GGR473H1: Geospatial Big Data


Advances in sensing and mobile technologies have contributed to the increasing availability of large volume georeferenced data such as geo-tagged social media content, GPS traces, and crowdsourced maps. While geospatial big data provide a major source for innovation and analysis, challenges relating to data handling, processing, and interpretation have simultaneously arisen. In this course, students will build a critical understanding of the evolution, potential, and biases of geospatial big data. Knowledge of geo-computational techniques to handle geospatial big data and perform meaningful analysis will also be developed and applied.

10.0 credits
GGR401H1 (Special Topic: Geospatial Big Data), offered in Fall 2022
Social Science
Society and its Institutions (3)