[GRASS-stats] new module for multiple regression with large raster maps

[Dylan Beaudette]

Excellent! Can't wait to test it out. Already have several applications in
mind.
On Nov 8, 2011 1:28 AM, "Markus Metz" <markus.metz.giswork at googlemail.com>
wrote:

> Dylan Beaudette wrote:
> > On Friday, October 07, 2011, Markus Metz wrote:
> >> There is a new module r.regression.multi as grass7 add-on to calculate
> >> multiple regressions with raster maps. The motivation for this module
> >> is to calculate regression coefficients and statistics for very large
> >> datasets, too large for e.g. R. The module uses less than 3 MB memory
> >> for 400 million cells with one response variable and 8 predictors.
> >> Including residuals, this makes a total of 4 billion numbers.
> >> Calculation takes about 4 minutes for this dataset on my laptop. In
> >> addition to the slope estimates, statistics provided are R squared,
> >> adjusted R squared, F, AIC, corrected AIC, BIC for the full model, and
> >> F, AIC, corrected AIC, BIC for each predictor. Results are identical
> >> to those produced by R (with smaller test datasets).
> >>
> >> Markus M
> >> _______________________________________________
> >> grass-stats mailing list
> >> grass-stats at lists.osgeo.org
> >> http://lists.osgeo.org/mailman/listinfo/grass-stats
> >>
> >
> > Very cool. Can this module fit models from point data, and produce
> predictions
> > in the form of a raster?
>
> Yes, as of r49130. Residuals are also available as output raster.
>
> Markus M
>
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