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Heumann, Benjamin

Associate Professor


More about Benjamin Heumann

  • 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.
  • 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.
  • 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.
  • 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).
  • 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
  • Ph.D., University of North Carolina and Chapel Hill, 2011
  • M.Sc., McGill University, 2007
  • B.Sc., (Honours), McGill University, 2004
  • Geospatial Data Science
  • Cartography and Geovisualization
  • Conservation GIS and Modeling
  • Applied Geography

Courses Taught

  • Remote Sensing
  • Cartography
  • Research Methods
  • Environmental Studies