NAME
r.reclass.area - Reclasses a raster map greater or less than user specified area size (in hectares).
KEYWORDS
raster,
statistics,
aggregation
SYNOPSIS
r.reclass.area
r.reclass.area --help
r.reclass.area [-cd] input=name output=name value=float mode=string [method=string] [--overwrite] [--help] [--verbose] [--quiet] [--ui]
Flags:
- -c
- Input map is clumped
- -d
- Clumps including diagonal neighbors
- --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
- value=float [required]
- Value option that sets the area size limit (in hectares)
- mode=string [required]
- Lesser or greater than specified value
- Options: lesser, greater
- method=string
- Method used for reclassification
- Options: reclass, rmarea
- Default: reclass
r.reclass.area reclasses a raster map greater or
less than a user specified area size (in hectares).
If the -c flag is used, r.reclass.area will skip the
creation of a clumped raster and assume that the input raster is
already clumped.
In this example, the ZIP code map in the North Carolina sample dataset
location is filtered for large areas (removing smaller areas from the
map).
g.region raster=zipcodes -p
r.report zipcodes unit=h
Extract only areas greater than 2000 ha, NULL otherwise:
r.reclass.area input=zipcodes output=zipcodes_larger2000ha mode=greater value=2000
r.report zipcodes_larger2000ha unit=h
Figure: r.reclass.area method=reclass
In this example, the ZIP code map in the North Carolina sample dataset
location is filtered for smaller areas which are substituted with the
value of the respective adjacent area with largest shared
boundary. Reclass by substitutional removing of areas minor of 1000 ha:
r.reclass.area input=zipcodes output=zipcodes_minor1000ha mode=lesser value=1000 method=rmarea
Figure: r.reclass.area method=rmarea
r.reclass,
r.clump,
r.stats
NRCS,
Markus Neteler
SOURCE CODE
Available at:
r.reclass.area source code
(history)
Accessed: Sunday Jan 22 07:37:43 2023
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GRASS Development Team,
GRASS GIS 8.2.1 Reference Manual