Skip to main content
×
Loading...

Introduction to GIS and Spatial Analysis for Social Scientists

Program(s): Undergraduate Courses

*Taught Online for Summer 2021*  This course provides an introduction and overview of how spatial thinking is translated into specific methods to handle geographic information and the statistical analysis of such information. This is not a course to learn a specific GIS software program, but the goal is to learn how to think about spatial aspects of research questions, as they pertain to how the data are collected, organized and transformed, and how these spatial aspects affect statistical methods. The focus is on research questions relevant in the social sciences, which inspires the selection of the particular methods that are covered. Examples include spatial data integration (spatial join), transformations between different spatial scales (overlay), the computation of “spatial” variables (distance, buffer, shortest path), geovisualization, visual analytics, and the assessment of spatial autocorrelation (the lack of independence among spatial variables). The methods will be illustrated by means of open source software such as QGIS and R.

Course Overview

Current Grade / Education Level

11th Grade
12th Grade
Undergrad / Grad

Program

Undergraduate Courses

Start Date

June 21

End Date

July 23

Class Details

Primary Instructor

Marynia Kolak

Academic Interest

Social Sciences (e.g., history, sociology)

Class Specifics

Course Code

GEOG 28702 91

Class Day(s)

Mon Tues Wed Thurs

Class Duration (CST)

10:00

11:30 A.M.

Session

Session I

Course Length

5 weeks