# -*- coding: utf-8 -*- """ *************************************************************************** GridDataMetrics.py --------------------- Date : October 2013 Copyright : (C) 2013 by Alexander Bruy Email : alexander dot bruy 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__ = 'Alexander Bruy' __date__ = 'October 2013' __copyright__ = '(C) 2013, Alexander Bruy' # This will get replaced with a git SHA1 when you do a git archive __revision__ = '$Format:%H$' import os from processing.algs.gdal.GdalAlgorithm import GdalAlgorithm from processing.core.parameters import ParameterVector from processing.core.parameters import ParameterTableField from processing.core.parameters import ParameterSelection from processing.core.parameters import ParameterNumber from processing.core.outputs import OutputRaster from processing.algs.gdal.GdalUtils import GdalUtils class GridDataMetrics(GdalAlgorithm): INPUT = 'INPUT' Z_FIELD = 'Z_FIELD' METRIC = 'METRIC' RADIUS_1 = 'RADIUS_1' RADIUS_2 = 'RADIUS_2' MIN_POINTS = 'MIN_POINTS' ANGLE = 'ANGLE' NODATA = 'NODATA' OUTPUT = 'OUTPUT' RTYPE = 'RTYPE' TYPE = ['Byte', 'Int16', 'UInt16', 'UInt32', 'Int32', 'Float32', 'Float64'] DATA_METRICS = ['Minimum', 'Maximum', 'Range', 'Count', 'Average distance', 'Average distance between points'] def commandLineName(self): return "gdalogr:griddatametrics" def defineCharacteristics(self): self.name = 'Grid (Data metrics)' self.group = '[GDAL] Analysis' self.addParameter(ParameterVector(self.INPUT, self.tr('Input layer'), [ParameterVector.VECTOR_TYPE_POINT])) self.addParameter(ParameterTableField(self.Z_FIELD, self.tr('Z field'), self.INPUT, ParameterTableField.DATA_TYPE_NUMBER, True)) self.addParameter(ParameterSelection(self.METRIC, self.tr('Metrics'), self.DATA_METRICS, 0)) self.addParameter(ParameterNumber(self.RADIUS_1, self.tr('Radius 1'), 0.0, 99999999.999999, 0.0)) self.addParameter(ParameterNumber(self.RADIUS_2, self.tr('Radius 2'), 0.0, 99999999.999999, 0.0)) self.addParameter(ParameterNumber(self.MIN_POINTS, self.tr('Min points'), 0.0, 99999999.999999, 0.0)) self.addParameter(ParameterNumber(self.ANGLE, self.tr('Angle'), 0.0, 359.0, 0.0)) self.addParameter(ParameterNumber(self.NODATA, self.tr('Nodata'), 0.0, 99999999.999999, 0.0)) self.addParameter(ParameterSelection(self.RTYPE, self.tr('Output raster type'), self.TYPE, 5)) self.addOutput(OutputRaster(self.OUTPUT, self.tr('Output file'))) def processAlgorithm(self, progress): arguments = ['-l'] arguments.append( os.path.basename(os.path.splitext( unicode(self.getParameterValue(self.INPUT)))[0])) fieldName = self.getParameterValue(self.Z_FIELD) if fieldName is not None and fieldName != '': arguments.append('-zfield') arguments.append(fieldName) metric = self.getParameterValue(self.METRIC) if metric == 0: params = 'minimum' elif metric == 1: params = 'maximum' elif metric == 2: params = 'range' elif metric == 3: params = 'count' elif metric == 4: params = 'average_distance' elif metric == 5: params = 'average_distance_pts' params += ':radius1=%s' % self.getParameterValue(self.RADIUS_1) params += ':radius2=%s' % self.getParameterValue(self.RADIUS_2) params += ':angle=%s' % self.getParameterValue(self.ANGLE) params += ':min_points=%s' % self.getParameterValue(self.MIN_POINTS) params += ':nodata=%s' % self.getParameterValue(self.NODATA) arguments.append('-a') arguments.append(params) arguments.append('-ot') arguments.append(self.TYPE[self.getParameterValue(self.RTYPE)]) arguments.append(unicode(self.getParameterValue(self.INPUT))) arguments.append(unicode(self.getOutputValue(self.OUTPUT))) GdalUtils.runGdal(['gdal_grid', GdalUtils.escapeAndJoin(arguments)], progress)