HeatShield

Iterating

Project Status:

How can extreme heat risk be quantified at neighborhood scale by integrating climate, environmental, and demographic data to identify communities facing compounded vulnerability?

HeatShield develops a data-driven framework for mapping and analyzing extreme heat risk at fine spatial resolution. The project integrates temperature data, air quality indicators, wildfire smoke exposure, land-use characteristics, and census-derived demographic variables to model compounded environmental and social vulnerability. By combining climate observations with population data, HeatShield identifies “double-burden” communities where exposure and sensitivity overlap. The resulting risk maps are designed to support targeted mitigation strategies, policy analysis, and equitable decision-making under increasing heat extremes.

Research at a Glance

Primary Methods

Spatial data analysis; multivariate modeling; data integration across environmental and demographic domains; geospatial visualization.

Data Sources

Gridded temperature datasets; air quality and wildfire smoke observations; land-use and urban surface data; U.S. Census demographic data.

Outputs

Neighborhood-scale heat risk maps; composite vulnerability indices; spatial exposure analyses; reproducible data pipelines.

GitHub Repo

https://github.com/blueleaflabs/heatshield

Publication URL

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