Résumé de section
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This course treats a specific advanced topic of current research interest in the area of handling spatial, temporal, and spatio‐temporal data.
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This course will start with defining spatial data science and answering why spatial is special from three different perspectives - business, technology, and data. As well, this course explores the application of spatial data science to uncover hidden patterns, visualization, and improve predictive modeling.
1. Spatial Data Mining - Link Book
https://link.springer.com/chapter/10.1007/0-387-25465-x_39
2. Spatial Data Science Overview - Recorded lecture by Luc Anselin at the University of Chicago (October 2016).
3. Spatio-Temporal Data Mining in Encyclopedia of Database Systems. Springer
https://link.springer.com/referenceworkentry/10.1007/978-0-387-39940-9_361
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This activity is part of the spatial Data Mining part. As well, it falls within the framework of strengthening students' knowledge of the two concepts GIS and Machine/depp learning.
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