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.

本JupyterLab旨在整合过往飓风事件中的实地损毁、灾害与暴露数据。KeplerGl提供可自定义的地理空间地图可视化功能与易用的分析工具。项目收集了各类源自不同渠道、关联各类飓风事件的相关数据。其中，来自美国国家结构清查（National Structure Inventory, NSI）数据库的暴露数据，以及美国地质调查局（U.S. Geological Survey, USGS）的洪水数据，均通过应用程序编程接口（Application Programming Interface, API）获取。该接口兼具存储友好性与自动更新能力，在此场景下，脚本将对接相关服务提供商。来自结构极端事件勘察（Structural Extreme Events Reconnaissance, StEER）的实地损毁勘察数据，可通过DesignSafe与Fulcrum双平台获取，无需借助API；而来自应用研究联合公司（Applied Research Associates, Inc., ARA）风场网格的风场数据，则仅部署于DesignSafe平台。