GRASS GIS manual: r.pi.corr.mw

NAME

r.pi.corr.mw - Moving window correlation analysis.

KEYWORDS

SYNOPSIS

r.pi.corr.mw

r.pi.corr.mw --help

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

Flags:

--overwrite: Allow output files to overwrite existing files
--help: Print usage summary
--verbose: Verbose module output
--quiet: Quiet module output
--ui: Force launching GUI dialog

Parameters:

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

DESCRIPTION
NOTES
EXAMPLE
SEE ALSO
AUTHORS

DESCRIPTION

r.pi.corr.mw provides information concerning the correlation of pixels inside a moving window between two raster files.

It calculates correlation of two raster maps by calculating correlation function of two corresponding rectangular areas for each raster point and writing the result into a new raster map.

NOTES

This module computes the correlation between two raster files but unlike r.pi.lm for moving windows 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 higher precision

g.region rast=elevation -p
r.pi.corr.mw input1=slope input2=elevation output=corrwin1 size=7 max=10000
r.colors corrwin1 col=bgyr

AUTHORS

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

Port to GRASS GIS 7: Markus Metz

Last changed: $Date: 2017-05-10 23:56:34 +0200 (Wed, 10 May 2017) $

SOURCE CODE

Available at: r.pi.corr.mw source code (history)