r.pi.csr.mw

Complete Spatial Randomness analysis on moving window.

Command linePython (grass.script)

r.pi.csr.mw input=name output=name [mask=string] keyval=integer n=integer method=string [size=integer] [--overwrite] [--verbose] [--quiet] [--qq] [--ui]

Example:

r.pi.csr.mw input=name output=name keyval=integer n=integer method=string

grass.script.run_command("r.pi.csr.mw", input, output, mask=None, keyval, n, method, size=None, overwrite=False, verbose=False, quiet=False, superquiet=False)

Example:

gs.run_command("r.pi.csr.mw", input="name", output="name", keyval=integer, n=integer, method="string")

Parameters

Command linePython (grass.script)

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
    Allowed values: clark_evans, donnelly
size=integer
    Size of the output matrix
--overwrite
    Allow output files to overwrite existing files
--help
    Print usage summary
--verbose
    Verbose module output
--quiet
    Quiet module output
--qq
    Very quiet module output
--ui
    Force launching GUI dialog

input : str, required
    Name of input raster map
    Used as: input, raster, name
output : str, required
    Name for output raster map
    Used as: output, raster, name
mask : str, optional
    Name of the mask raster file
    Used as: input, raster
keyval : int, required
    Category value of the patches
n : int, required
    Number of repetitions to calculate reference value
method : str, required
    Method to calculate resulting index
    Allowed values: clark_evans, donnelly
size : int, optional
    Size of the output matrix
overwrite: bool, optional
    Allow output files to overwrite existing files
    Default: False
verbose: bool, optional
    Verbose module output
    Default: False
quiet: bool, optional
    Quiet module output
    Default: False
superquiet: bool, optional
    Very quiet module output
    Default: False

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

Port to GRASS GIS 7: Markus Metz

SOURCE CODE

Available at: r.pi.csr.mw source code (history)
Latest change: Thursday Feb 20 13:02:26 2025 in commit 53de819