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NAME

v.vol.idw - Interpolates point data to a 3D raster map using Inverse Distance Weighting (IDW) algorithm.

KEYWORDS

vector, Volume, voxel, interpolation, IDW

SYNOPSIS

v.vol.idw
v.vol.idw --help
v.vol.idw input=name [layer=string] output=name column=name npoints=count [--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 3D vector points map
layer=string
Number of vector layer field attribute to use for calculation
Default: 1
output=name [required]
Name for output 3D raster map
column=name [required]
Name of attribute column (data type must be numeric)
npoints=count [required]
Number of interpolation points
Default: 12

Table of contents

DESCRIPTION

v.vol.idw fills a RASTER3D raster volume matrix with interpolated values generated from a set of irregularly spaced data points using numerical approximation (weighted averaging) techniques. The interpolated value of a tile is determined by values of nearby data points and the distance of the cell from those input points. In comparison with other methods, numerical approximation allows representation of more complex volumes (particularly those with anomalous features), restricts the spatial influence of any errors, and generates the interpolated volume from the data points.

EXAMPLE

v.vol.idw input=map output=rastermap3d column=col_name npoints=36

SEE ALSO

g.region, v.in.ascii, v.in.db, v.surf.idw, v.vol.rst, v.to.rast3

AUTHOR

Jaro Hofierka, Department of Geography and Regional Development, University of Presov, Presov, Slovakia, hofierka@geomodel.sk

Modifications for raster3d library and vector format:
Noortheen Raja J, Institute of Remote Sensing, College of Engineering, Guindy, Anna University, India. jnoortheen@gmail.com

SOURCE CODE

Available at: v.vol.idw source code (history)

Latest change: Monday Jan 30 19:52:26 2023 in commit: cac8d9d848299297977d1315b7e90cc3f7698730


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