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.
The functionality of this package and the estimates of environmental preferences it obtains is demonstrated by way of three use cases:
- Domesticated crops and their wild progenitors
- Mycorrhizal associations
- Secondary woodiness
The project builds on the previous results obtained by:
- MAXENT modelling by Elke Hendrix.
- Deep learning by Mark Rademaker.
- 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 of) the data for the use cases
- docs/ - contains project documentation files
- script/ - contains utility scripts
- sdmdl/ - the library code itself
- tests/ - unit tests