GEOG 5103: Intermediate Spatial Data Analysis
Ohio State University
An intermediate class in spatial data analysis for geography. This course focuses on multivariate model building and evaluation, with a special emphasis on multiple regression models commonly used by geographers: spatial regression, conditional autoregressive, and geographically weighted regression. Prereq: 4103 or introductory statistics course from Geography or other department. Not open to students with credit for 5100.
Average GPA: 2.76
Grade distribution records: 82 students across 5 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 25 | 30.5% |
| A- | 11 | 13.4% |
| B+ | 3 | 3.7% |
| B | 10 | 12.2% |
| B- | 5 | 6.1% |
| C+ | 2 | 2.4% |
| C | 6 | 7.3% |
| C- | 9 | 11.0% |
| F | 11 | 13.4% |
Based on 82 student grade records across 5 terms.