v.sample (1)

NAME

v.sample - Samples a raster map at vector point locations.

KEYWORDS

vector, sampling, raster

SYNOPSIS

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

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 "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

SEE ALSO

g.region, v.random, v.what.rast Image Sampling Methods - GRASS Tutorial on s.sample (available as s.sample-tutorial.ps.gz)

AUTHOR

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: 2014-12-19 22:17:36 +0100 (Fri, 19 Dec 2014) $

SOURCE CODE

Available at: v.sample source code (history)

Main index | Vector index | Topics index | Keywords index | Graphical index | Full index

2003-2017 GRASS Development Team, GRASS GIS 7.2.1 Reference Manual

GRASS 7.2.1 v.sample(1grass)