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Algorithms and other processing code should use this method (instead of dataobjects.getLayerFromString) to retrieve layers from a string, as it considers the processing context and allows resolving strings to temporarily stored layers. This permits processing models to function correctly when intermediate results are stored as memory layers. Subsequent model algorithms can then access these temporary layers as inputs. All temporary layers will be removed when the context object is destroyed after the model algorithm is run.
229 lines
8.5 KiB
Python
229 lines
8.5 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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HypsometricCurves.py
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---------------------
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Date : November 2014
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Copyright : (C) 2014 by Alexander Bruy
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Email : alexander dot bruy at gmail dot com
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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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from builtins import str
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__author__ = 'Alexander Bruy'
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__date__ = 'November 2014'
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__copyright__ = '(C) 2014, Alexander Bruy'
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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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import numpy
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from osgeo import gdal, ogr, osr
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from qgis.core import (QgsRectangle,
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QgsGeometry,
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QgsApplication,
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QgsProcessingUtils)
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from processing.core.GeoAlgorithm import GeoAlgorithm
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from processing.core.parameters import ParameterRaster
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from processing.core.parameters import ParameterVector
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from processing.core.parameters import ParameterNumber
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from processing.core.parameters import ParameterBoolean
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from processing.core.outputs import OutputDirectory
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from processing.tools import raster, vector, dataobjects
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class HypsometricCurves(GeoAlgorithm):
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INPUT_DEM = 'INPUT_DEM'
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BOUNDARY_LAYER = 'BOUNDARY_LAYER'
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STEP = 'STEP'
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USE_PERCENTAGE = 'USE_PERCENTAGE'
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OUTPUT_DIRECTORY = 'OUTPUT_DIRECTORY'
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def icon(self):
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return QgsApplication.getThemeIcon("/providerQgis.svg")
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def svgIconPath(self):
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return QgsApplication.iconPath("providerQgis.svg")
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def group(self):
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return self.tr('Raster tools')
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def name(self):
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return 'hypsometriccurves'
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def displayName(self):
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return self.tr('Hypsometric curves')
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def defineCharacteristics(self):
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self.addParameter(ParameterRaster(self.INPUT_DEM,
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self.tr('DEM to analyze')))
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self.addParameter(ParameterVector(self.BOUNDARY_LAYER,
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self.tr('Boundary layer'), dataobjects.TYPE_VECTOR_POLYGON))
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self.addParameter(ParameterNumber(self.STEP,
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self.tr('Step'), 0.0, 999999999.999999, 100.0))
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self.addParameter(ParameterBoolean(self.USE_PERCENTAGE,
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self.tr('Use % of area instead of absolute value'), False))
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self.addOutput(OutputDirectory(self.OUTPUT_DIRECTORY,
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self.tr('Hypsometric curves')))
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def processAlgorithm(self, context, feedback):
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rasterPath = self.getParameterValue(self.INPUT_DEM)
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layer = dataobjects.QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.BOUNDARY_LAYER), context)
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step = self.getParameterValue(self.STEP)
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percentage = self.getParameterValue(self.USE_PERCENTAGE)
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outputPath = self.getOutputValue(self.OUTPUT_DIRECTORY)
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rasterDS = gdal.Open(rasterPath, gdal.GA_ReadOnly)
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geoTransform = rasterDS.GetGeoTransform()
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rasterBand = rasterDS.GetRasterBand(1)
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noData = rasterBand.GetNoDataValue()
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cellXSize = abs(geoTransform[1])
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cellYSize = abs(geoTransform[5])
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rasterXSize = rasterDS.RasterXSize
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rasterYSize = rasterDS.RasterYSize
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rasterBBox = QgsRectangle(geoTransform[0],
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geoTransform[3] - cellYSize * rasterYSize,
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geoTransform[0] + cellXSize * rasterXSize,
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geoTransform[3])
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rasterGeom = QgsGeometry.fromRect(rasterBBox)
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crs = osr.SpatialReference()
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crs.ImportFromProj4(str(layer.crs().toProj4()))
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memVectorDriver = ogr.GetDriverByName('Memory')
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memRasterDriver = gdal.GetDriverByName('MEM')
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features = QgsProcessingUtils.getFeatures(layer, context)
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total = 100.0 / QgsProcessingUtils.featureCount(layer, context)
