initialize.device

REQUIRE.party

REQUIRE.quantregForest

REQUIRE.gbm

mask.fun

mask.graphic

explore.continuous

explore.categorical

CF.list2df

CF.int2num

varImpPlot.MM

check.device.type

check.device.type.nodefault

check.predList

check.model.levels

check.model.type

check.response.type

check.response.name

imp.extract.sgb

imp.extract.rf

imp.extract.qrf

imp.extract.cf

imp.scale

getRasts

correlation.function

diagnostics.function

model.SGB

prediction.SGB

rF.binary

prediction.rF.binary

rF.categorical

prediction.rF.categorical

rF.continuous

prediction.rF.continuous

CF.binary

prediction.CF.binary

CF.categorical

prediction.CF.categorical

CF.continuous

prediction.CF.continuous

rF.quantreg

prediction.rF.quantreg

create.model

prediction.model

projcompare

projfix

FNcheck

grd2gri

production.prediction

internal

ModelMap-internal

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.

Elizabeth Freeman

ModelMap

Modeling and Map Production using Random Forest and Stochastic
        Gradient Boosting

ModelMap-internal function

Internal ModelMap Functions

ModelMap-internal: Internal ModelMap Functions

Description

Arguments

Details