r.pi.enn.pr - GRASS GIS manual

NAME

r.pi.enn.pr - Patch relevance for Euclidean Nearest Neighbor patches.

KEYWORDS

SYNOPSIS

r.pi.enn.pr

r.pi.enn.pr --help

r.pi.enn.pr [-a] input=name output=name keyval=integer method=string statmethod=string [title="phrase"] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

-a: Set for 8 cell-neighbors. 4 cell-neighbors are default
--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
keyval=integer [required]: Key value of patches in the input file
method=string [required]: Aspect of the nearest patch to use.; Options: distance, area
statmethod=string [required]: Statistical method to perform on differences.; Options: sum, average
title="phrase": Title for resultant raster map

DESCRIPTION
NOTES
EXAMPLE
SEE ALSO
AUTHORS

DESCRIPTION

Patch relevance for Euclidean Nearest Neighbor patches.

r.pi.enn.pr 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:

r.pi.enn.pr input=landclass96 output=dist_iter keyval=5 method=distance statmethod=average

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.enn.pr source code (history)