v.kernel(1)

NAME
v.kernel - Generates a raster density map from vector points data using a moving 2D isotropic Gaussian kernel or optionally generates a vector density map on vector network with a 1D kernel

KEYWORDS
vector, kernel density

SYNOPSIS
v.kernel
v.kernel help
v.kernel [-oqv] input=name [net=name] output=string stddeviation=float [dsize=float] [segmax=float] [distmax=float] [mult=float]

  Flags:

-o  Try to calculate an optimal standard deviation with 'stddeviation' taken as maximum (experimental)

-q  Only calculate optimal standard deviation and exit (no map is written)

-v  Run verbosely

  Parameters:

input=name
    Input vector with training points

net=name
    Input network vector map

output=string
    output raster/vector map

stddeviation=float
    stddeviation in map units

dsize=float
    discretization error in map units Default: 0.

segmax=float
    maximum length of segment on network Default: 100.

distmax=float
    maximum distance from point to network Default: 100.

mult=float
    multiply the density result by this number Default: 1.

DESCRIPTION
Generates a raster density map from vector points data using a moving 2D isotropic Gaussian kernel or optionally generates a vector density map on vector network with a 1D kernel.

NOTES
The mult option is needed to overcome the limitation that the resulting density in case of a vector map output is stored as category (Integer). The density result stored as category may be multiplied by this number.

With the -o flag (experimental) the command tries to calculate an optimal standard deviation. The value of stddeviation is taken as maximum value. Standard deviation is calculated using ALL points, not just those in the current region.

LIMITATIONS
The modules only considers the presence of point, but not (yet) any attribute values.

SEE ALSO
v.surf.rst

AUTHOR
Stefano Menegon, ITC-irst, Trento, Italy
Radim Blazek (network part)

Last changed: $Date: 2005/01/11 10:23:39 $

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