Dependencies:

plotly.version = 5.13.1

matplotlib.version = 3.5.3

pandas.version = 1.0.1

numpy.version = 1.18.1

geopandas.version = 0.10.2

'''Resource management is an important problem for any institution to be more effec- tive in actions with minimal dynamic changes required. This paper presents an opti- mization model for managing and allocating resources for wildfire control in the United States. The model considers the responsibilities of both county and national/federal agencies and addresses the issue of optimal placement of facilities and resources to minimize damages caused by wildfires while also being cost-efficient. A local resource placement strategy is proposed, based on seasonal prediction models, and an integer- programming technique is used to optimize resource management and allocation within the states. The proposed interactive model takes into account budget constraints and provides an optimal resource arrangement that reduces transportation costs. The find- ings of this study can inform policymakers and wildfire management agencies in their resource planning and allocation decisions'''

TAMIDS'23.ipynb: Integer Programming, WFL and WWF scoring

WildLandFire_Local.ipynb: WFL Calculations and results

Graphing_wildfires.ipynb: Feature extraction, creation and selection

Data_exploration.ipynb: Exploratory Data Analysis (EDA)

Visualization: Zip files have html files which were larger than 25 MB due to animated plots from plotly for different states over a few years. Other HTML files, ready to view on any browser