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This is the command v.what.rast3grass 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.what.rast3 - Uploads 3D raster values at positions of vector points to the table.

KEYWORDS


vector, sampling, raster, position, querying, attribute table

SYNOPSIS


v.what.rast3
v.what.rast3 --help
v.what.rast3 map=name [layer=string] raster_3d=name column=name [where=sql_query]
[--help] [--verbose] [--quiet] [--ui]

Flags:
--help
Print usage summary

--verbose
Verbose module output

--quiet
Quiet module output

--ui
Force launching GUI dialog

Parameters:
map=name [required]
Name of vector points map for which to edit attributes
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

raster_3d=name [required]
Name of existing 3D raster map to be queried

column=name [required]
Name of attribute column to be updated with the query result

where=sql_query
WHERE conditions of SQL statement without ’where’ keyword
Example: income < 1000 and inhab >= 10000

DESCRIPTION


v.what.rast3 reads 3D raster value for each point in the vector and updates col column in
vector attribute table by this value. The column should be type double. This module is
based on v.what.rast.
If more points have the same category, attribute value is set to NULL. If 3D raster
values is NULL, attribute value is set to NULL.

NOTES


EXAMPLES


A) Reading values from 3D raster map at position of vector points, writing these values
into a column of the attribute table connected to the vector map:
v.what.rast3 map=pnts raster3d=plume column=concentration

B) In case of a vector map without attached attribute table, first add a new attribute
table. This table is then populated with values queried from the raster map:
# create new random 3d vector points map
v.random -z output=pnts npoints=100 zmin=0 zmax=50
# add new table, link to map
v.db.addtable map=pnts column="concentration double precision"
# query raster map and upload values to vector table into specified column
g.region raster3d=plume -p
v.what.rast3 map=pnts raster3d=plume column=concentration
# verify new attribute table:
v.db.select map=pnts
# verify statistics of uploaded values:
v.univar map=pnts column=concentration type=point

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