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ModelMap (version 3.4.0.1)

Modeling and Map Production using Random Forest and Related Stochastic Models

Description

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.

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Version

Install

install.packages('ModelMap')

Monthly Downloads

263

Version

3.4.0.1

License

Unlimited

Maintainer

Elizabeth Freeman

Last Published

September 11th, 2018

Functions in ModelMap (3.4.0.1)

model.mapmake

Map Making
model.build

Model Building
model.importance.plot

Compares the variable importance of two models with a back to back barchart.
model.interaction.plot

plot of two-way model interactions
ModelMap-internal

Internal ModelMap Functions
col2trans

colors to transparent colors
get.test

Randomly Divide Data into Training and Test Sets
model.diagnostics

Model Predictions and Diagnostics
model.explore

Exploratory data analysis
ModelMap-package

Modeling and Map Production using Random Forest and Related Stochastic Models
build.rastLUT

Build a raster Look-UP-Table for training dataset