Advanced Geographic Information System Project
Provides instruction in statistical approaches for analyzing interrelation, clustering, and interdependence, which are often key to understanding urban environments. Covers local and global spatial autocorrelation, interpolation, and kernel density methods; cluster detection; and spatial regression models. Develops technical skills necessary to ask spatial questions using inferential statistics implemented in the R statistical computing language. Prior coursework or experience in geographic information systems (GIS) at the introductory level required; prior coursework or experience in R is preferred.
Spring 2003 · Spatial Database Management and Advanced Geographic Information Systems
Topics
- Metadata and MIT’s Geodata Tool
- ESRI’s Spatial Database Engine
- Serving Maps on the Web
- On-site Visit and Meeting with Client
- Meeting with Consultant
- Project Work
- On-site Work with Client
- On-Site Project Presentation
- Challenges, Opportunities, and Next Steps
Readings
- Worboys, Michael F. GIS: A Computing Perspective. London: Taylor & Francis, 1995. (Paperback). Note: The book appears to have been repackaged in 1998 or 1999, but this appears to be the same book regardless as they have the same ISBN.
- Loney, Kevin, and George Koch. Oracle 8i: The Complete Reference. Berkeley: Osborne McGraw-Hill, 2000.
- Oracle 8: The Complete Reference. Berkeley: Osborne McGraw-Hill, 1997.
- Trimble, Harvey J., Jr., and David Chappell. A Visual Introduction to SQL. New York: John Wiley & Sons, 1989.
- Using ArcView Spatial Analyst. Redlands, CA: Environmental Systems Research Institute, 1996.
- Using ArcView 3D Analyst. Redlands, CA: Environmental Systems Research Institute, 1998.
Prerequisites & course information
Prereq: ( 11.205 and 11.220 ) or permission of instructor G (Fall; second half of term) Not offered regularly; consult department Units arranged Can be repeated for credit.
Sources
- Course catalogue ↗2026–2027
- MIT OpenCourseWare ↗Spring 2003
- 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.