QGIS/python/plugins/sextante/algs/RasterLayerStatistics.py
2013-02-17 23:14:28 +01:00

121 lines
4.5 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 PyQt4.QtCore import *
from qgis.core import *
from sextante.core.GeoAlgorithm import GeoAlgorithm
from sextante.core.QGisLayers import QGisLayers
from sextante.parameters.ParameterRaster import ParameterRaster
from sextante.tools import raster
from sextante.outputs.OutputNumber import OutputNumber
from sextante.outputs.OutputHTML import OutputHTML
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 = QGisLayers.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 = "Raster layer statistics"
self.group = "Raster tools"
self.addParameter(ParameterRaster(self.INPUT, "Input layer"))
self.addOutput(OutputHTML(self.OUTPUT_HTML_FILE, "Statistics"))
self.addOutput(OutputNumber(self.MIN, "Minimum value"))
self.addOutput(OutputNumber(self.MAX, "Maximum value"))
self.addOutput(OutputNumber(self.SUM, "Sum"))
self.addOutput(OutputNumber(self.MEAN, "Mean value"))
self.addOutput(OutputNumber(self.COUNT, "valid cells count"))
self.addOutput(OutputNumber(self.COUNT, "No-data cells count"))
self.addOutput(OutputNumber(self.STD_DEV, "Standard deviation"))
def createHTML(self, outputFile, algData):
f = open(outputFile, "w")
for s in algData:
f.write("<p>" + str(s) + "</p>")
f.close()