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. The goals of this course are to teach basic geocomputation concepts through theory and practice to enable students to better use of the vast spatial data, exploit the value of this information resources and expand the spatial information towards analysis and modeling. Students are expected to design and implement a project which will enable them to practice the skills that they acquired during the course
This is a multimodal course, and meets with the following sections: University, UWW, and Mt. Ida locations.
Please contact your Advisor for more info.
Only UMASS student can register in this course.
Instructor Permission: Permission is required for interchange registration during the add/drop period only.