Spatial Statistics


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Spatial is Special! This course introduces the fundamentals of spatial statistics, and describes the main contexts where you need to use spatial tools to understand processes. Students should have a background in statistics at the level of regression, as well as in statistical computing. The course involves a great deal of computing.

The goal of the course is to provide students with the background to explore and understand geographic data in a variety of situations. Many problems in the world focus on spatial data and patterns; this course will focus on examples and processes primarily from environmental management, public health, and urban planning/transportation. The modules will give students a broad overview of the three main areas of spatial statistics: point patterns, continuous (geostatistical) data, lattice (areal) data. You should walk away from this course with adequate foundation to explore more advanced tools in GIS.

Certificate: This course is required for the Professional Geospatial Data Analytics & Visualization Certificate or can be taken individually.

Offered: Spring (session 1), Summer (session 3), Fall (session 5). Session dates.

Length: 7 weeks.

Textbook: None.

Credit Version: Geo 866 (Spatial Data Analysis)

Prerequisite: None.

Author: Dr. Nathan Moore, Associate Professor in MSU-Geography.

How to Register: You can easily register for onGEO-SPST via Cashnet. Select the course you want to take from those listed in the store and follow these instructions (MSU GoogleDoc).