeat.geometry() | ||
inID = inFeat.attributeMap()[inIdx].toString() | ||
featList = index.nearestNeighbor(inGeom.asPoint(), nPoints) | ||
distList = [] | ||
vari = 0.0 | ||
for i in featList: | ||
targetProvider.featureAtId(i, outFeat, True, [outIdx]) | ||
outID = outFeat.attributeMap()[outIdx].toString() | ||
outGeom = outFeat.geometry() | ||
dist = distArea.measureLine(inGeom.asPoint(), outGeom.asPoint()) | ||
if matType == 0: | ||
self.writer.writerow([unicode(inID), unicode(outID), unicode(dist)]) | ||
else: | ||
distList.append(float(dist)) | ||
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if matType == 2: | ||
mean = sum(distList) / len(distList) | ||
for i in distList: | ||
vari += (i - mean) * (i - mean) | ||
vari = math.sqrt(vari / len(distList)) | ||
self.writer.writerow([unicode(inID), unicode(mean), unicode(vari), unicode(min(distList)), unicode(max(distList))]) | ||
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current += 1 | ||
progress.setPercentage(int(current/count * 100)) | ||
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def regularMatrix(self, inLayer, inField, targetLayer, targetField, nPoints, progress): | ||
inProvider = inLayer.dataProvider() | ||
targetProvider = targetLayer.dataProvider() | ||
targetProvider.select() | ||
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index = QgsSpatialIndex() | ||
inFeat = QgsFeature() | ||
while targetProvider.nextFeature(inFeat): | ||
index.insertFeature(inFeat) | ||
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inIdx = inLayer.fieldNameIndex(inField) | ||
inProvider.select([inIdx]) | ||
outIdx = targetLayer.fieldNameIndex(inField) | ||
targetProvider.rewind() | ||
targetProvider.select([outIdx]) | ||
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outFeat = QgsFeature() | ||
inGeom = QgsGeometry() | ||
outGeom = QgsGeometry() | ||
distArea = QgsDistanceArea() | ||
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first = True | ||
current = 0 | ||
count = inLayer.featureCount() | ||
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while inProvider.nextFeature(inFeat): | ||
inGeom = inFeat.geometry() | ||
inID = inFeat.attributeMap()[inIdx].toString() | ||
if first: | ||
featList = index.nearestNeighbor(inGeom.asPoint(), nPoints) | ||
first = False | ||
data = ["ID"] | ||
for i in featList: | ||
targetProvider.featureAtId(i, outFeat, True, [outIdx]) | ||
data.append(unicode(outFeat.attributeMap()[outIdx].toString())) | ||
self.writer.writerow(data) | ||
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data = [unicode(inID)] | ||
for i in featList: | ||
targetProvider.featureAtId(i, outFeat, True) | ||
outGeom = outFeat.geometry() | ||
dist = distArea.measureLine(inGeom.asPoint(), outGeom.asPoint()) | ||
data.append(unicode(float(dist))) | ||
self.writer.writerow(data) | ||
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current += 1 | ||
progress.setPercentage(int(current/count * 100)) | ||
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class UnicodeWriter: | ||
def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds): | ||
self.queue = cStringIO.StringIO() | ||
self.writer = csv.writer(self.queue, dialect=dialect, **kwds) | ||
self.stream = f | ||
self.encoder = codecs.getincrementalencoder(encoding)() | ||
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def writerow(self, row): | ||
try: | ||
self.writer.writerow([s.encode("utf-8") for s in row]) | ||
except: | ||
self.writer.writerow(row) | ||
data = self.queue.getvalue() | ||
data = data.decode("utf-8") | ||
data = self.encoder.encode(data) | ||
self.stream.write(data) | ||
self.queue.truncate(0) | ||
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def writerows(self, rows): | ||
for row in rows: | ||
self.writerow(row) |