SEEG-Oxford/seegSDM: Streamlined Functions for Species Distribution Modelling in the SEEG Research Group
The present focus is on ensemble boosted regression tree methods such as those used in Bhatt et al. (2013). This will be developed to incorporate other statistical models, methods for selection of pseudo-absence data and other modelling choices.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Nick Golding & Freya Shearer |
| Maintainer | Freya Shearer <freya.m.shearer@gmail.com> |
| License | GPL(>2) |
| Version | 0.1-9 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
