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Add new algorithm to calculate zonal statistics into a new sink
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src/analysis/processing/qgsalgorithmzonalstatisticsfeaturebased.cpp
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| /*************************************************************************** | ||
| qgsalgorithmzonalstatisticsfeaturebased.cpp | ||
| --------------------- | ||
| begin : September 2020 | ||
| copyright : (C) 2020 by Matthias Kuhn | ||
| email : matthias@opengis.ch | ||
| ***************************************************************************/ | ||
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| /*************************************************************************** | ||
| * * | ||
| * 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. * | ||
| * * | ||
| ***************************************************************************/ | ||
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| #include "qgsalgorithmzonalstatisticsfeaturebased.h" | ||
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| ///@cond PRIVATE | ||
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| const std::vector< QgsZonalStatistics::Statistic > STATS | ||
| { | ||
| QgsZonalStatistics::Count, | ||
| QgsZonalStatistics::Sum, | ||
| QgsZonalStatistics::Mean, | ||
| QgsZonalStatistics::Median, | ||
| QgsZonalStatistics::StDev, | ||
| QgsZonalStatistics::Min, | ||
| QgsZonalStatistics::Max, | ||
| QgsZonalStatistics::Range, | ||
| QgsZonalStatistics::Minority, | ||
| QgsZonalStatistics::Majority, | ||
| QgsZonalStatistics::Variety, | ||
| QgsZonalStatistics::Variance, | ||
| }; | ||
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| QString QgsZonalStatisticsFeatureBasedAlgorithm::name() const | ||
| { | ||
| return QStringLiteral( "zonalstatisticsfb" ); | ||
| } | ||
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| QString QgsZonalStatisticsFeatureBasedAlgorithm::displayName() const | ||
| { | ||
| return QObject::tr( "Zonal statistics (feature based)" ); | ||
| } | ||
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| QStringList QgsZonalStatisticsFeatureBasedAlgorithm::tags() const | ||
| { | ||
| return QObject::tr( "stats,statistics,zones,layer,sum,maximum,minimum,mean,count,standard,deviation," | ||
| "median,range,majority,minority,variety,variance,summary,raster" ).split( ',' ); | ||
| } | ||
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| QString QgsZonalStatisticsFeatureBasedAlgorithm::group() const | ||
| { | ||
| return QObject::tr( "Raster analysis" ); | ||
| } | ||
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| QString QgsZonalStatisticsFeatureBasedAlgorithm::groupId() const | ||
| { | ||
| return QStringLiteral( "rasteranalysis" ); | ||
| } | ||
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| QString QgsZonalStatisticsFeatureBasedAlgorithm::shortHelpString() const | ||
| { | ||
| return QObject::tr( "This algorithm calculates statistics of a raster layer for each feature " | ||
| "of an overlapping polygon vector layer." ); | ||
| } | ||
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| QList<int> QgsZonalStatisticsFeatureBasedAlgorithm::inputLayerTypes() const | ||
| { | ||
| return QList<int>() << QgsProcessing::TypeVectorPolygon; | ||
| } | ||
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| QgsZonalStatisticsFeatureBasedAlgorithm *QgsZonalStatisticsFeatureBasedAlgorithm::createInstance() const | ||
| { | ||
| return new QgsZonalStatisticsFeatureBasedAlgorithm(); | ||
| } | ||
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| void QgsZonalStatisticsFeatureBasedAlgorithm::initParameters( const QVariantMap &configuration ) | ||
| { | ||
| Q_UNUSED( configuration ) | ||
| QStringList statChoices; | ||
| statChoices.reserve( STATS.size() ); | ||
| for ( QgsZonalStatistics::Statistic stat : STATS ) | ||
| { | ||
| statChoices << QgsZonalStatistics::displayName( stat ); | ||
| } | ||
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| addParameter( new QgsProcessingParameterRasterLayer( QStringLiteral( "INPUT_RASTER" ), QObject::tr( "Raster layer" ) ) ); | ||
| addParameter( new QgsProcessingParameterBand( QStringLiteral( "RASTER_BAND" ), | ||
| QObject::tr( "Raster band" ), 1, QStringLiteral( "INPUT_RASTER" ) ) ); | ||
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| addParameter( new QgsProcessingParameterString( QStringLiteral( "COLUMN_PREFIX" ), QObject::tr( "Output column prefix" ), QStringLiteral( "_" ) ) ); | ||
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| addParameter( new QgsProcessingParameterEnum( QStringLiteral( "STATISTICS" ), QObject::tr( "Statistics to calculate" ), | ||
