analysis_cases.py
Script to do batch processing on a several different cases (vary scenario parameters, science data, etc).
main_driver.py
Script that orchestrates the MIP planner flow. The input science data file is expected to be in the 'data' folder. The results are written as a pickle file in the 'results' folder.
make_hotels.py
This script strategically places H hotels using K-Means clustering based on input data of vertex locations and scores.
process_input_data_ver2.py
Processes a CSV file containing science data (from scientists) and projects coordinates using a Lambert Conformal Conic projection. Saves the output as a tab-delimited file with projected coordinates and normalized yearly averages as scores.
scip/uav_charging_ver5.py
MIP planner script with SCIP solver for planning UAV flight paths in the presence of multiple charging stations.
print_results_ver3.py
Script to load results, print them, and plot (Cartesian or geographic coordinates) if necessary.
Plotting on geographic coordinates with a river map in the background requires the river_data/river_map.pkl file or corresponding shape files, which have not been synchornized with Github since the file size is large.