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

[Dylan Beaudette]

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
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Very cool. Can this module fit models from point data, and produce predictions 
in the form of a raster?

Dylan


-- 
Dylan E. Beaudette
USDA-NRCS Soil Scientist
California Soil Resource Lab
http://casoilresource.lawr.ucdavis.edu/