NAME
r.pi.nlm.circ - Creates a random landscape with defined attributes.
KEYWORDS
raster
SYNOPSIS
r.pi.nlm.circ
r.pi.nlm.circ help
r.pi.nlm.circ [-q] output=name size=x,y landcover=float count=integer [seed=integer] [title="phrase"] [--overwrite] [--verbose] [--quiet]
Flags:
- -q
- Run quietly
- --overwrite
- Allow output files to overwrite existing files
- --verbose
- Verbose module output
- --quiet
- Quiet module output
Parameters:
- output=name
- Name for output raster map
- size=x,y
- Size of the map
- landcover=float
- Landcover in percent
- count=integer
- Number of the patches to create
- seed=integer
- Seed for random number generator
- title="phrase"
- Title for resultant raster map
DESCRIPTION
r.nlm 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:
SEE ALSO
r.nlm.fractal,
r.nlm.stats,
r.pi
AUTHORS
Programming: Elshad Shirinov
Scientific concept: Dr. Martin Wegmann
Department of Remote Sensing
Remote Sensing and Biodiversity Unit
University of Wuerzburg, Germany
Last changed: $Date$
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