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NAME

r.pi.csr.mw - Complete Spatial Randomness analysis on moving window.

KEYWORDS

raster

SYNOPSIS

r.pi.csr.mw
r.pi.csr.mw --help
r.pi.csr.mw input=name output=name [mask=string] keyval=integer n=integer method=string [size=integer] [--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:

input=name [required]
Name of input raster map
output=name [required]
Name for output raster map
mask=string
Name of the mask raster file
keyval=integer [required]
Category value of the patches
n=integer [required]
Number of repetitions to calculate reference value
method=string [required]
Method to calculate resulting index
Options: clark_evans, donnelly
size=integer
Size of the output matrix

Table of contents

DESCRIPTION

Complete Spatial Randomness (CSR) analysis based on a moving window. This function uses either the Clark and Evans (1954) or Donnelly (1978) aggregation index for testing of clustering of point patterns.

NOTES

...

EXAMPLE

An example for the North Carolina sample dataset: Compute the CSR for the whole landscape of landclass96 using class 5 (1000 iteration) using the Clark Evans method:
v.random output=randompoints n=100 zmin=0.0 zmax=0.0
v.to.rast input=randompoints output=randompoints  use=val val=1
r.pi.csr.mw input=randompoints keyval=1 n=1000 method=clark_evans output=csr1
The results for the whole landscape is prompted to the console. Compute the CSR for a defined moving window size of landclass96 using class 5 (1000 iteration, Clark Evans method):
r.pi.csr.mw input=randompoints keyval=5 n=1000 method=clark_evans size=7 output=csr1

SEE ALSO

r.pi.corearea, r.pi.corr.mw, r.pi.export, r.pi.graph, r.pi.graph.dec, r.pi.graph.pr, r.pi.graph.red, r.pi.grow, r.pi.import, r.pi.index, r.pi.lm, r.pi.odc, r.pi.prob.mw, r.pi.rectangle, r.pi

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.csr.mw source code (history)


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© 2003-2018 GRASS Development Team, GRASS GIS 7.4.2svn Reference Manual