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Not available at this time

Not available at this time

Automated geography helps us to understand the complex geographic phenomena that are intractable to solve by conventional techniques. This class focuses on opportunities for taking a computational approach to the solution of complex spatial problems, often non-deterministic. Through introductory lab practices and foundational lectures, the course covers various computer-based models and techniques applicable to spatial science, including expert systems, cellular automata, agent-based modeling, genetic algorithms, visualization, and data mining.

Automated geography helps us to understand the complex geographic phenomena that are intractable to solve by conventional techniques. This class focuses on opportunities for taking a computational approach to the solution of complex spatial problems, often non-deterministic. Through introductory lab practices and foundational lectures, the course covers various computer-based models and techniques applicable to spatial science, including expert systems, cellular automata, agent-based modeling, genetic algorithms, visualization, and data mining.

Not available at this time

Not available at this time

Students in WebGIS will explore web-based applications in geographic information science. This course will focus on hands-on practice using and building web-based mapping and analysis platforms, including Google Maps, ArcGIS Online, Leaflet, and Open Street Map. Along with conceptual discussion of how the internet, web servers, and cloud-based GIS services function, students will create and host web services relevant to their coursework, research, or professional goals.

This graduate-level course is aimed at students who have a foundation in basic GIS techniques and applications and are interested in expanding their knowledge into their area of spatial decision making and visualization of the decision maps. We will start with the linkage between GIScience, spatial analysis, and decision support. We will then discuss different decision-making techniques and highlight the important distinction between conventional MCDA methods and spatially explicitly multicriteria approaches.

This graduate-level course is aimed at students who have a foundation in basic GIS techniques and applications and are interested in expanding their knowledge into their area of spatial decision making and visualization of the decision maps. We will start with the linkage between GIScience, spatial analysis, and decision support. We will then discuss different decision-making techniques and highlight the important distinction between conventional MCDA methods and spatially explicitly multicriteria approaches.