GEOG 28702/38702 will be offered as a 5-week intensive course in Summer 2021.

Summer 2021
June 21-July 23GEOG 28702 (GEOG 38702; ARCH 28702; ENST 28702; SOCI 20283; SOCI 30283)

Introduction to GIS & Spatial Analysis

Marynia Kolak
M-T-W-Th 10-11:30AM

If you’ve ever been interested in learning more about spatial analysis or getting a geographic twist in computational thinking, this is the course to take. You may be interested in working with new types of spatial data to enhance a project in social science, economics, public health, crime, etc. You may be interested in learning some applied coding or extending the programming or statistical skills you already have. Or, you may just be curious about thinking about the world in a different way. The spatial perspective is a powerful conceptual and technical-scientific approach that facilitates new ways of viewing the world.

This course provides an overview of how spatial thinking is translated into specific methods to handle geographic information and statistical analysis, with a focus on research questions relevant in the social sciences. Basics of cartography, spatial data wrangling, and the essential elements of spatial analysis are introduced within this context. 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; this course does not teach a specific GIS software program.

GEOG 28702 is: