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Course Description

This course is designed to provide GIS practitioners with a number of statistical tools that will enhance their analysis of spatially related phenomena. Three broad areas will be examined: clustering, spatial autocorrelation and spatial autoregression; interpolation using a variety of techniques including Kriging; and data mining. Each section is introduced by briefly examining standard, non-spatial statistical methods and contrasting them with the spatial techniques that will move understanding of spatial relations beyond the mere visualization to the exploration and modelling of spatial data.

Requisites

Department Consent Required

Relevant Programs

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Course Sections

Class Number
5652
Type
LEC
Days
M
Time
6:30PM to 9:30PM
Dates
Jan 13, 2020 to Apr 13, 2020
Schedule
Contact Hours
39.0
Location
  • Downtown
Delivery Options
Classroom  
Compulsory Fees
Domestic Fee non-credit $864.25 Click here to get more information
International Fee non-credit $0.00 Click here to get more information