r.pi.nlm.circ - GRASS GIS manual

Note: This document is for an older version of GRASS GIS that will be discontinued soon. You should upgrade, and read the current manual page.

NAME

r.pi.nlm.circ - Creates a random landscape with defined attributes.

KEYWORDS

raster, landscape structure analysis, neutral landscapes

SYNOPSIS

r.pi.nlm.circ

r.pi.nlm.circ --help

r.pi.nlm.circ output=name size=x,y landcover=float count=integer [seed=integer] [title="phrase"] [--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:

output=name [required]: Name for output raster map
size=x,y [required]: Size of the map
landcover=float [required]: Landcover in percent
count=integer [required]: Number of the patches to create
seed=integer: Seed for random number generator
title="phrase": Title for resultant raster map

DESCRIPTION
NOTES
EXAMPLE
SEE ALSO
AUTHORS

DESCRIPTION

r.pi.nlm.circ is a random patch generator. It creates a random landscape with defined attributes.

NOTES

The user must specify the names of the raster map layers to be used for input and output, the landcover, the size, the count used, the keyval of the class of interest of the input raster map.

Input: The Input is potentially used for Landcover, size and count.
keyval: The keyval is used to compute landcover and count if not declared.
landcover: The landcover defines the amount of cover, if not declared, the landcover of keyval of input is used.
count: The count defines the amount of patches in the landscape, if not defined, the amount of patches in the input is used, if 0 is inserted, random amount of patches are created. Values from 1-n can be defined for a fixed number of patches.
size: The size defines the size of the artificial landscape. If not declared the size of the actual region is taken.
seed: The seed defiens the seed of random points. If all settings and the seed is fixed, then the patches won't be random anymore, but fixed. The user will receive everytime the same landscape.
xxx: The xxx ....
xxx: The xxx ....

EXAMPLE

An example for the North Carolina sample dataset:

g.region -d
...

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.nlm.circ source code (history)

Latest change: Tuesday Sep 19 09:59:22 2023 in commit: e76c325998c8cd9053ce012a5adbb79f33ab0779