GEOG 588
Analytical Approaches for Spatial Data Science

GEOG 588

New to GEOG 588?

Registered students - If this is your first visit to this course website, please take some time to become familiar with the course environment by clicking the Canvas link above.

This website provides an overview and syllabus for the course. The Resources menu links to a few supporting materials. Canvas, Penn State's course management system, is used to support the delivery of the primary instructional materials for the course lessons as well as provide the communications, calendaring, and submission tools for the course.

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Students who register for this Penn State course gain access to assignments and instructor feedback, and earn academic credit. Information about Penn State's Online Geospatial Education programs is available at the Geospatial Education Program Office.

Quick Facts about GEOG 588


Instructor: Marcela Suárez

Course Structure: Online, 12-15 hours a week for 10 weeks

Overview: GEOG 588 is an elective course for Penn State's Online Master of GIS. This section is being offered to students around the globe through Penn State's World Campus. The course consists of projects, associated readings, written assignments, and discussions about concepts.

This course focuses on theoretical discussions in spatial data science, as well as on applying a range of spatial data science skills and tools to solve real-world problems and model geographic phenomena. This includes reading, writing, and working with novel types of geographic data, and making static and interactive maps. Students will read, discuss, and synthesize research articles and develop coding solutions for data science tasks through a series of lab exercises. Discussion forums will provide a platform for students to address coding challenges and problems in a collaborative framework. Exercises using the tools introduced in the course will provide students an opportunity to troubleshoot and debug their code while creating reproducible programming/coding workflows. Students will apply concepts presented in the readings to compare existing spatial data science methods in order to select the appropriate methods to complete their semester project.

Penn State logo

Students who register for this Penn State course gain access to assignments and instructor feedback, and earn academic credit. Information about Penn State's Online Geospatial Education programs is available at the Geospatial Education Program Office.