Given a hazard index indicating the probability of wildfires, come up with metrics that indicate potential economic losses in the endangered areas

• import hazard index
  • import and study the raw data
  • pick area of interest
• import data on the topography from openstreetmaps, study the individual parts
  • extract builing footprints
  • points of interest
  • network centrality
  • landuse
• convert into metrics correlated with economic losses
  • size of building (area)
  • category of point of interest (value)
  • centrality of location (real estate price level)
  • landuse category (high-value (winery etc) or farmland)
• spatial merge the hazard index grid with the points and polygons with economic measures attached to them
• aggregate economic measures by pixel grid
• combine economic measures into an index
• analyse the result

Find the main file for analysis here. Run it in a docker container composed with docker-compose up after cloning the repository. You will have to create a data folder in the repository that holds the full map in a json.