This repository develops the application of deep learning to species distribution modelling (DL-SDM). The repository consists of three sub-projects:
- pilot - contains the same occurrences and GIS data as used in this application of a MaxEnt SDM to determine ecological niches of the world's ungulates. The purpose of this subproject is to assess the performance of DL-SDM in a like for like comparison with MaxEnt modelling.
- data_extended - incorporates additional occurrence data. The purpose of this project is to develop insight into the number of occurrences that needs to be collected for credible modelling.
- data_GIS_extended - also incorporates additional GIS data.
