Provided by: grass-doc_7.8.2-1build3_all
v.sample - Samples a raster map at vector point locations.
vector, sampling, raster
v.sample v.sample --help v.sample input=name [layer=string] column=name output=name raster=name [method=string] [zscale=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 point map Or data source for direct OGR access layer=string Layer number or name Vector features can have category values in different layers. This number determines which layer to use. When used with direct OGR access this is the layer name. Default: 1 column=name [required] Name of attribute column to use for comparison output=name [required] Name for output vector map to store differences raster=name [required] Name of raster map to be sampled method=string Sampling interpolation method Options: nearest, bilinear, bicubic Default: nearest nearest: Nearest-neighbor interpolation bilinear: Bilinear interpolation bicubic: Bicubic interpolation zscale=float Scaling factor for values read from raster map Sampled values will be multiplied by this factor Default: 1.0
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.
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.
Comparison of "elev_ned_30m" and "elev_srtm_30m" North Carolina sample dataset elevation models at random positions: # set computational region: g.region raster=elev_srtm_30m -p # generate random points: v.random output=random n=100 # add table with one column: v.db.addtable random col="elev_srtm30 double precision" # transfer elevations at random points into table: v.what.rast map=random rast=elev_srtm_30m col=elev_srtm30 # verify: v.db.select random # perform sampling on other elevation map: v.sample in=random col=elev_srtm30 rast=elev_ned_30m out=elev_samples #verify: v.db.select elev_samples #univariate statistics of differences between elevation maps: v.univar elev_samples column=diff type=point
g.region, v.random, v.what.rast Image Sampling Methods - GRASS Tutorial on s.sample (available as s.sample-tutorial.ps.gz)
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
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