This package leverages ungulate movement data to model and predict time and day of parturition. This is done using machine learning algorithms and simple movement statistics. These methods have been tested and verified only on ungulate (mule deer, elk and moose). As a courtesy, several functions that automate downloading data from common ungulate collar company websites are also included.
|Author||Matthew M. Hayes|
|Maintainer||Matthew M. Hayes <[email protected]>|
|Package repository||View on GitHub|
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