Jupyter notebook for hazard, exposure, and reconnaissance data integration and visualization

The purpose of this JupyterLab is to integrate field damage, hazard, and exposure data from past hurricane events. KeplerGl provides customizable geospatial map visualization and user-friendly analysis tools. Different kinds of data from different sources related to any hurricane event are collected. The exposure data from the National Structure Inventory (NSI) database and flood data from U.S. Geological Survey (USGS) are both collected via an application programming interface or API. API is storage-friendly and updates automatically. In that case, the script connects to the service provider. The field damage reconnaissance data from Structural Extreme Events Reconnaissance (StEER) is available from both DesignSafe and Fulcrum without an API, whereas the wind field data from the Applied Research Associates, Inc. (ARA) wind grid is on DesignSafe.