To-do

- [x] Write code to get elevation data
* Could use an elevation api or DTED 0 data for now
* [Overview of elevation data]( https://www.gislounge.com/overview-of-elevation-data/)
* [DTED data](http://vterrain.org/Elevation/dted.html)
* [Airmap API](https://developers.airmap.com/docs/elevation-api), lets you specify two locations and get a grid of data. Provides 1 arc second of spatial resolution, which is equivalent to DTED 2 data!
- [x] Apply for a developer role at Airmap to get an API key. Update: Have the API key. Another Update: It works without an API key for some reason, so it isn't necessarily so far.
- [x] Test the Airmap API key to get a grid of elevation data
* Waiting on SIBR grant to see about higher resolution DTED data
- [ ] Write code to generate the heatmap
- [x] Brainstorm other methods?
* Current method is doing cross-correlation with a "U" shape, with the opening facing towards the group that the soldiers would want to communicate with
- [x] Write pseudo code for heatmap algorithm
* The pseudo-code for the algorithm is relatively simple, but we need to figure out how we are going to pick the kernels
* Added a google doc in the DoD RF/Data Science Team google drive folder for the pseudo code
* [Scipy 2d cross-correlation](https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.correlate2d.html)
- [x] Edit the code to return back locations that are not too close to one another
- [ ] Create custom correlate function to change angle of kernel at each point
- [ ] Write code to interact with the frontend
- [x] Talk with SWE team and pick a framework to use
* Waiting for the SWE team to figure out how the plugin is going to function before deciding how to write this code
* Potential Options:
* [Flask](https://flask.palletsprojects.com/en/1.1.x/)
* [Django](https://www.djangoproject.com/)
- [ ] RF Classification portion
- [ ] Looking into the code
- [ ] Looking into the paper
- [ ] Thinking about how to incorporate it into the app