Add r.stats.quantile algorithm

python/plugins/processing/algs/grass7/description/r.stats.quantile.out.txt

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+r.stats.quantile
+r.stats.quantile.out - Compute category quantiles using two passes and output statistics
+Raster (r.*)
+ParameterRaster|base|Name of base raster map|False
+ParameterRaster|cover|Name of cover raster map|False
+ParameterString|quantiles|Number of quantiles|None|False|True
+ParameterString|percentiles|List of percentiles|None|False|True
+ParameterNumber|bins|Number of bins to use|0|None|1000|True
+*ParameterBoolean|-r|Create reclass map with statistics as category labels|False
+Hardcoded|-p
+OutputFile|output|Statistics File
+

python/plugins/processing/algs/grass7/description/r.stats.quantile.rast.txt

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+r.stats.quantile
+r.stats.quantile.rast - Compute category quantiles using two passes and output rasters.
+Raster (r.*)
+ParameterRaster|base|Name of base raster map|False
+ParameterRaster|cover|Name of cover raster map|False
+ParameterNumber|quantiles|Number of quantiles|2|None|2|True
+ParameterString|percentiles|List of percentiles|None|False|True
+ParameterNumber|bins|Number of bins to use|0|None|1000|True
+*ParameterBoolean|-r|Create reclass map with statistics as category labels|False
+OutputDirectory|output_dir|Output Directory
+

python/plugins/processing/algs/grass7/ext/r_stats_quantile_rast.py

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+# -*- coding: utf-8 -*-
+
+"""
+***************************************************************************
+    r_stats_quantile_rast.py
+    ------------------------
+    Date                 : February 2016
+    Copyright            : (C) 2016 by Médéric Ribreux
+    Email                : medspx at medspx dot fr
+***************************************************************************
+*                                                                         *
+*   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__ = 'Médéric Ribreux'
+__date__ = 'February 2016'
+__copyright__ = '(C) 2016, Médéric Ribreux'
+
+# This will get replaced with a git SHA1 when you do a git archive
+
+__revision__ = '$Format:%H$'
+
+from processing.core.parameters import getParameterFromString
+import os
+
+
+def processCommand(alg):
+    # We create the output sequence according to percentiles number
+    base = alg.getParameterValue('base')
+    quantiles = alg.getParameterValue('quantiles') - 1
+    outputs = []
+    for i in range(0, int(quantiles)):
+        outputs.append('output_{}'.format(i))
+
+    output = getParameterFromString('ParameterString|output|Output Rasters|None|False|True')
+    output.value = ','.join(outputs)
+    alg.addParameter(output)
+
+    output_dir = alg.getOutputFromName('output_dir')
+    alg.removeOutputFromName('output_dir')
+
+    # Launch the algorithm
+    alg.processCommand()
+
+    # We re-add the previous output
+    alg.addOutput(output_dir)
+
+
+def processOutputs(alg):
+    # We need to export each of the output
+    output_dir = alg.getOutputValue('output_dir')
+    outputParam = alg.getParameterFromName('output')
+    outputs = outputParam.value.split(',')
+    alg.parameters.remove(outputParam)
+    for output in outputs:
+        command = u"r.out.gdal -c createopt=\"TFW=YES,COMPRESS=LZW\" input={} output=\"{}\" --overwrite".format(
+            output,
+            os.path.join(output_dir, output + '.tif')
+        )
+        alg.commands.append(command)
+        alg.outputCommands.append(command)