GRASS GIS manual: r.pi.csr.mw

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] [--verbose] [--quiet]

Flags:

--overwrite: Allow output files to overwrite existing files
--verbose: Verbose module output
--quiet: Quiet module output

Parameters:

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

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

AUTHORS

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

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