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v.neighborsgrass - Online in the Cloud

Run v.neighborsgrass in OnWorks free hosting provider over Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

This is the command v.neighborsgrass that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

PROGRAM:

NAME


v.neighbors - Neighborhood analysis tool for vector point maps.
Makes each cell value a function of the attribute values assigned to the vector points or
centroids around it, and stores new cell values in an output raster map.

KEYWORDS


vector, algebra, statistics, raster, aggregation

SYNOPSIS


v.neighbors
v.neighbors --help
v.neighbors input=name [layer=string] output=name method=string size=float
[--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:
--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 vector map
Or data source for direct OGR access

layer=string
Layer number or name (’-1’ for all layers)
A single vector map can be connected to multiple database tables. This number
determines which table to use. When used with direct OGR access this is the layer
name.
Default: -1

output=name [required]
Name for output raster map

method=string [required]
Neighborhood operation
Options: count
Default: count

size=float [required]
Neighborhood diameter in map units

DESCRIPTION


Makes each cell value a function of the attribute values assigned to the vector points or
centroids around it, and stores new cell values in an output raster map layer.

EXAMPLE


Count the number of schools for a given grid (North Carolina sample dataset):
g.region vector=schools_wake res=100 -p -a
v.neighbors input=schools_wake output=schools_wake_3000m method=count size=3000
d.mon wx0
d.rast schools_wake_3000m
d.vect schools_wake
The result gives for each grid cell the number of points (here: schools) not farther than
1500 meter away (half of the given size value) from the respective cell center.

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