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NAME

r.pi.corrwin - Moving window correlation analysis.

KEYWORDS

raster

SYNOPSIS

r.pi.corrwin
r.pi.corrwin help
r.pi.corrwin [-q] input1=name input2=name output=name size=integer max=integer [title="phrase"] [--overwrite] [--verbose] [--quiet]

Flags:

-q
Run quietly
--overwrite
Allow output files to overwrite existing files
--verbose
Verbose module output
--quiet
Quiet module output

Parameters:

input1=name
Name of input raster map
input2=name
Name of input raster map
output=name
Name for output raster map
size=integer
Neighborhood size
Options: 1,3,5,7,9,11,13,15,17,19,21,23,25
max=integer
Value to be set for the correlation value 1.0 in order to receive more information of the decimal places, e.g. set it to 1000
title="phrase"
Title for resultant raster map

DESCRIPTION

This module computes the correlation between two raster files but unlike r.pi.lm within a moving window of a specific size. This module is partly based on r.neighbours and r.covar.

EXAMPLE

An example for the North Carolina sample dataset: Correlation of all pixels within a 7x7 sized window of two rasters (elevation and slope). The output is multiplied by 10000 for
r.pi.corrwin input1=slope input2=elevation output=corrwin1 size=7 max=10000
r.colors corrwin1 col=bgyr

SEE ALSO

r.pi.index, r.pi.lm, r.pi

AUTHORS

Programming: Elshad Shirinov
Scientific concept: Dr. Martin Wegmann
Department of Remote Sensing
Remote Sensing and Biodiversity Unit
University of Wuerzburg, Germany

Last changed: $Date$


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