Introduction to Spatial Analysis and GIS
An introduction to Geographic Information Systems (GIS): a tool for visualizing and analyzing data representing locations and their attributes. GIS is invaluable for planners, scholars, and professionals who shape cities and a political instrument with which activists advocate for change. Class includes exercises to make maps, query databases, and analyze spatial data. Because maps and data are never neutral, the class incorporates discussions of power, ethics, and data throughout as part of a reflective practice. Limited enrollment; preference to first-year MCP students.
Fall 2019 · Introduction to Spatial Analysis
Geographic Information System (GIS) software manages data that represent the location of features (geographic coordinate data) and what they are like (attribute data); it also provides the ability to query, manipulate, and analyze those data. Because GIS allows one to represent social and environmental data on maps, it is a powerful tool for analysis and planning in various fields. This course is meant to introduce students to the basic capabilities of GIS.
Readings
- Maantay and Ziegler, GIS for the Urban Environment , Chapter 1
- Longley et al., Geographical Information Systems and Science , Chapter 1
- Longley et al., Chapter 2
- Slocum, et al., Thematic Cartography and Geographic Visualization , Chapter 1
- Maantay and Ziegler, Chapter 4
- Krygier and Wood, Making Maps , Chapters 8 and 9
- Kurgan, Close Up at a Distance , Chapter 9
- Kitchin et al., Rethinking Maps , Chapter 1
- Longley et al., Chapter 9
- Krygier and Wood, Chapter 3
- Maantay and Ziegler, Chapter 6
- Peters and MacDonald, Urban Policy and the Census , Chapters 1 and 2 (Chapter 3 optional)
- Turner, “Why America’s Schools Have A Money Problem” NPR, 2016
- Bloch et al., “Mapping the 2010 U.S. Census”
- Monmonier, How to Lie with Maps , Chapter 10
- Maantay and Ziegler, Chapter 9
- Maantay and Ziegler, Chapter 7
- Maantay and Ziegler, Chapters 9 and 12
Prerequisites & course information
Prereq: None G (Fall, Spring; first half of term) 2-2-2 units Credit cannot also be received for 11.188
Sources
- Course catalogue ↗2026–2027
- MIT OpenCourseWare ↗Fall 2019
- MIT OCW calendar ↗
- MIT OCW syllabus ↗
- MIT OCW readings ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.