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

Package details

AuthorNick Golding & Freya Shearer
MaintainerFreya Shearer <>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
SEEG-Oxford/seegSDM documentation built on May 9, 2019, 11:08 a.m.