Spatial Data Science 1

Catalog description

This practical hands-on course will introduce you to some of the main programming concepts and techniques relevant to computational methods of Spatial Data Science. The Course starts with the basics of algorithms, and work through examples of reading and writing pseudocode for some general, mathematical, and spatial operations. We will then dive into the nuts and bolts of Python as a first language and learn how to translate some basic operations into running code, in the context of representing and processing geospatial data. The class will also review some of the most commonly-used open- and closed-source Python libraries for spatial programming.