معرفی
Benjamin Heumann is a Professor in the Department of Geography and Environmental Studies within the College of Science and Engineering. His research spans geospatial data science, conservation GIS, and remote sensing, with methodological expertise in spatial clustering algorithms and mixed-method approaches. Educational background includes:
- Ph.D. in Geography, University of North Carolina at Chapel Hill (2011)
- M.Sc., McGill University (2007)
- B.Sc. (Honours), McGill University (2004)
His research integrates geospatial analysis with environmental and socioeconomic applications. Key domains include:
- Affinity propagation algorithms for regional typologies
- Climate impact modeling on species distributions
- Spectral diversity in wetland ecosystems
- Object-based classification of mangroves
- Methodological advances in remote sensing statistics
Publications demonstrate sustained output since 2007, with recent focus on data-driven spatial pattern detection across urban-rural gradients (2020-2022) and statistical validation of geospatial methods. Teaching covers core geospatial competencies including Remote Sensing, Cartography, and Research Methods.
