GRASS GIS manual: r.li.mpa

Note: This document is for an older version of GRASS GIS that is outdated.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

NAME

r.li.mpa - Calculates mean pixel attribute index on a raster map

KEYWORDS

raster, landscape structure analysis, patch index

SYNOPSIS

r.li.mpa
r.li.mpa help
r.li.mpa map=name conf=name output=name [--overwrite] [--verbose] [--quiet]

Flags:

--overwrite: Allow output files to overwrite existing files
--verbose: Verbose module output
--quiet: Quiet module output

Parameters:

map=name: Name of input raster map
conf=name: Configuration file
output=name: Name for output raster map

DESCRIPTION

r.li.mpa (mean pixel attribute) calculates the average value of the attribute of all the non-null cells in the sampling area as:
rlimpa formula

with:

i: attribute
m: number of non-null attributes in the sampling area
wi: number of cells of attribute i
size: size of sampling area (in cells)

NOTES

Do not use absolute path names for the output map/file. If the "moving window" method was selected in r.li.setup, then the output will be a raster map, otherwise an ASCII file will be generated in the $HOME/.r.li/output/ folder.

If the input raster map contains only NULL values then r.li.mpa considers to have 0 patches.
If area is 0 r.li.mpa returns -1; it is possible only if the raster is masked
If you want to change these -1 values to NULL, run subsequently on the resulting map:

r.null setnull=-1 map=my_map

after index calculation.

EXAMPLES

To calculate the mean pixel attribute index on map my_map, using my_conf configuration file (previously defined with r.li.setup) and saving results in my_out, run:

r.li.mpa map=my_map conf=my_conf output=my_out

Forest map (Spearfish sample dataset) example:

g.region rast=landcover.30m -p
r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
r.li.mpa map=forests conf=movwindow7 out=forests_mpa_mov7
r.univar forests_mpa_mov7

REFERENCES

McGarigal, K., and B. J. Marks. 1995. FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. USDA For. Serv. Gen. Tech. Rep. PNW-351. (PDF)

AUTHORS

Serena Pallecchi student of Computer Science University of Pisa (Italy).
Commission from Faunalia Pontedera (PI), Italy (www.faunalia.it)

Last changed: $Date: 2014-02-18 16:24:09 -0800 (Tue, 18 Feb 2014) $

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