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.
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.
