Spatial Computing. 3 credits

Catalog description

Comprehensive introduction to spatial computing using modern computing environments with emphasis on programming and problem solving. Introduces students to modern programming practices using both paradigms of imperative and object-oriented programming. Topics include 1) working with geospatial objects, such as points, lines and polygons; 2) hands-on experience in processing spatial data; 3) solving classic spatial computing problems, such as point-in-polygon tests and line segment intersection tests efficiently; 4) techniques for spatial navigation, such as shortest path algorithms spatial networks; 5) technical challenges such as storing, reading and parsing geospatial data. Tutorials and instruction assume no prior programming experience in Python or other programming languages. Offered by Geography/Geoinformation Sci . Limited to three attempts.