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EDS 223

Geospatial Analysis and Remote Sensing

Ruth Oliver

Prerequisites: EDS 221 or equivalent and one of ESM 244, ESM 232, or equivalent

Units: 4


This course introduces the spatial modeling and analytic techniques of geographic information science to data science students. The emphasis is on deep understanding of spatial data models and the analytic operations they enable. Recognizing remotely sensed data as a key data type within environmental data science, this course will also introduce fundamental concepts and applications of remote sensing. In addition to this theoretical background, students will become familiar with libraries, packages, and APIs that support spatial analysis in R.

Course Syllabus: Fall 2023


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