GEOG 172: INTER GEOG DATA
University of California, Santa Barbara
Quantitative methods for the analysis of geographical data. Topics includ e spatial clustering, spatial auto- correlation, spatial regression, and i ntroductory methods for analyzing point, area (lattice), and continuous d ata. Lab includes the use of statistical software for exploratory spati al data analysis.
Average GPA: 3.21
Grade distribution records: 534 students across 17 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 33 | 6.2% |
| A | 149 | 27.9% |
| A- | 100 | 18.7% |
| B+ | 68 | 12.7% |
| B | 55 | 10.3% |
| B- | 28 | 5.2% |
| C+ | 29 | 5.4% |
| C | 25 | 4.7% |
| C- | 12 | 2.2% |
| D+ | 4 | 0.7% |
| D | 7 | 1.3% |
| D- | 6 | 1.1% |
| F | 18 | 3.4% |
Based on 534 student grade records across 17 terms and 7 professors.
Instructors
- Ganti N K 188 students, Average GPA 3.34
- Murray A 115 students, Average GPA 2.82
- Sweeney S H 78 students, Average GPA 3.35
- Goulias K 46 students, Average GPA 3.60
- Kyriakidis P 46 students, Average GPA 3.27
- Noi E 43 students, Average GPA 3.37
- Burtner S A 18 students, Average GPA 2.32