Analysis of Spatial-Temporal Data (DATA*6500)

Code and section: DATA*6500*01

Term: Summer

Instructor: Julie Horrocks


DATA*6500  Analysis of Spatial-Temporal Data  Summer Only  [0.50]  

This course introduces software tools and data science techniques for analyzing big geospatial data. An overview of raster-based geographic information systems (GIS) for identifying patterns and clusters in spatial-temporal data using state-of-the-art software and programming languages is provided. Concepts such as kriging/Gaussian processes, vgrams and autoregressive correlation structures are discussed. Data summaries and visualizations specific to spatial-temporal problems are introduced.

Restriction(s): Restricted Master of Data Science students.  


PDF icon Course Outline (Summer 2022)181.33 KB