Call Number | 18872 |
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Day & Time Location |
T 10:10am-12:00pm 330 Uris Hall |
Points | 3 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Michael Parrott |
Type | SEMINAR |
Method of Instruction | In-Person |
Course Description | Prerequisites: Undergraduate Statistics This course introduces students to basic spatial analytic skills. It covers introductory concepts and tools in Geographic Information Systems (GIS) and database management. As well, the course introduces students to the process of developing and writing an original spatial research project. Topics to be covered include: social theories involving space, place and reflexive relationships; social demography concepts and databases; visualizing social data using geographic information systems; exploratory spatial data analysis of social data and spatially weighted regression models, spatial regression models of social data, and space-time models. Use of open-source software (primarily the R software package) will be taught as well. |
Web Site | Vergil |
Department | Quantitative Methods/Social Sciences |
Enrollment | 9 students (30 max) as of 5:08PM Saturday, September 7, 2024 |
Subject | Quantitative Methods: Social Sciences |
Number | GR5070 |
Section | 001 |
Division | Graduate School of Arts and Sciences |
Campus | Morningside |
Note | PRIORITY QMSS STUDENTS |
Section key | 20231QMSS5070G001 |