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 > [email protected] > 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? Dylan -- Dylan E. Beaudette USDA-NRCS Soil Scientist California Soil Resource Lab http://casoilresource.lawr.ucdavis.edu/ _______________________________________________ grass-stats mailing list [email protected] http://lists.osgeo.org/mailman/listinfo/grass-stats
