Geospatial Information Systems
- Used data to develop solutions for geographic representation and analysis tasks
- Created, edited, and rectified spatial data
- Learned best practices for data management including metadata and documentation
Cartography
- Learned techniques of visual hierarchy to make effective maps that are readily understood
- Hands-on computer work in labs using arcGIS
- Other topics: map projections, coordinate systems, data classification
Syllabus
Image Analysis
- Introduction to physics and engineering principles of remote sensing
- Analysis of aerial and satellite data
Syllabus | Projects
Spatial Analysis
- Applied skills for quantitative methods of understanding spatial data
- Topics: autocorrelation, centrography, point-pattern analysis, modifiable aerial unit problem (MAUP)
Syllabus |
Example Work
Last updated on Dec 20, 2022