NAME
r.pi.nlm - Creates a random generated map with values 0 or 1by given landcover and fragment count.
KEYWORDS
raster,
landscape structure analysis,
neutral landscapes
SYNOPSIS
r.pi.nlm
r.pi.nlm --help
r.pi.nlm [-r] [input=name] output=name [keyval=integer] [nullval=integer[,integer,...]] [landcover=float] [sharpness=float] [seed=integer] [title="phrase"] [--overwrite] [--help] [--verbose] [--quiet] [--ui]
Flags:
- -r
- Print report to stdout
- --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
- Name of input raster map
- output=name [required]
- Name for output raster map
- keyval=integer
- 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
Creates a random generated map with values 0 or 1" "by given landcover
and agglomeration value.
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.
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
A random landscape is generated using the percentage coverage of class
5. The agglomeration factor is set randomly:
r.pi.nlm input=landclass96 output=nlm.2 keyval=5
r.pi.nlm.circ,
r.pi.nlm.stats,
r.pi
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 source code
(history)
Latest change: Tuesday Sep 19 09:59:22 2023 in commit: e76c325998c8cd9053ce012a5adbb79f33ab0779
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GRASS Development Team,
GRASS GIS 8.4.1dev Reference Manual