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185 lines
8.9 KiB
Python
185 lines
8.9 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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GridInverseDistanceNearestNeighbor.py
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---------------------
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Date : September 2017
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Copyright : (C) 2017 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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__author__ = 'Alexander Bruy'
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__date__ = 'September 2017'
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__copyright__ = '(C) 2017, 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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from qgis.PyQt.QtGui import QIcon
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from qgis.core import (QgsRasterFileWriter,
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QgsProcessing,
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QgsProcessingParameterDefinition,
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QgsProcessingParameterFeatureSource,
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QgsProcessingParameterEnum,
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QgsProcessingParameterField,
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QgsProcessingParameterNumber,
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QgsProcessingParameterString,
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QgsProcessingParameterRasterDestination)
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from processing.algs.gdal.GdalAlgorithm import GdalAlgorithm
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from processing.algs.gdal.GdalUtils import GdalUtils
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pluginPath = os.path.split(os.path.split(os.path.dirname(__file__))[0])[0]
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class GridInverseDistanceNearestNeighbor(GdalAlgorithm):
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INPUT = 'INPUT'
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Z_FIELD = 'Z_FIELD'
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POWER = 'POWER'
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SMOOTHING = 'SMOOTHING'
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RADIUS = 'RADIUS'
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MAX_POINTS = 'MAX_POINTS'
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MIN_POINTS = 'MIN_POINTS'
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NODATA = 'NODATA'
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OPTIONS = 'OPTIONS'
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DATA_TYPE = 'DATA_TYPE'
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OUTPUT = 'OUTPUT'
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TYPES = ['Byte', 'Int16', 'UInt16', 'UInt32', 'Int32', 'Float32', 'Float64', 'CInt16', 'CInt32', 'CFloat32', 'CFloat64']
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def __init__(self):
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super().__init__()
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def initAlgorithm(self, config=None):
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self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT,
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self.tr('Point layer'),
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[QgsProcessing.TypeVectorPoint]))
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z_field_param = QgsProcessingParameterField(self.Z_FIELD,
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self.tr('Z value from field'),
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None,
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self.INPUT,
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QgsProcessingParameterField.Numeric,
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optional=True)
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z_field_param.setFlags(z_field_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
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self.addParameter(z_field_param)
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self.addParameter(QgsProcessingParameterNumber(self.POWER,
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self.tr('Weighting power'),
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type=QgsProcessingParameterNumber.Double,
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minValue=0.0,
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maxValue=100.0,
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defaultValue=2.0))
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self.addParameter(QgsProcessingParameterNumber(self.SMOOTHING,
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self.tr('Smoothing'),
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type=QgsProcessingParameterNumber.Double,
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minValue=0.0,
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defaultValue=0.0))
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self.addParameter(QgsProcessingParameterNumber(self.RADIUS,
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self.tr('The radius of the search circle'),
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type=QgsProcessingParameterNumber.Double,
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minValue=0.0,
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defaultValue=1.0))
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self.addParameter(QgsProcessingParameterNumber(self.MAX_POINTS,
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self.tr('Maximum number of data points to use'),
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type=QgsProcessingParameterNumber.Integer,
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minValue=0,
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defaultValue=0))
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self.addParameter(QgsProcessingParameterNumber(self.MIN_POINTS,
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self.tr('Minimum number of data points to use'),
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type=QgsProcessingParameterNumber.Integer,
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minValue=0,
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defaultValue=0))
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self.addParameter(QgsProcessingParameterNumber(self.NODATA,
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self.tr('NODATA marker to fill empty points'),
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type=QgsProcessingParameterNumber.Double,
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defaultValue=0.0))
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options_param = QgsProcessingParameterString(self.OPTIONS,
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self.tr('Additional creation parameters'),
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defaultValue='',
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optional=True)
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options_param.setFlags(options_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
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options_param.setMetadata({
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'widget_wrapper': {
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'class': 'processing.algs.gdal.ui.RasterOptionsWidget.RasterOptionsWidgetWrapper'}})
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self.addParameter(options_param)
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dataType_param = QgsProcessingParameterEnum(self.DATA_TYPE,
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self.tr('Output data type'),
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self.TYPES,
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allowMultiple=False,
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defaultValue=5)
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dataType_param.setFlags(dataType_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
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self.addParameter(dataType_param)
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self.addParameter(QgsProcessingParameterRasterDestination(self.OUTPUT,
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self.tr('Interpolated (IDW with NN search)')))
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def name(self):
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return 'gridinversedistancenearestneighbor'
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def displayName(self):
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return self.tr('Grid (IDW with nearest neighbor searching)')
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def group(self):
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return self.tr('Raster analysis')
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def groupId(self):
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return 'rasteranalysis'
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def icon(self):
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return QIcon(os.path.join(pluginPath, 'images', 'gdaltools', 'grid.png'))
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def getConsoleCommands(self, parameters, context, feedback, executing=True):
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ogrLayer, layerName = self.getOgrCompatibleSource(self.INPUT, parameters, context, feedback, executing)
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arguments = ['-l']
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arguments.append(layerName)
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fieldName = self.parameterAsString(parameters, self.Z_FIELD, context)
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if fieldName:
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arguments.append('-zfield')
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arguments.append(fieldName)
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params = 'invdistnn'
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params += ':power={}'.format(self.parameterAsDouble(parameters, self.POWER, context))
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params += ':smothing={}'.format(self.parameterAsDouble(parameters, self.SMOOTHING, context))
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params += ':radius={}'.format(self.parameterAsDouble(parameters, self.RADIUS, context))
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params += ':max_points={}'.format(self.parameterAsInt(parameters, self.MAX_POINTS, context))
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params += ':min_points={}'.format(self.parameterAsInt(parameters, self.MIN_POINTS, context))
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params += ':nodata={}'.format(self.parameterAsDouble(parameters, self.NODATA, context))
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arguments.append('-a')
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arguments.append(params)
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arguments.append('-ot')
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arguments.append(self.TYPES[self.parameterAsEnum(parameters, self.DATA_TYPE, context)])
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out = self.parameterAsOutputLayer(parameters, self.OUTPUT, context)
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arguments.append('-of')
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arguments.append(QgsRasterFileWriter.driverForExtension(os.path.splitext(out)[1]))
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options = self.parameterAsString(parameters, self.OPTIONS, context)
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if options:
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arguments.append('-co')
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arguments.append(options)
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arguments.append(ogrLayer)
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arguments.append(out)
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return ['gdal_grid', GdalUtils.escapeAndJoin(arguments)]
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