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.
Version: | 3.4.0.1 |
Depends: | R (≥ 2.13.0), randomForest, raster, rgdal |
Imports: | graphics, grDevices, stats, utils, mgcv, corrplot, fields, HandTill2001, PresenceAbsence |
Suggests: | party, quantregForest |
Published: | 2018-09-11 |
Author: | Elizabeth Freeman, Tracey Frescino |
Maintainer: | Elizabeth Freeman <eafreeman at fs.fed.us> |
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_3.4.0.1.tar.gz |
Windows binaries: | r-devel: ModelMap_3.4.0.1.zip, r-release: ModelMap_3.4.0.1.zip, r-oldrel: ModelMap_3.4.0.1.zip |
macOS binaries: | r-release: ModelMap_3.4.0.1.tgz, r-oldrel: ModelMap_3.4.0.1.tgz |
Old sources: | ModelMap archive |
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