GEOG 586
Geographic Information Analysis
Image
heat map of the eastern United States

In this data rich world, we need to understand how things are organized on the Earth's surface. Those features are represented by spatial data and necessarily depend upon what surrounds them. Spatial statistics provide insights into explaining processes that create patterns in spatial data. In geographical information analysis, spatial statistics such as point pattern analysis, spatial autocorrelation, and spatial interpolation will analyze the spatial patterns, spatial processes, and spatial association that characterize spatial data. Understanding spatial analysis will help you realize what makes spatial data special and why spatial analysis reveals a truth about spatial data.

At a Glance

Details

Credits
3.00
Topics
Applications in GIS
Technologies
ArcGIS Pro
GeoDa
R
SyllabusGEOG 586 Syllabus

Upcoming Offerings

Semester Instructor
Fall 2, 2022 Amy Burnicki, Ph.D.
Fall 2, 2022 Amy Griffin, Ph.D.
Spring 1, 2023 Marcela Suárez, Ph.D., Amy Griffin, Ph.D.
Spring 2, 2023 Amy Burnicki, Ph.D.
Summer, 2023 Fritz Kessler, Ph.D.
Fall 1, 2023 Marcela Suárez, Ph.D.
Fall 2, 2023 Amy Griffin, Ph.D.

Meet Our Faculty Instructors

Amy's research interests include investigating the perceptual and cognitive processes involved in map reading and applications of GIS to historical geography.

We offer over 30 courses in five 10-week terms each year: two every fall, two every spring and one every summer.