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MT4537 Spatial Processes

SCOTCAT credits:15
Academic year(s):2017/8
Level:
SCQF Level 10
Semester:2
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.

Place in programme(s) and relationship to other modules

Undergraduate

Optional for all programmes in the School.

UG Pre-requisite(s):MT3507 or MT3606
UG Anti-requisite(s):MT4536

Learning and teaching methods and delivery

Weekly contact:2.5 lectures (weeks 1 - 10) and 4 tutorials over the semester.
Total module hours:
  • Scheduled learning: 29
  • Guided independent study: 121

Assessment pattern

UG As defined by QAA:
  • Written examinations: 100%
  • Practical examinations: 0%
  • Coursework: 0%
UG As used by St Andrews:2-hour Written Examination = 100%
UG Re-assessment:2-hour Written Examination = 100%

Personnel

Module coordinator:Dr J B Illian
Module teaching staff:Dr J B Illian