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for current, f in enumerate(features):
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geom = f.geometry()
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intersectedGeom = rasterGeom.intersection(geom)
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if intersectedGeom.isEmpty():
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feedback.pushInfo(
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self.tr('Feature {0} does not intersect raster or '
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'entirely located in NODATA area').format(f.id()))
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continue
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fName = os.path.join(
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outputPath, 'hystogram_%s_%s.csv' % (layer.name(), f.id()))
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ogrGeom = ogr.CreateGeometryFromWkt(intersectedGeom.exportToWkt())
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bbox = intersectedGeom.boundingBox()
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xMin = bbox.xMinimum()
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xMax = bbox.xMaximum()
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yMin = bbox.yMinimum()
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yMax = bbox.yMaximum()
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(startColumn, startRow) = raster.mapToPixel(xMin, yMax, geoTransform)
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(endColumn, endRow) = raster.mapToPixel(xMax, yMin, geoTransform)
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width = endColumn - startColumn
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height = endRow - startRow
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srcOffset = (startColumn, startRow, width, height)
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srcArray = rasterBand.ReadAsArray(*srcOffset)
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if srcOffset[2] == 0 or srcOffset[3] == 0:
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feedback.pushInfo(
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self.tr('Feature {0} is smaller than raster '
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'cell size').format(f.id()))
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continue
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newGeoTransform = (
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geoTransform[0] + srcOffset[0] * geoTransform[1],
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geoTransform[1],
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0.0,
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geoTransform[3] + srcOffset[1] * geoTransform[5],
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0.0,
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geoTransform[5]
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)
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memVDS = memVectorDriver.CreateDataSource('out')
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memLayer = memVDS.CreateLayer('poly', crs, ogr.wkbPolygon)
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ft = ogr.Feature(memLayer.GetLayerDefn())
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ft.SetGeometry(ogrGeom)
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memLayer.CreateFeature(ft)
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ft.Destroy()
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rasterizedDS = memRasterDriver.Create('', srcOffset[2],
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srcOffset[3], 1, gdal.GDT_Byte)
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rasterizedDS.SetGeoTransform(newGeoTransform)
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gdal.RasterizeLayer(rasterizedDS, [1], memLayer, burn_values=[1])
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rasterizedArray = rasterizedDS.ReadAsArray()
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srcArray = numpy.nan_to_num(srcArray)
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masked = numpy.ma.MaskedArray(srcArray,
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mask=numpy.logical_or(srcArray == noData,
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numpy.logical_not(rasterizedArray)))
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self.calculateHypsometry(f.id(), fName, feedback, masked,
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cellXSize, cellYSize, percentage, step)
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memVDS = None
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rasterizedDS = None
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feedback.setProgress(int(current * total))
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rasterDS = None
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def calculateHypsometry(self, fid, fName, feedback, data, pX, pY,
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percentage, step):
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out = dict()
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d = data.compressed()
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if d.size == 0:
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feedback.pushInfo(
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self.tr('Feature {0} does not intersect raster or '
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'entirely located in NODATA area').format(fid))
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return
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minValue = d.min()
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maxValue = d.max()
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startValue = minValue
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tmpValue = minValue + step
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while startValue < maxValue:
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out[tmpValue] = ((startValue <= d) & (d < tmpValue)).sum()
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startValue = tmpValue
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tmpValue += step
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if percentage:
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multiplier = 100.0 / len(d.flat)
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else:
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multiplier = pX * pY
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for k, v in list(out.items()):
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out[k] = v * multiplier
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prev = None
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for i in sorted(out.items()):
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if prev is None:
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out[i[0]] = i[1]
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else:
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out[i[0]] = i[1] + out[prev]
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prev = i[0]
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writer = vector.TableWriter(fName, 'utf-8', [self.tr('Area'), self.tr('Elevation')])
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for i in sorted(out.items()):
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writer.addRecord([i[1], i[0]])
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del writer
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