Academic year(s): 2017-2018
SCOTCAT credits : 15
ECTS credits : 7
Level : SCQF Level 10
Planned timetable: 10.00 am Mon (even weeks), Tue and Thu
This module will study probabilistic and inferential problems for spatial processes. It commences with a discussion on different types of spatial data. In the context of spatial point processes functional and non-functional summary characteristics for point patterns are considered. Spatial point process models, including homogeneous and inhomogeneous Poisson processes as well as Gibbs processes and Cox processes along with the approaches to parameter estimation and model evaluation, are introduced. Models in geostatistics based on empirical variograms and kirging approaches and spatial models for lattice data (CAR model, Gauss Markov random fields) are also discussed.
Pre-requisite(s): Before taking this module you must pass MT3507
Weekly contact: 2.5 lectures (weeks 1 - 10) and 4 tutorials over the semester.
Scheduled learning hours: 29
Guided independent study hours: 121
As used by St Andrews: 2-hour Written Examination = 100%
As defined by QAA
Written examinations : 100%
Practical examinations : 0%
Re-assessment: 2-hour Written Examination = 100%