Course Description
This course provides the background and foundation necessary for geospatial analysis, with emphasis on spatial statistics. Introduction to data handling techniques, conceptual and practical geospatial data analysis and GIS in research will be provided. Problems raised by the use of geospatial data will be introduced to provide an awareness of issues, their consequences, and potential solutions. The focus of this course is application and interpretation of analytical methods, rather than derivation of techniques. Students will also explore the interoperability between open source analytical platforms (such as R) and GIS platforms, in addition to other open source software. Students should expect weekly assignments, lectures, and hands-on training using GIS and statistical software. Prior knowledge in basics of GIS is recommended. Topics include descriptive and inferential statistical methods for geospatial data.
SPRG 8W1 2022
Instructors
Classes Start:
January 10, 2022
Classes End:
March 1, 2022
Distance Education:
Yes
Class Type:
Lecture
Credits:
2.00
Delivery Method:
Internet
Restrictions:
Prerequisite: GIS 510
