Data and Scoring
AreaHub's one-stop nationwide database of environmental and natural hazards is backed by rigorous data science and digital technology. We consult with top academics and data scientists to better understand environmental hazards and produce our reports. We also rely on robust and widely accepted approaches to data review and analysis.
To produce our reports, AreaHub uses a sophisticated and proprietary algorithm that incorporates data from a variety of accepted third-party sources. Our report conclusions depend on location and the availability and accuracy of the data available in a particular region. Some areas have more detailed information than others. The more data and the better data that is available, the more robust are the conclusions in our reports.
The AreaHub team is constantly working to improve our data, data sources, approaches and reports. As new data and model improvements become available, our reports may change over time.
Using publicly available datasets provided by credible sources, we run our proprietary geospatial algorithms, which take category specific parameters into account and rank the data into percentile clusters on a zip code and/or county level. Other methods for scoring take geospatial point-to-point or linestring-to-point distances and assign them a weighted score based on their respective ranges. Ranges are assigned and weighted using scholastically backed research indicating which levels are considered hazardous.If you have additional questions regarding our approach to data and scoring, please contact us at firstname.lastname@example.org and include "Data and Scoring" in the subject line.