This is the final project for GEOG 5463: Fundamental of Earth Data Science Class. It examines soil saturation, slope, and modeled climate temperatures for Grand Teton and Rocky Mountain National Parks, with the goal for making a habitat suitability model for Tetraneuris Grandiflora (aka Old-Man-of-the-Mountain), with an emphasis on modeling where this wildflower might be found in the future. It uses data from the Polaris Soil Project, the NASA Shuttle Radar Topography Mission, the National Park Service, and the Northwest Knowledge Multivariate Adaptive Constructed (MACA) Datasets.
The repository is set up in the following way img: Images and plots, in jpg or html format, to be used with the portfolio post notebooks: Code in jupyter notebook. Also has subfolder for practice notebooks
The code runs from the following Juypter notebook: Tetraneuris-grandiflora_Portfolio_Post.ipynb
Perquisite to run it on your machine:
1. Miniconda or similar python packages installed on your machine
2. Earth Analytics Environment(instructions on how to download and use here: https://github.com/earthlab/earth-analytics-python-env)
3. VScode or similar for running Juypter notebooks on your machine
To run: 1. Open in VS code be either fork or download 2. Make sure earth analytics environment is running 3. Select the earth analytics environment when asked what python kernal to run 4. Run code
So far, all the data has been plotted. What remains: 1. Reproject everything to each other 2. Build the fuzzy logic model 3. Compare habitat suitability from different climate models