Value of a category from the input file to measure desired landcover
nullval=integer[,integer,...]
Values marking areas from the input file, which are to be NULL in the resulting map
landcover=float
Landcover in percent
sharpness=float
Small values produce smooth structures, great values produce sharp, edgy structures - Range [0-1]
seed=integer
Seed for random number generator
title="phrase"
Title for resultant raster map
DESCRIPTION
Creates a random generated map with values 0 or 1" "by given landcover and agglomeration value.
NOTES
Related to r.pi.nlm.circ but using fractal landscapes instead of circular growth. Per default the size of the whole region is used for generating a random landscape, this can be constraint by assigning a class in a raster map with acts as mask for the generation of the random landscape (nullval).
The landcover can be set manually, randomly or be taken from the input class coverage. The agglomeration level (sharpness) can be set manually or randomly. If similar random landscape with differing e.g. percentage coverage should be generated, then the seed can be set using any number and reused for any subsequent analysis.
EXAMPLE
An example for the North Carolina sample dataset:
A random landscape with random percentage coverage and agglomeration factor:
r.pi.nlm output=nlm.1 landcover=50 --o
A random landscape is generated using the percentage coverage of class 5. The agglomeration factor is set randomly:
Programming: Elshad Shirinov
Scientific concept: Dr. Martin Wegmann
Department of Remote Sensing
Remote Sensing and Biodiversity Unit
University of Wuerzburg, Germany