GEOG-4254: R Programming for Geospatial Applications
Description: Geospatial data analytics using R programming language. Batch-processing capability for analyzing large vector and raster geospatial data including remote sensing imagery and GIS layers. Using R scripts, algorithms, and functions to implement spatial analysis and spatial-temporal modeling. Bridging open source GIS/remote sensing and Machine learning. Linux system and high-performance computing environment.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 2
Average GPA: 3.85 (A)
Strict A Rate (No A-) : 85.70%
Average Withdrawal Rate: 0.00%
| Yang Shao | 2023 | 85.7% | 14.3% | 0.0% | 0.0% | 0.0% | 0.0% | 3.86 | 2 |