James Rineer

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Racial/Ethnic disparities in exposure to neighborhood violence and lung cancer risk in Chicago

Augmented synthetic populations as the innovative basis for microsimulation models, and geospatial analysis of alcohol use

Utilizing geospatial data for assessing energy security: Mapping small solar home systems using unmanned aerial vehicles and deep learning

Geospatial forecasting of COVID-19 spread and risk of reaching hospital capacity

Remote crop mapping at scale: Using satellite imagery and UAV-acquired data as ground truth

Modeling inpatient and outpatient antibiotic stewardship interventions to reduce the burden of Clostridioides difficile infection in a regional healthcare network

Deep neural networks and transfer learning for food crop identification in UAV images

The use of Sentinel-1 and -2 data for monitoring maize production in Rwanda

Creation of a geospatially explicit, agent-based model of a regional healthcare network with application to clostridioides difficile infection

Using synthetic populations to understand geospatial patterns in opioid related overdose and predicted opioid misuse

The watershed flow and allocation model: An NHDPlus-based watershed modeling approach for multiple scales and conditions

A geospatial dynamic microsimulation model for household population projections

A nationally consistent framework for identifying interstate waters with applications for the national listing of fish advisories

A nationally consistent framework for identifying interstate waters with applications for the National Listing of Fish Advisories (DOI: 10.1007/s10661-010-1318-6)

A Nationally Consistent NHDPlus Framework for Identifying Interstate Waters: Implications for Integrated Assessments and Interjurisdictional TMDLs

Mapping of sample collection data: GIS tools for the natural product researcher

Web-based spatio-temporal display of NC DETECT surveillance data