# -*- coding: utf-8 -*- """ *************************************************************************** Heatmap.py --------------------- Date : November 2016 Copyright : (C) 2016 by Nyall Dawson Email : nyall dot dawson at gmail dot com *************************************************************************** * * * This program is free software; you can redistribute it and/or modify * * it under the terms of the GNU General Public License as published by * * the Free Software Foundation; either version 2 of the License, or * * (at your option) any later version. * * * *************************************************************************** """ __author__ = 'Nyall Dawson' __date__ = 'November 2016' __copyright__ = '(C) 2016, Nyall Dawson' # This will get replaced with a git SHA1 when you do a git archive __revision__ = '$Format:%H$' import os from collections import OrderedDict from qgis.PyQt.QtGui import QIcon from qgis.core import (QgsFeatureRequest, QgsRasterFileWriter, QgsProcessing, QgsProcessingException, QgsProcessingParameterFeatureSource, QgsProcessingParameterNumber, QgsProcessingParameterField, QgsProcessingParameterEnum, QgsProcessingParameterDefinition, QgsProcessingParameterRasterDestination) from qgis.analysis import QgsKernelDensityEstimation from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm pluginPath = os.path.split(os.path.split(os.path.dirname(__file__))[0])[0] class Heatmap(QgisAlgorithm): INPUT = 'INPUT' RADIUS = 'RADIUS' RADIUS_FIELD = 'RADIUS_FIELD' WEIGHT_FIELD = 'WEIGHT_FIELD' PIXEL_SIZE = 'PIXEL_SIZE' KERNEL = 'KERNEL' DECAY = 'DECAY' OUTPUT_VALUE = 'OUTPUT_VALUE' OUTPUT = 'OUTPUT' def icon(self): return QIcon(os.path.join(pluginPath, 'images', 'heatmap.png')) def tags(self): return self.tr('heatmap,kde,hotspot').split(',') def group(self): return self.tr('Interpolation') def groupId(self): return 'interpolation' def name(self): return 'heatmapkerneldensityestimation' def displayName(self): return self.tr('Heatmap (Kernel Density Estimation)') def __init__(self): super().__init__() def initAlgorithm(self, config=None): self.KERNELS = OrderedDict([(self.tr('Quartic'), QgsKernelDensityEstimation.KernelQuartic), (self.tr('Triangular'), QgsKernelDensityEstimation.KernelTriangular), (self.tr('Uniform'), QgsKernelDensityEstimation.KernelUniform), (self.tr('Triweight'), QgsKernelDensityEstimation.KernelTriweight), (self.tr('Epanechnikov'), QgsKernelDensityEstimation.KernelEpanechnikov)]) self.OUTPUT_VALUES = OrderedDict([(self.tr('Raw'), QgsKernelDensityEstimation.OutputRaw), (self.tr('Scaled'), QgsKernelDensityEstimation.OutputScaled)]) self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT, self.tr('Point layer'), [QgsProcessing.TypeVectorPoint])) self.addParameter(QgsProcessingParameterNumber(self.RADIUS, self.tr('Radius (layer units)'), QgsProcessingParameterNumber.Double, 100.0, False, 0.0, 9999999999.99)) radius_field_param = QgsProcessingParameterField(self.RADIUS_FIELD, self.tr('Radius from field'), None, self.INPUT, QgsProcessingParameterField.Numeric, optional=True ) radius_field_param.setFlags(radius_field_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced) self.addParameter(radius_field_param) class ParameterHeatmapPixelSize(QgsProcessingParameterNumber): def __init__(self, name='', description='', parent_layer=None, radius_param=None, radius_field_param=None, minValue=None, maxValue=None, default=None, optional=False): QgsProcessingParameterNumber.