r.pi.enn.iter - Patch relevance for Euclidean Nearest Neighbor patches.
KEYWORDS
raster
SYNOPSIS
r.pi.enn.iter r.pi.enn.iter help r.pi.enn.iter [-aq] input=nameoutput=namekeyval=integermethod=stringstatmethod=string [title="phrase"] [--overwrite] [--verbose] [--quiet]
Flags:
-a
Set for 8 cell-neighbors. 4 cell-neighbors are default
-q
Run quietly
--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
keyval=integer
Key value of patches in the input file
method=string
Aspect of the nearest patch to use.
Options: distance,area
statmethod=string
Statistical method to perform on differences.
Options: sum,average
title="phrase"
Title for resultant raster map
DESCRIPTION
Patch relevance for Euclidean Nearest Neighbor patches.
r.pi.enn.iter computes distance and area
differences for the first NN after removal of patch i.
NOTES
The keyval operator determines which category value is taken for
the Patch Index analysis.
The method operators determine what measure is applied
on the nth NN (area or distance).
Differences of distance/area after removal of patch i are provided as output as well as
the amount of patches to be affected by its removal (percent) (PP) and
the amount of area in these patches (PA - Percent Area)
EXAMPLE
An example for the North Carolina sample dataset:
Analysing the differences (average) in distance when patch i of class 5 is removed:
Programming: Elshad Shirinov
Scientific concept: Dr. Martin Wegmann
Department of Remote Sensing
Remote Sensing and Biodiversity Unit
University of Wuerzburg, Germany
