Dr. Hoehun Ha is Assistant Professor of Geography specializing in Geographic Information System (GIS). His primary research interests focus on the linkages between socio-physical environment and human interactions, using GIS and statistical methodologies. His research includes 1) the spatial modeling of chemical exposure and risk assessment, and the investigation of soil contamination with toxic substances in Anniston, Alabama. He also has worked on 2) conservation easement suitability modeling : a case study from South-East Michigan and 3) roadkill hot-spots modeling using a geographic socio-environmental niche-based approach: a case-study from 3 state highways in Central California. Furthermore, in his current research, he has developed 4) spatial models in public health - physical / socioeconomic based approach; a case study from U.S counties.
His teaching interests cover a wide range of geography courses including: Introduction to GIS, Advanced GIS, GIS in Environmental Modeling & Management, GIS in Public Health, Cartography, Geography of World Region, Human Geography, Spatial Statistics, and Earth Systems Science.
Dr. Ha's publications have appeared in numerous internationally reputable scholarly journals including: Environmental Science & Technology, Computers, Environment and Urban Systems, Transportation, Applied Geography, Ecological Informatics, High Altitude Medicine & Biology, International Journal of Environmental Health Research, and International Journal of Environmental Research and Public Health. He is a member of Association of American Geographers (AAG) and Applied Geography Conference (AGC).
Assistant Professor of Geography, Auburn University , Auburn University at Montgomery
Postdoctoral associate, Central Michigan University
Associate Resesrch Fellow, Korea Research Institute for Human Settlements (KRIHS)
State University of New York at Buffalo, Ph.D in Geography
State University of New York at Buffalo, M.A in Geography
Utah State University , B.S in Environment and Society
A spatial epidemiology case study of mentally unhealthy days (MUDs): air pollution, community resilience, and sunlight perspectives, International Journal Of Environmental Health Research
Assessing community vulnerability to floods and hurricanes along the US Gulf Coast, Disasters
Using geographically weighted regression for social inequality analysis: Association between Mentally Unhealthy Days (MUDs) and socioeconomic status (SES) in U.S. Counties, International Journal Of Environmental Health Research
An Ecological Study on the Spatially Varying Relationship between County-Level Suicide Rates and Altitude in the United States, International Journal of Environmental Research and Public Health
Modeling potential wildlife-vehicle collisions (WVC) locations using environmental factors and human population density: a case-study from 3 state highways in Central California, Ecological Informatics
Geographic variation in Mentally Unhealthy Days (MUDs): air pollution and altitude perspectives, High Altitude Medicine & Biology
Analysis of Pollution Hazard Intensity: A Spatial Epidemiology Case Study of Soil Pb Contamination, International Journal of Environmental Research and Public Health
Modelling potential conservation easement locations using physical and socio-economic factors: A case-study from south-east Michigan, Applied Geography
Analysis of heavy metal sources in soil using kriging interpolation on principal components, Environmental science & technology
Spatial epidemiologic analysis of relative collision risk factors among urban bicyclists and pedestrians, Transportation
Risk-based characterization of contaminated industrial sites using a multivariate statistical and GIS-based approach in Anniston, Alabama, State University of New York at Buffalo
Analysis of traffic hazard intensity: A spatial epidemiology case study of urban pedestrians, Computers, Environment and Urban Systems
Geo-Spatial Information and Decision Support for Urban Planning, Wuhan University Press
Geographical Analysis of Pedestrian Accidents in Buffalo, NY using GIS applications, State University of New York at Buffalo