AddOns/GRASS7/vector

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Revision as of 00:28, 19 June 2013 by Neteler (talk | contribs) (v.build.pg: +v.class.mlpy)

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See also

svn co https://svn.osgeo.org/grass/grass-addons/grass7/vector/

v.build.pg

v.build.pg (src) builds PostGIS topology for feature tables linked via v.external.

v.class.mlpy

v.class.mlpy (src) classifies vector features. It is an interface to the mlpy library (Machine Learning Python). Classification is supervised and based on attribute table data. Geometry is not used. A training dataset is always required.

v.colors2

v.colors (src) is much like r.colors, but may be used for vector maps.

v.concave.hull

v.concave.hull (src) creates a concave hull describing the shape of point clouds.

v.delaunay3d

v.delaunay3d (src) creates a 3D triangulation from an input vector map containing points or centroids.

Requires CGAL library.

Author: Martin Landa

v.external.all

v.external.all (src) creates (using v.external) in the current mapset new pseudo-vector maps for all OGR layers from given OGR datasource (dsn option).

v.in.geopaparazzi

v.in.geopaparazzi (src) imports all elements saved into Geopaparazzi.

v.in.ply

v.in.ply (src) is a C program that imports a PLY file and writes it as GRASS vector map.

Author: Markus Metz

v.in.redwg

v.in.redwg imports DWG files into GRASS., see also here
Author: Rodrigo Rodrigues da Silva

v.in.wfs2

v.in.wfs2 (src) imports OGC WFS maps (Web Feature Service) from external servers.

v.median

v.median (src) create the median point of a cloud of point.

v.net.salesman.opt

v.net.salesman.opt (src) estimates the optimal route to visit nodes on a vector network and optionally tries to improve the result.

v.out.ply

v.out.ply (src) is a C program that exports a GRASS vector map as PLY file.

Author: Markus Metz

v.ply.rectify

v.ply.rectify (src) imports a PLY point cloud, georeferences and exports it. The first three vertex properties must be the x, y, z coordinates with property names "x", "y", "z", in this order.

Author: Markus Metz

v.surf.icw

Inverse cost weighting is like inverse distance weighted (IDW) interpolation, but uses cost instead of shortest Euclidean distance. In this way solid barriers and molasses zones may be correctly taken into account.