varImpPlot.MM

check.model.type

imp.extract.sgb

imp.extract.rf

imp.scale

getRasts

diagnostics.function

model.SGB

prediction.SGB

rF.binary

prediction.rF.binary

rF.categorical

prediction.rF.categorical

rF.continuous

prediction.rF.continuous

create.model

prediction.model

production.prediction

internal

ModelMap-internal

This package will create sophisticated models of training
        data and validate 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. It will
        create 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
        chunks, and output to the .txt file the prediction for each
        data chunk, before reading the next chunk of data.

Elizabeth Freeman

ModelMap

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

ModelMap-internal function

Internal ModelMap Functions

ModelMap-internal: Internal ModelMap Functions

Description

Arguments

Details