On Fri, Aug 26, 2016 at 12:32 AM, Markus Metz <markus.metz.gisw...@gmail.com > wrote:
> >> If you ever wondered > >> why worldclim data (http://worldclim.org) follow so nicely elevation, > >> the reason is multivariate thin plate spline interpolation of > >> meteorological station data with elevation as a covariate. > >> [...] The module works only with GRASS 7.2+. > > > > It may be useful to note that you can preform similar operation with any > > version of GRASS GIS using v.vol.rst (3D interpolation using regularized > > spline with tension). The trick is using cross_* parameters to extract > the > > desired 2D raster. > > For one covariable, yes, but not for more covariables. E.g. worldclim > has been interpolated using elevation, latitude and longitude as > covariables. ...and the results from v.vol.rst are different from v.surf.rst with one variable (well, the logic/model behind is different). I actually missed that v.surf.tps can handle multiple covariables, so that's good to know. And v.vol.rst is rather slow. I didn't want to post this just yet, but yes, my preliminary tests showed that v.surf.tps is much faster than v.vol.rst.
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