http://nautilytics.hurricane-map-animated.s3-website-us-east-1.amazonaws.com/
When a disaster strikes, many businesses rush to identify affected customers and react. For example, some may offer no-fee loans, reduce or remove late fees, or take other actions to assist customers in a time of need. Identifying affected customers is essential for businesses. As I was looking for information on areas most hit by disasters like hurricanes, tornados or earthquake in the United States, it occurred to me that there must be an easy way to do this within minutes. In this age of rich and abundant data, we can practically ask and answer questions before, during, and after disasters strike.
- Install Postgres
- Install Node
- Run
init
scripts- Run
./public/data/init-db.sh
to create and set-up database with PostGIS - Run
./public/data/init-counties.sh
to download and process the county shapefiles - Run
./public/data/init-hurricane-sandy-2012.sh
, to download and process Hurricane Sandy files and run/output the PostGIS intersection query - Run
./public/data/init-hurricane-katrina-2005.sh
, to download and process Hurricane Katrina files and run/output the PostGIS intersection query
- Run
- Install application dependencies and run the application
yarn # install all dependencies yarn start # start the application