Spatial Analytics & Modeling
Analyzing geospatial data and building models to uncover patterns, trends, and spatial relationships.


One Spatial Lab applies and advances spatial science, remote sensing, and computational approaches to address complex challenges across human, animal, and environmental systems. The lab brings together interdisciplinary methods, collaborative research, and decision-oriented analytics to turn spatial data into practical insight.
Analyzing geospatial data and building models to uncover patterns, trends, and spatial relationships.
Identifying at-risk populations and regions to support targeted interventions and informed planning.
Designing AI-assisted tools and dashboards that support data-driven decisions and practical insight.
Integrating human, animal, and environmental data to address interconnected One Health challenges.

Climate & Health Resilience Initiative
May 12, 2025

Student & Partnership Milestone
Apr 28, 2025

GeoHealth 2025
Apr 10, 2025

Decision Support Tools
Mar 22, 2025

Assessing climate-sensitive health risks across neighborhoods using spatial vulnerability indicators.
Health • Climate • Vulnerability

Modeling the ecological drivers of vector-borne disease risk through spatial and environmental data.
Disease • Ecology • Modeling

Linking air quality observations with population exposure metrics to support public-health decision making.
Air Quality • Exposure • Analytics

Integrating field observations for human, animal, and environmental surveillance in One Health settings.
One Health • Surveillance • Field

Using geospatial infrastructure data to understand mobility, access, and service vulnerability across regions.
Mobility • Infrastructure • Access

Combining community indicators and environmental exposure data to support resilient local planning.
Community • Resilience • Planning

Designing spatial dashboards that synthesize health, climate, and environmental metrics for decision-makers.
Dashboards • Climate • Intelligence






