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NAME

r.pi.index - Basic patch based indices

KEYWORDS

raster

SYNOPSIS

r.pi.index
r.pi.index help
r.pi.index [-a] input=name output=name keyval=integer method=string [title="phrase"] [--overwrite] [--verbose] [--quiet]

Flags:

-a
Set for 8 cell-neighbors. 4 cell-neighbors are default
--overwrite
Allow output files to overwrite existing files
--verbose
Verbose module output
--quiet
Quiet module output

Parameters:

input=name
Raster map containing categories
output=name
Output patch-based result as raster map
keyval=integer
The value of the class to be analysed
method=string
Operation to perform on fragments
Options: area,perimeter,shape,border,compactness,asymmetry,area-perimeter,fractal,ENN
title="phrase"
Title for resultant raster map

DESCRIPTION

r.fragment is a patch based fragmentation analysis package. Computation of basic fragmentation indices can be accomplished.

Available options for the index to be computed for patches within a certain class are: area (area), perimeter (perim), SHAPE (shape), Border-Index (bor), Compactness (comp), Asymmetry (asym), area-perimeter ratio (apr), fractal dimension (fract), distance to euclidean nearest neighbour (ENN).

NOTES

The Nearest Neighbour Index (ENN) analyse the Euclidean Nearest Neighbour to the first neighbouring patch. The output value is in pixel and can be converted to a distance values using g.region resolution information. r.pi.enn and r.fragment.fnn provide the same analysis concerning the first nearest neighbour (NN), but are extended to the n-th NN. However due to code construction does the r.pi.index distance analysis to first ENN perform faster. Methods: The method operators determine what algorithm is applied on the patches. r.pi.index can perform the following operations:

Area
The Area computes the area of each patch.
Perimeter
The Perimeter computes the perimeter of each patch.
Area-Perimeter ratio
The Area-Perimeter ratio divides the patch perimeter by the area.
SHAPE Index
The SHAPE Index divides the patch perimete by the minimum perimeter possible for a maximally compact patch of the corresponding patch area.
Border Index
The Border Index ....
Compactness Index
The Compactness Index ....
Asymmetry Index
The Border Index ....
Fractal Dimension Index
The Fractal Dimension Index ....
Nearest Neighbour Index
The Nearest Neighbour Index computes the Euclidean distance to the first nearest neighbour patch.

EXAMPLE

Examples based on the North Carolina sample dataset are provided below. Indices are calculated for the landscape class 5 (forest). set region settings to used landcover class map:
g.region rast=landclass96
computation of patch size (patch definition: 4-neighbourhood rule)
r.pi.index input=landclass96 output=landclass96_forestclass5_area keyval=5 method=area
# improve colouring of resulting map: 
r.colors landclass96_forestclass5_area col=bgyr
computation of patch size (patch definition: 8-neighbourhood rule)
r.pi.index input=landclass96 output=landclass96_forestclass5_area keyval=5 method=area -a
computation of patch isolation (euclidean distance to 1. nearest neighbour; patch definition: 4-neighbourhood rule)
r.pi.index input=landclass96 output=landclass96_forestclass5_ENN keyval=5 method=ENN -a

SEE ALSO

r.pi.enn, r.pi.import, r.pi.rectangle, r.pi

BUGS

Landscapes with more than 10 000 individual patches might cause a memory allocation error depending on your system.

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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