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GIScience overview and list of faculty working in this specialty

Geographic Information Sciences aid in spatial problem solving and communication. Research and coursework emphasize Geographic Information Systems, Remote Sensing, Image Processing, Spatial Statistics, Qualitative Methods, Cartography and Visualization, and Spatial Modeling.

The Department undertakes significant research employing state-of-the-art methodology and offers extensive coursework on the subject at the graduate and undergraduate level. Remote Sensing involves the acquisition and analysis of information gathered from airborne platforms or satellite. This can involve the use of digital information for individual cells (pixels) or the interpretation of images. Geographic Information Systems (GIS) are computer based programs used to process and analyze information that is spatially distributed across the Earth's surface. GIS can be used to aid in the understanding of such diverse processes as population dispersion, crime patterns, air pollution, and just about any other process, feature or activity. Our CESAR facility is among the very best for the application of remote sensing and GIS to geographic problems.

Geography faculty also specialize in both quantitative spatial analysis, qualitative methods, and automated cartography, and offer extensive coursework and research opportunities in those areas.

People specializing in this area

Tenure / Tenure Track

Li An

  • Digital, 4-D holographic methodology (including geoComputation, visualization, space-time analysis, micro-level modeling, and 4-dimesional simulation)
  • Quantitative analysis/modeling  methods, metrics, and tools

Trent Biggs

  • Watershed analysis for multi-scale characterization of land cover change
  • 3D photo reconstruction of stream channels and hillslopes

George Christakos

  • Spatiotemporal modeling of natural systems in uncertain environments
  • Modern geostatistics and space-time statistics
  • Stochastic theory, probabilistic logic and risk assessment
  • Interdisciplinary Knowledge Synthesis and Temporal GIS
  • Fluid mechanics

Fernando De Sales

  • Regional dynamic downscaling
  • Forecast verification methods

Piotr Jankowski

  • Spatial Decision Support Systems
  • Public Participation GIS
  • Uncertainty
  • Sensitivity Analysis in Spatio-Temporal Models

Arielle Levine

  • Participatory mapping

Atsushi Nara

  • GIS
  • Spatio-Temporal Data Analytics
  • Geocomputation

André Skupin

Visual Data Mining. Geographic Visualization. Information Visualization. Natural Language Processing. Text Mining. Digital Humanities. Social Network Analysis. Human Mobility in Physical and Abstract SpacesSpatio-Temporal ModelingSemantic Web. Knowledge Analytics

Douglas A. Stow

  • Remote sensing and image processing
  • Multi-temporal image analyses
  • Image-based change detection
  • Urban dynamics

Ming-Hsiang Tsou

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