TMA4250 - Spatial Statistics

About

Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Work 30/100
Written examination 70/100 4 hours C

Course content

Parameter estimation, simulation and applications of Gaussian random fields, point fields and
discrete Markov random fields. Examples from image analysis, and environmental and natural
resource applications.

Learning outcome

1. Knowledge. The student has knowledge about basic concepts of the theory about Gaussian random fields, including spatial interpolation by various types of kriging, and algorithms for unconditional and conditional simulation. The student has also knowledge about basic
concepts of the theory of point random fields, including K- and L-statistics, spatial Poisson, Cox and hard-core fields, and simulation of such point fields. Moreover, the student has knowledge about basic concepts of the theory of discrete Markov random fields, including
simulation of Markov random fields by MCMC algorithms. Lastly, the student has knowledge of parameter estimation in spatial random fields.

2. Skills. The student can formulate statistical models for simple spatial phenomena, and perform parameter estimation under these models by use of suitable computer software. Moreover, the student can evaluate conditional models by stochastic simulation.

Learning methods and activities

Lectures and works (projects). Portfolio assessment is the basis for the grade awarded in the course. This portfolio comprises a written final examination (70%) and works (projects) (30%). The results for the constituent parts are
to be given in %-points, while the grade for the whole portfolio (course grade) is given by the letter grading system. Retake of examination may be given as an oral examination. The lectures may be given in English. If the course is taught in English, the exam may be given only in English. Students are free to choose Norwegian or English for written assessments.

Compulsory assignments

  • Work

Specific conditions

Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.

Course materials

Will be announced at the start of the course.

Credit reductions

Course code Reduction From To
SIF5064 7.5

Timetable

Detailed timetable

Examination

Examination arrangement: Portfolio assessment

Term Statuskode Evaluation form Weighting Examination aids Date Time Room *
Spring ORD Work 30/100
Summer KONT Work 30/100
Spring ORD Written examination 70/100 C 2017-06-02 09:00 DI42 , Storhall del 2
Summer KONT Written examination 70/100 C
  • * The location (room) for a written examination is published 3 days before examination date.
If more than one room is listed, you will find your room at Studentweb.