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
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.
...
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
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
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)
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© 2003-2020
GRASS Development Team,
GRASS GIS 7.8.3dev Reference Manual