GRASS logo

NAME

r.pi.prox - Calculates correlation of two raster maps by calculating correlation function of two corresponding rectangular areas for each raster point and writing the result into a new raster map.

KEYWORDS

raster, landscape structure analysis, proximity analysis

SYNOPSIS

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

Flags:

-a
Set for 8 cell-neighbors. 4 cell-neighbors are default
--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 [required]
Name of input raster map
output=name [required]
Name for output raster map
keyval=integer [required]
Key value
method=string [required]
Operation to perform on fragments
Options: proximity index, modified proximity index, neighborhood index
min=integer
Minimum range for the operation measured by pixels, default 0
max=integer
Maximum Range for the operation measured by pixels, default copmlete map
title="phrase"
Title for resultant raster map

Table of contents

DESCRIPTION

Calculates different proximity indices using defined buffer areas.

NOTES

...

EXAMPLE

An example for the North Carolina sample dataset:
g.region -d
...

SEE ALSO

pi.index, r.pi.neigh, r.pi

AUTHORS

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.prox source code (history)

Latest change: Tuesday Sep 19 09:59:22 2023 in commit: e76c325998c8cd9053ce012a5adbb79f33ab0779


Main index | Raster index | Topics index | Keywords index | Graphical index | Full index

© 2003-2024 GRASS Development Team, GRASS GIS 8.5.0dev Reference Manual