ModelMap: Modeling and Map Production using Random Forest and Stochastic Gradient Boosting

Creates sophisticated models of training data and validates the models with an independent test set, cross validation, or in the case of Random Forest Models, with Out Of Bag (OOB) predictions on the training data. Create graphs and tables of the model validation results. Applies these models to GIS .img files of predictors to create detailed prediction surfaces. Handles large predictor files for map making, by reading in the .img files in chunks, and output to the .txt file the prediction for each data chunk, before reading the next chunk of data.

Version: 3.3.5
Depends: R (≥ 2.13.0), randomForest, raster, rgdal
Imports: graphics, grDevices, stats, utils, mgcv, corrplot, fields, HandTill2001, PresenceAbsence
Suggests: party, quantregForest, gbm
Published: 2016-07-03
Author: Elizabeth Freeman, Tracey Frescino
Maintainer: Elizabeth Freeman <eafreeman at>
License: Unlimited
Copyright: see file COPYRIGHTS
NeedsCompilation: no
Citation: ModelMap citation info
Materials: ChangeLog
In views: Spatial
CRAN checks: ModelMap results


Reference manual: ModelMap.pdf
Vignettes: Exploratory Data Analysis with the ModelMap package
ModelMap: an R package for Model Creation and Map Production
Pick your flavor of Random Forest
Package source: ModelMap_3.3.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: ModelMap_3.3.5.tgz
OS X Mavericks binaries: r-oldrel: ModelMap_3.3.5.tgz
Old sources: ModelMap archive


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