Fall 2023 Quantitative Methods: Social Sciences GR5070 section 001

GIS & SPATIAL ANALYSIS-SOC SCI

GIS & SPATIAL ANALYSIS-SO

Call Number 13811
Day & Time
Location
M 4:10pm-6:00pm
331 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 23 students (60 max) as of 6:05PM Wednesday, July 24, 2024
Subject Quantitative Methods: Social Sciences
Number GR5070
Section 001
Division Graduate School of Arts and Sciences
Note PRIORITY QMSS STUDENTS
Section key 20233QMSS5070G001