ModelMap (2.3.2)

Creates Random Forest and Stochastic Gradient Boosting Models, and applies them to GIS .img files to build detailed prediction maps..

This package will create sophisticated models of training data and validate the models with an independant test set, cross validation, or in the case of Random Forest Models, with Out OF Bag (OOB) predictions on the training data. It will creat graphs and tables of the model validation results. It will apply these models to GIS .img files of predictors to create detailed prediction surfaces. It will handle large predictor files for map making, by reading in the .img files in chuncks, and output to the .txt file the prediction for each data chunk, before reading the next chenk of data.

Maintainer: Elizabeth Freeman
Author(s): Elizabeth Freeman, Tracey Frescino

License: Unlimited

Uses: fields, gbm, lattice, PresenceAbsence, randomForest, raster, rgdal, survival

Released almost 8 years ago.