Heumann, Benjamin
Professor
Biography
Benjamin Heumann is a broadly trained geographer who has worked on projects in Africa, Asia, Europe, Latin America, and North America. His research has examined a broad range of topics including remote sensing of vegetation, hindcasting of historical land cover, modeling human-environmental interactions, mapping wetlands with drones, and creating regional classifications along urban-rural gradients. He has also supported student research by helping with techniques, methods, and models of geospatial data.
Dr. Heumann is an InSciTE Teaching Fellow and works to integrate evidence-based prelogical practices that increase student engagement and learning outcomes. He teaches Sharing STEM Knowledge in the InSciTE program and Fundamentals of Remote Sensing, Advanced Cartography, Sustainability and Environmental Policy, and Geography Capstone in the Geography and Environmental Studies Department. Past students have won state and national awards for their cartography and GIS projects. Dr. Heumann enjoys inviting alumni back to CMU to share their wisdom and project students an opportunity to see how classroom knowledge translates into future careers.
Dr. Heumann believes in the value of service and is particularly interested in curricular development and revision. He has contributed to developing several new programs such as Undergraduate Certificate in Cartographic Design, Marketing Environmental Sustainability, and Integrating Science and Technology. He has also lead efforts to revising programs like the Sustainability, Environment, and Society major and the Sustainability and Environmental Policy Minor. At the university level, Dr. Heumann has lead revision of the B.A. and B.S. degree requirements and the General Education Program at CMU. He also serves on several interdisciplinary committee including the Drones Lab, Neithercut Woods, and InSciTE council.
More about Benjamin Heumann
Publications & Presentations
- Fiaschetti, M., M. Graziano, and B. W. Heumann. 2021. "A data-based approach to identifying regional typologies and exemplars across the urban-rural gradient in Europe using affinity propagation." Regional Studies 55 (12): 1939-1954. https://doi.org/10.1080/00343404.2021.1871598.
- Heumann, B. W., M. Graziano, and M. Fiaschetti. 2022. "A Data-Driven Algorithm to Redefine the US Rural Landscape: Affinity Propagation as a Mixed-Data/Mixed-Method Tool." Economic Development Quarterly 36 (3): 294-316. https://doi.org/10.1177/08912424221103556.
- Heumann, B. W., M. E. Liesch, N. R. Bogen, R. A. Meier, and M. Graziano. 2020. "The contiguous United States in eleven zip codes: identifying and mapping socio-economic census data clusters and exemplars using affinity propagation." Journal of Maps 16 (1): 57-67. https://doi.org/10.1080/17445647.2020.1736193.
- Widmer, B. W., T. M. Gehring, B. W. Heumann, and K. E. Nicholson. 2022. "Climate change and range restriction of common salamanders in eastern Canada and the United States." Journal of Wildlife Management 86 (5). https://doi.org/10.1002/jwmg.22235.
- Heumann, BW; Hackett RA; Gross JW. 2018. The Remote Sensing of Biodiversity: From Global to Local Scales. Invited chapter in Comprehensive Remote Sensing Vol. 9 - Remote Sensing Applications for Societal Benefits.
- Ed. Stephen J. Walsh. Glon, HE, Heumann, BW, Carter, JR, Bartek, JM, Monfils, AK. 2017. The contribution of small collections to species distribution modelling: A case study from Fuireneae (Cyperceae). Ecological Informatics. 42, 67-78
- Gross, JW, and Heumann, BW. 2016. A Statistical Examination Of Image Stitching Software Packages For Use With Unmanned Aerial Systems. Photogrammetric Engineering & Remote Sensing 82.6 (2016): 419-425.
- Malanson, GP and Heumann, BW. 2016. Models and Data in Biogeography and Landscape Ecology. in Key Methods in Geography. SAGE Publications. Heumann, BW, Hackett, RA. and Monfils, AK. 2015. Testing the spectral diversity hypothesis using spectroscopy data in a simulated wetland community. Ecological Informatics.
- Heumann, BW. (2015). The multiple comparisons problem in empirical remote sensing – an introduction. Photogrammetric Engineering and Remote Sensing. Vol. 81:12. pp21-847 doi:10.14358/PERS.81.12.21.
- Heumann, BW, Hackett, RA. and Monfils, AK (2015). Testing the spectral diversity hypothesis using spectroscopy data in a simulated wetland community. Ecological Informatics.
- Heumann, B.W., Walsh, SJ, Verdery, AM, McDaniel, PM, Rindfuss, RR. (2013). Land Suitability Modeling using a Geographic Socio-Environmental Niche-Based Approach: A Case Study from Northeastern Thailand. Annals of the Association of American Geographers.
103 (4), 764-784
- Heumann, B.W. (2011) An Object-Based Classification of Mangroves using a Hybrid Decision Tree – Support Vector Machine Approach. Remote Sensing. 3, 2440-2460; doi:10.3390/rs3112440
- Heumann, BW. (2011) Recent Advances of the Remote Sensing of Mangrove Forests and Future Opportunities. Progress in Physical Geography. 35(1), 2011.
- Heumann, BW, JW Seaquist, L Eklundh, P Jonsson. (2007). “AVHRR Derived Phenology Change in the Sahel, Soudan, and Guinean Regions, Africa, 1982 – 2005”. Remote Sensing of Environment 108 (4): 385-392
Education
- Ph.D., University of North Carolina and Chapel Hill, 2011
- M.Sc., McGill University, 2007
- B.Sc., (Honours), McGill University, 2004
Research Interests
- Geospatial Data Science
- Cartography and Geovisualization
- Conservation GIS and Modeling
- Applied Geography
Courses Taught
- Remote Sensing
- Cartography
- Research Methods
- Environmental Studies