Description Usage Arguments Value
View source: R/BuildRFModels.R
Stack rasters and extract points data for elk, coyotes, and mountain lions
1 2 | BuildRFModels(data, ncpu, withold, trees, raspath, pathout, subset,
catname)
|
data |
data to be used to build RF model |
ncpu |
number of cpus to parallelize on |
withold |
percent of data (decimal format) to withold for training model (default 0.25) |
trees |
number of trees (maximum) to attempt to split on |
raspath |
path to raster stack |
pathout |
path to where predicted RF map should be written |
subset |
Logical. TRUE/FALSE. Whether to subset the data into categories |
catname |
name of category to split on |
studypath |
path to study area polygon (where you want to define availability) |
Returns a list object with RFData necessary to predict probably of use in RF models (elk, coyotes, and mountain lions)
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