An object-oriented python package for species distribution modelling using deep learning. The package allows for a more intuitive and easy exploration of biodiversity patterns by modelling preferences for a great number of environmental variables.
Instructions for installing and using the sdmdl package can be found here.
The functionality of this package and the estimates of environmental preferences it obtains is demonstrated by way of a use case on domesticated crops and their wild progenitors.
The raw uninterpreted results of this case study can be found here.
- Comparative analysis of abiotic niches in Ungulates by E. Hendrix.
- Ecological Niche Modelling Using Deep Learning by M. Rademaker.
- CONTRIBUTING.md - hints for how to contribute to this project
- LICENSE - the MIT license, which applies to this package
- README.md - the README file, which you are now reading
- requirements.txt - prerequisites to install this package, used by pip
- setup.py - installer script
- data/ - contains some files that are (currently) required for data preprocessing - marked for deletion
- docs/ - contains documentation on package installation and usage
- sdmdl/ - the library code itself
- tests/ - unit tests