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Add r.series.interp algorithm
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Médéric RIBREUX committed Feb 28, 2016
1 parent af48246 commit 2cb249c
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r.series.interp
Interpolates raster maps located (temporal or spatial) in between input raster maps at specific sampling positions.
Raster (r.*)
ParameterMultipleInput|input|Input raster layer(s)|3.0|False
ParameterString|datapos|Data point position for each input map|None|True|True
ParameterFile|infile|Input file with one input raster map name and data point position per line, field separator between name and sample point is '|'|True
ParameterString|output|Name for output raster map (comma separated list if multiple|None|False|True
ParameterString|samplingpos|Sampling point position for each output map (comma separated list)|None|True|True
ParameterFile|outfile|Input file with one output raster map name and sample point position per line, field separator between name and sample point is '|'|True
ParameterSelection|method|Interpolation method, currently only linear interpolation is supported|linear|0
OutputDirectory|output_dir|Interpolated rasters
79 changes: 79 additions & 0 deletions python/plugins/processing/algs/grass7/ext/r_series_interp.py
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# -*- coding: utf-8 -*-

"""
***************************************************************************
r_series_interp.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__ = '$Format:%H$'

import codecs
from processing.tools.system import getTempFilename
from os import path


def checkParameterValuesBeforeExecuting(alg):
""" Verify if we have the right parameters """
datapos = alg.getParameterValue(u'datapos')
infile = alg.getParameterValue(u'infile')
output = alg.getParameterValue(u'output')
outfile = alg.getParameterValue(u'outfile')

if datapos and infile:
return alg.tr("You need to set either inline data positions or an input data positions file !")
if output and outfile:
return alg.tr("You need to set either sampling data positions or an output sampling data positions file !")
if not (datapos or infile or output or outfile):
return alg.tr("You need to set input and output data positions parameters !")
return None


def processCommand(alg):
# We temporary remove the output directory
outdir = alg.getOutputFromName('output_dir')
alg.removeOutputFromName('output_dir')

alg.processCommand()

# We re-add the new output
alg.addOutput(outdir)


def processOutputs(alg):
# We take all the outputs and we export them to the output directory
outdir = alg.getOutputFromName('output_dir')
output = alg.getParameterValue('output')
outfile = alg.getParameterValue('outfile')
outs = []
if output:
outs = output.split(',')
elif outfile:
# Handle file manually to find the name of the layers
with open(outfile) as f:
for line in f:
if '|' in line:
outs.append(line.split('|')[0])

for out in outs:
command = u"r.out.gdal --overwrite -t -c createopt=\"TFW=YES,COMPRESS=LZW\" input={} output=\"{}\"".format(
out, path.join(outdir.value, '{}.tif'.format(out)))
alg.commands.append(command)
alg.outputCommands.append(command)

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