| Call Number | 17241 |
|---|---|
| Day & Time Location |
W 5:30pm-8:20pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Jeremy Porter |
| Type | TUTORIAL |
| Method of Instruction | In-Person |
| Course Description | This course builds upon foundational GIS and spatial analysis concepts and skills built in the introductory GIS course through the application of advanced spatial statistical modeling procedures. Students in the course will learn how it integrate GIS with statistical programming tools as a way to extend the utility of the GIS beyond a tool for mapping. Topics covered include 1) Graphical and quantitative description of spatial data, 2) Kriging, block kriging and cokriging, 3) Common variogram models, 4) Spatial autoregressive models, estimation and testing, 5) Spatial non-stationarity and associated modeling procedures and 6) Spatial sampling procedures. Students will complete a series of in-class labs and develop a final research project from these labs or an independent project. |
| Web Site | Vergil |
| Department | Environmental Health Sciences |
| Enrollment | 21 students (35 max) as of 9:14PM Wednesday, November 20, 2024 |
| Subject | Environmental Health Sciences |
| Number | P9380 |
| Section | 001 |
| Division | School of Public Health |
| Open To | GSAS, Public Health |
| Section key | 20241EHSC9380P001 |