QGIS/python/plugins/processing/algs/qgis/RasterLayerStatistics.py
2015-08-16 20:58:43 +02:00

121 lines
4.3 KiB
Python

# -*- coding: utf-8 -*-
"""
***************************************************************************
RasterLayerStatistics.py
---------------------
Date : January 2013
Copyright : (C) 2013 by Victor Olaya
Email : volayaf 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__ = 'Victor Olaya'
__date__ = 'January 2013'
__copyright__ = '(C) 2013, Victor Olaya'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
import math
from processing.core.GeoAlgorithm import GeoAlgorithm
from processing.core.parameters import ParameterRaster
from processing.core.outputs import OutputNumber
from processing.core.outputs import OutputHTML
from processing.tools import dataobjects
from processing.tools import raster
class RasterLayerStatistics(GeoAlgorithm):
INPUT = 'INPUT'
MIN = 'MIN'
MAX = 'MAX'
SUM = 'SUM'
MEAN = 'MEAN'
COUNT = 'COUNT'
NO_DATA_COUNT = 'NO_DATA_COUNT'
STD_DEV = 'STD_DEV'
OUTPUT_HTML_FILE = 'OUTPUT_HTML_FILE'
def processAlgorithm(self, progress):
outputFile = self.getOutputValue(self.OUTPUT_HTML_FILE)
uri = self.getParameterValue(self.INPUT)
layer = dataobjects.getObjectFromUri(uri)
values = raster.scanraster(layer, progress)
n = 0
nodata = 0
mean = 0
M2 = 0
sum = 0
minvalue = None
maxvalue = None
for v in values:
if v is not None:
sum += v
n = n + 1
delta = v - mean
mean = mean + delta / n
M2 = M2 + delta * (v - mean)
if minvalue is None:
minvalue = v
maxvalue = v
else:
minvalue = min(v, minvalue)
maxvalue = max(v, maxvalue)
else:
nodata += 1
variance = M2 / (n - 1)
stddev = math.sqrt(variance)
data = []
data.append('Valid cells: ' + unicode(n))
data.append('No-data cells: ' + unicode(nodata))
data.append('Minimum value: ' + unicode(minvalue))
data.append('Maximum value: ' + unicode(maxvalue))
data.append('Sum: ' + unicode(sum))
data.append('Mean value: ' + unicode(mean))
data.append('Standard deviation: ' + unicode(stddev))
self.createHTML(outputFile, data)
self.setOutputValue(self.COUNT, n)
self.setOutputValue(self.NO_DATA_COUNT, nodata)
self.setOutputValue(self.MIN, minvalue)
self.setOutputValue(self.MAX, maxvalue)
self.setOutputValue(self.SUM, sum)
self.setOutputValue(self.MEAN, mean)
self.setOutputValue(self.STD_DEV, stddev)
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Raster layer statistics')
self.group, self.i18n_group = self.trAlgorithm('Raster tools')
self.addParameter(ParameterRaster(self.INPUT, self.tr('Input layer')))
self.addOutput(OutputHTML(self.OUTPUT_HTML_FILE, self.tr('Statistics')))
self.addOutput(OutputNumber(self.MIN, self.tr('Minimum value')))
self.addOutput(OutputNumber(self.MAX, self.tr('Maximum value')))
self.addOutput(OutputNumber(self.SUM, self.tr('Sum')))
self.addOutput(OutputNumber(self.MEAN, self.tr('Mean value')))
self.addOutput(OutputNumber(self.COUNT, self.tr('valid cells count')))
self.addOutput(OutputNumber(self.COUNT, self.tr('No-data cells count')))
self.addOutput(OutputNumber(self.STD_DEV, self.tr('Standard deviation')))
def createHTML(self, outputFile, algData):
f = open(outputFile, 'w')
for s in algData:
f.write('<p>' + unicode(s) + '</p>')
f.close()