Modeling and Map Production using Random Forest and Related Stochastic Models

Creates sophisticated models of training data and validates the models with an independent test set, cross validation, or 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.


Reference manual

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install.packages("ModelMap") by Elizabeth Freeman, 3 years ago

Browse source code at

Authors: Elizabeth Freeman , Tracey Frescino

Documentation:   PDF Manual  

Task views: Analysis of Spatial Data

Unlimited license

Imports graphics, grDevices, stats, utils, mgcv, corrplot, fields, HandTill2001, PresenceAbsence

Depends on randomForest, raster, rgdal

Suggests party, quantregForest

See at CRAN