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NAME
v.sample - Samples a raster map at vector point locations.
KEYWORDS
vector, raster, resample
SYNOPSIS
v.sample
v.sample help
v.sample [-bcq] input=name column=string output=name raster=name [z=float] [--overwrite] [--verbose] [--quiet]
Flags:
- -b
- Bilinear interpolation (default is nearest neighbor)
- -c
- Cubic convolution interpolation (default is nearest neighbor)
- -q
- Quiet
- --overwrite
- Allow output files to overwrite existing files
- --verbose
- Verbose module output
- --quiet
- Quiet module output
Parameters:
- input=name
- Vector map defining sample points
- column=string
- Vector map attribute column to use for comparison
- output=name
- Vector map to store differences
- raster=name
- Raster map to be sampled
- z=float
- Option scaling factor for values read from raster map. Sampled values will be multiplied by this factor
- Default: 1.0
DESCRIPTION
v.sample samples a GRASS raster map at the point
locations in the input file by either cubic convolution
interpolation, bilinear interpolation, or nearest neighbor
sampling (default).
This program may be especially useful when sampling for
cross validation of interpolations whose output is a raster
map.
NOTES
The output points will have the easting and northing of the input points.
The input category value is used. The input attribute, raster value
and difference is written to output.
When NULL values are encountered for a cell, zero value is used
instead. In these cases, more acurrate results may be obtained
by using the default nearest neighbor comparisons.
This program may not work properly with lat-long data when
the -bc flags are used.
When interpolation is done (i.e., the -bc flags are
used), values are assumed to be located at the centroid of
grid cells. Therefore, current resolution settings are
important.
EXAMPLE
Comparison of "elevation.dem" and "elevation.10m" Spearfish maps
at random places:
#generate random points:
v.random output=random n=100
#add table with one column:
v.db.addtable random col="el10 double"
#transfer elevations at random points into table:
v.what.rast rast=elevation.10m vect=random col=el10
#verify:
v.db.select random
#generate sampling from other elevation map:
v.sample in=random col=el10 rast=elevation.dem out=elev_sample
#verify:
v.db.select elev_sample
#univariate statistics of differences between elevation maps:
v.univar elev_sample col=diff type=point
SEE ALSO
g.region,
v.random,
v.what.rast
Image Sampling Methods - GRASS Tutorial on s.sample
(available as
s.sample-tutorial.ps.gz)
AUTHORS
James Darrell McCauley
when he was at:
Agricultural Engineering
Purdue University
Updated for GRASS 5.0 by Eric G. Miller
Updated for GRASS 5.7 by Radim Blazek
Last changed: $Date: 2012-07-19 03:10:03 -0700 (Thu, 19 Jul 2012) $
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