STAT623 SPATIAL STATISTICS
| Course Code: | 2460623 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Statistics |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | |
| Offered Semester: | Fall Semesters. |
Course Objectives
Course Content
Purely spatial processes. Spatial autocorrelation. Distribution theory for spatial statistics. Analysis for point patterns. Parametric spatial models. Estimation and testing procedures. CCH: (1-0)1.
Course Learning Outcomes
The learning objectives of this course are that upon completion, the student should be able to: • Distinguish different types of spatial data (geostatistical, areal, point process) and understand how spatial autocorrelation plays a role in statistical modeling. • Use methods introduced in lectures to investigate spatial autocorrelation in example datasets provided as exercises. • Determine which spatial methods to use to in their own research and implement them using statistical software and geographic information systems. • Read and discuss new methods in the spatial statistics literature based on an understanding of the basic spatial statistics approaches, principles and main assumptions.