Aldo Leopold is considered to be one of the "founding fathers" of wildlife conservation in America. It's largely thanks to his writing that one of the seven tenets of the North American Model of Wildlife Conservation is that science should form the basis for informed management and decision-making processes.
In that spirit, the Data Science for Conservation Project applies data science tools to better analyze, understand, and visualize conservation issues. This repository holds a directory for each project:
Projects
- Analysis of Public Comments Regarding the EPA's Revised Definition of "Waters of the United States" Using Natural Language Processing
- Introduction to Working with Geospatial Data in Python to Find a Shipwreck
- Overview of the Land and Water Conservation Fund (LWCF)
- Overview of the Sources of Conservation Funding in the United States
Original datasets, some of which are saved in a /Data folder under their respective project, retain any original license and use policy under which they were released. Sources for datasets are noted in the project README or Jupyter Notebook. All other work in this repository falls under the given software license per repository. Other sources are noted where possible.
If you're interested in contributing to any project, please read the contributing guidelines to get started.