r.reclass.area.1grass - Man Page
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
Description
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.
Examples
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
See Also
r.reclass, r.clump, r.stats
Authors
NRCS,
Markus Neteler
Source Code
Available at: r.reclass.area source code (history)
Accessed: Tuesday Mar 19 11:02:39 2024
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