Section: Spatial Data Mining : Part 4 | Geographic Information Systems (GIS) | Portail Enseignement en ligne

Section outline

This course treats a specific advanced topic of current research interest in the area of handling spatial, temporal, and spatio‐temporal data.
- Select activity Spatial Data Mining - Course
  
  Spatial Data Mining - Course File
  
  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
- Select activity Chat - Spatial Data Mining
  
  Chat - Spatial Data Mining
  
  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.