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Leyk, Stefan Associate Professor

Positions

Research Areas research areas

Research

research overview

  • Dr. Leyk's research focuses on three thematically overlapping areas of computational GIScience. First, he is interested in the development of geospatial models under uncertainty using probabilistic approaches and fuzzy set theory. He conducts research funded by NSF and NIH on models for small area estimation in demographic and health data. Second, Dr. Leyk's research is on dynamic phenomena in complex integrated systems in space and time. This research focuses on issues of spatial non-stationarity in disease and migration models in order to improve existing spatial statistical models. It also embraces problems due to temporal aggregation and variation in spatial variables to improve the understanding of underlying relationships and their changes over time. Third, Dr. Leyk develops pattern recognition techniques for feature extraction in maps, in particular historical maps, and remotely sensed imagery for land cover change detection and change analysis in population distributions.

keywords

  • uncertainty modeling in GIScience, cartographic pattern recognition, demographic small area estimation, dasymetric modeling, spatio-temporal modeling

Publications

selected publications

Teaching

courses taught

  • GEOG 3930 - Internship
    Primary Instructor - Fall 2018 / Spring 2019 / Fall 2019
    Provides an academically supervised opportunity for advanced geography or environmental studies majors to work in public and private organizations on projects related to the student's career goals and to relate classroom theory to practice. May be repeated up to 6 total credit hours. Instructor consent required.
  • GEOG 4103 - Geographic Information Science: Spatial Analytics
    Primary Instructor - Fall 2018 / Fall 2019
    Explores advanced topics in geospatial databases, spatial analytics and geoprocessing in a Geographic Information System (GIS). Emphasizes how geographic concepts are linked to methodological frameworks for recording, transforming, storing/retrieving, analyzing, and processing geographic data as well as various forms of uncertainty. Exercises demonstrate the application of GIS-based methods to real world scenarios in interdisciplinary settings. Same as GEOG 5103.
  • GEOG 4303 - Geographic Information Science: Spatial Programming
    Primary Instructor - Spring 2018 / Spring 2019
    Focuses on the extension of geographic information systems (GIS) through programming as well as on the development of algorithms for spatial analysis and information extraction in vector and raster data using open source tools. Covers concepts, principles and techniques of programming and solving spatial problems in natural and social science settings. Group projects will foster skillsets in implementing solutions to complex spatial problems. Recommended prerequisite: GEOG 4203. Same as GEOG 5303.
  • GEOG 4603 - GIS in the Social and Natural Sciences
    Primary Instructor - Summer 2018 / Summer 2019
    Introduces Geographic Information Systems and their underlying principles through interactive lectures and lab exercises. Students get basic skills for working in a GIS environment and learn how to handle and manage geospatial data, create maps and conduct geospatial analysis focusing on project tasks typically encountered in the social and natural sciences. Same as GEOG 5603.
  • GEOG 5103 - Geographic Information Science: Spatial Analytics
    Primary Instructor - Fall 2018 / Fall 2019
    Explores advanced topics in geospatial databases, spatial analytics and geoprocessing in a Geographic Information System (GIS). Emphasizes how geographic concepts are linked to methodological frameworks for recording, transforming, storing/retrieving, analyzing, and processing geographic data as well as various forms of uncertainty. Exercises demonstrate the application of GIS-based methods to real world scenarios in interdisciplinary settings. Same as GEOG 4103.
  • GEOG 5303 - Geographic Information Science: Spatial Programming
    Primary Instructor - Spring 2018 / Spring 2019
    Focuses on the extension of geographic information systems (GIS) through programming as well as on the development of algorithms for spatial analysis and information extraction in vector and raster data using open source tools. Covers concepts, principles and techniques of programming and solving spatial problems in natural and social science settings. Group projects will foster skillsets in implementing solutions to complex spatial problems. Recommended prerequisite: GEOG 4203/5203. Same as GEOG 4303.
  • GEOG 5603 - GIS in the Social and Natural Sciences
    Primary Instructor - Summer 2018 / Summer 2019
    Introduces Geographic Information Systems and their underlying principles through interactive lectures and lab exercises. Students get basic skills for working in a GIS environment and learn how to handle and manage geospatial data, create maps and conduct geospatial analysis focusing on project tasks typically encountered in the social and natural sciences. Same as GEOG 4603.

Background

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