r.pi.csr.mw - GRASS GIS manual

NAME

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

KEYWORDS

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

DESCRIPTION
NOTES
EXAMPLE
SEE ALSO
AUTHORS

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

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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

Port to GRASS GIS 7: Markus Metz

SOURCE CODE

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

Latest change: Monday Jan 30 19:52:26 2023 in commit: cac8d9d848299297977d1315b7e90cc3f7698730