| statChoices, true, QVariantList() << 0 << 1 << 2 ) ); | ||
| } | ||
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| QString QgsZonalStatisticsFeatureBasedAlgorithm::outputName() const | ||
| { | ||
| return QObject::tr( "Zonal Statistics" ); | ||
| } | ||
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| QgsFields QgsZonalStatisticsFeatureBasedAlgorithm::outputFields( const QgsFields &inputFields ) const | ||
| { | ||
| Q_UNUSED( inputFields ) | ||
| return mOutputFields; | ||
| } | ||
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| QgsProcessingFeatureSource::Flag QgsZonalStatisticsFeatureBasedAlgorithm::sourceFlags() const | ||
| { | ||
| return QgsProcessingFeatureSource::FlagSkipGeometryValidityChecks; | ||
| } | ||
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| bool QgsZonalStatisticsFeatureBasedAlgorithm::prepareAlgorithm( const QVariantMap ¶meters, QgsProcessingContext &context, QgsProcessingFeedback * ) | ||
| { | ||
| mPrefix = parameterAsString( parameters, QStringLiteral( "COLUMN_PREFIX" ), context ); | ||
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| const QList< int > stats = parameterAsEnums( parameters, QStringLiteral( "STATISTICS" ), context ); | ||
| mStats = nullptr; | ||
| for ( int s : stats ) | ||
| { | ||
| mStats |= STATS.at( s ); | ||
| } | ||
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| QgsRasterLayer *rasterLayer = parameterAsRasterLayer( parameters, QStringLiteral( "INPUT_RASTER" ), context ); | ||
| if ( !rasterLayer ) | ||
| throw QgsProcessingException( invalidRasterError( parameters, QStringLiteral( "INPUT_RASTER" ) ) ); | ||
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| mBand = parameterAsInt( parameters, QStringLiteral( "RASTER_BAND" ), context ); | ||
| if ( mBand < 1 || mBand > rasterLayer->bandCount() ) | ||
| throw QgsProcessingException( QObject::tr( "Invalid band number for BAND (%1): Valid values for input raster are 1 to %2" ).arg( mBand ) | ||
| .arg( rasterLayer->bandCount() ) ); | ||
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| if ( !rasterLayer->dataProvider() ) | ||
| throw QgsProcessingException( QObject::tr( "Invalid raster layer. Layer %1 is invalid." ).arg( rasterLayer->id() ) ); | ||
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| mRaster.reset( rasterLayer->dataProvider()->clone() ); | ||
| mCrs = rasterLayer->crs(); | ||
| mPixelSizeX = rasterLayer->rasterUnitsPerPixelX(); | ||
| mPixelSizeY = rasterLayer->rasterUnitsPerPixelY(); | ||
| QgsFeatureSource *source = parameterAsSource( parameters, inputParameterName(), context ); | ||
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| mOutputFields = source->fields(); | ||
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| for ( QgsZonalStatistics::Statistic stat : STATS ) | ||
| { | ||
| if ( mStats & stat ) | ||
| { | ||
| QgsField field = QgsField( mPrefix + QgsZonalStatistics::shortName( stat ), QVariant::Double, QStringLiteral( "double precision" ) ); | ||
| if ( mOutputFields.names().contains( field.name() ) ) | ||
| { | ||
| throw QgsProcessingException( QObject::tr( "Field %1 already exists" ).arg( field.name() ) ); | ||
| } | ||
| mOutputFields.append( field ); | ||
| mStatFieldsMapping.insert( stat, mOutputFields.size() - 1 ); | ||
| } | ||
| } | ||
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| return true; | ||
| } | ||
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| QgsFeatureList QgsZonalStatisticsFeatureBasedAlgorithm::processFeature( const QgsFeature &feature, QgsProcessingContext &context, QgsProcessingFeedback *feedback ) | ||
| { | ||
| Q_UNUSED( context ) | ||
| Q_UNUSED( feedback ) | ||
| QgsAttributes attributes = feature.attributes(); | ||
| attributes.resize( mOutputFields.size() ); | ||
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| QMap<QgsZonalStatistics::Statistic, QVariant> results = QgsZonalStatistics::calculateStatistics( mRaster.get(), feature.geometry(), mPixelSizeX, mPixelSizeY, mBand, mStats ); | ||
| for ( const auto &result : results.toStdMap() ) | ||
| { | ||
| attributes.replace( mStatFieldsMapping.value( result.first ), result.second ); | ||
| } | ||
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| QgsFeature resultFeature = feature; | ||
| resultFeature.setAttributes( attributes ); | ||
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| return QgsFeatureList { resultFeature }; | ||
| } | ||
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| bool QgsZonalStatisticsFeatureBasedAlgorithm::supportInPlaceEdit( const QgsMapLayer *layer ) const | ||
| { | ||
| Q_UNUSED( layer ) | ||
| return false; | ||
| } | ||
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| ///@endcond |
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