__init__(self, name, description, QgsProcessingParameterNumber.Double, default, optional, minValue, maxValue) self.parent_layer = parent_layer self.radius_param = radius_param self.radius_field_param = radius_field_param def clone(self): copy = ParameterHeatmapPixelSize(self.name(), self.description(), self.parent_layer, self.radius_param, self.radius_field_param, self.minimum(), self.maximum(), self.defaultValue((), self.flags() & QgsProcessingParameterDefinition.FlagOptional)) return copy pixel_size_param = ParameterHeatmapPixelSize(self.PIXEL_SIZE, self.tr('Output raster size'), parent_layer=self.INPUT, radius_param=self.RADIUS, radius_field_param=self.RADIUS_FIELD, minValue=0.0, maxValue=9999999999, default=0.1) pixel_size_param.setMetadata({ 'widget_wrapper': { 'class': 'processing.algs.qgis.ui.HeatmapWidgets.HeatmapPixelSizeWidgetWrapper'}}) self.addParameter(pixel_size_param) weight_field_param = QgsProcessingParameterField(self.WEIGHT_FIELD, self.tr('Weight from field'), None, self.INPUT, QgsProcessingParameterField.Numeric, optional=True ) weight_field_param.setFlags(weight_field_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced) self.addParameter(weight_field_param) keys = list(self.KERNELS.keys()) kernel_shape_param = QgsProcessingParameterEnum(self.KERNEL, self.tr('Kernel shape'), keys, allowMultiple=False, defaultValue=0) kernel_shape_param.setFlags(kernel_shape_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced) self.addParameter(kernel_shape_param) decay_ratio = QgsProcessingParameterNumber(self.DECAY, self.tr('Decay ratio (Triangular kernels only)'), QgsProcessingParameterNumber.Double, 0.0, True, -100.0, 100.0) decay_ratio.setFlags(decay_ratio.flags() | QgsProcessingParameterDefinition.FlagAdvanced) self.addParameter(decay_ratio) keys = list(self.OUTPUT_VALUES.keys()) output_scaling = QgsProcessingParameterEnum(self.OUTPUT_VALUE, self.tr('Output value scaling'), keys, allowMultiple=False, defaultValue=0) output_scaling.setFlags(output_scaling.flags() | QgsProcessingParameterDefinition.FlagAdvanced) self.addParameter(output_scaling) self.addParameter(QgsProcessingParameterRasterDestination(self.OUTPUT, self.tr('Heatmap'))) def processAlgorithm(self, parameters, context, feedback): source = self.parameterAsSource(parameters, self.INPUT, context) radius = self.parameterAsDouble(parameters, self.RADIUS, context) kernel_shape = self.parameterAsEnum(parameters, self.KERNEL, context) pixel_size = self.parameterAsDouble(parameters, self.PIXEL_SIZE, context) decay = self.parameterAsDouble(parameters, self.DECAY, context) output_values = self.parameterAsEnum(parameters, self.OUTPUT_VALUE, context) outputFile = self.parameterAsOutputLayer(parameters, self.OUTPUT, context) output_format = QgsRasterFileWriter.driverForExtension(os.path.splitext(outputFile)[1]) weight_field = self.parameterAsString(parameters, self.WEIGHT_FIELD, context) radius_field = self.parameterAsString(parameters, self.RADIUS_FIELD, context) attrs = [] kde_params = QgsKernelDensityEstimation.Parameters() kde_params.source = source kde_params.radius = radius kde_params.pixelSize = pixel_size # radius field if radius_field: kde_params.radiusField = radius_field attrs.append(source.fields().lookupField(radius_field)) # weight field if weight_field: kde_params.weightField = weight_field attrs.append(source.fields().lookupField(weight_field)) kde_params.shape = kernel_shape kde_params.decayRatio = decay kde_params.outputValues = output_values kde = QgsKernelDensityEstimation(kde_params, outputFile, output_format) if kde.prepare() != QgsKernelDensityEstimation.Success: raise QgsProcessingException( self.tr('Could not create destination layer')) request = QgsFeatureRequest() request.setSubsetOfAttributes(attrs) features = source.getFeatures(request) total = 100.0 / source.featureCount() if source.featureCount() else 0 for current, f in enumerate(features): if feedback.isCanceled(): break if kde.addFeature(f) != QgsKernelDensityEstimation.Success: feedback.reportError(self.tr('Error adding feature with ID {} to heatmap').format(f.id())) feedback.setProgress(int(current * total)) if kde.finalise() != QgsKernelDensityEstimation.Success: raise QgsProcessingException( self.tr('Could not save destination layer')) return {self.OUTPUT: outputFile}