# Curriculum

The curriculum is what is covered in the lectures and by the exercises. The curriculum is based on sections of Noel Cressie and Christopher K Wikle. Statistics for Spatio-Temporal Data. (available as e-book trough the library, use oria.no)

- Chapter 1 (all, as overview)
- Chapter 2 (all, as overview)
- Chapter 4:
- Introduction: All
- Chapter 4.1: Introduction, 4.1.1 and 4.1.2
- Chapter 4.2: Introduction (as overview), 4.2.1, 4.2.2, 4.2.3, 4.2.4, 4.2.5, 4.2.6 (as overview)
- Chapter 4.3:Introduction, 4.3.1, 4.3.2 and 4.3.3

For Point Processes some of the material is only covered by: Statistical Analysis and Modelling of Spatial Point Patterns (2008) by Janine Illian, Antti Penttinen, Helga Stoyan, Dietrich Stoyan:

- Chapter 1: 1.1 (as overview), 1.2 (as overview)
- Chapter 4: 4.2.2 (edge correction, overview), 4.3.1, 4.3.3 (estimation, not all details) and 4.3.4 (overview)

For Lattice processes some material is only covered by Gaussian Markov Random Fields. Theory and Applications by Håvard Rue and Loenhard Held.

- Chapter 2.2 (except 2.2.5) and 2.3 (except 2.3.3)
- Chapter 5.2.3 (an example of Laplace approximation, INLA-light)

For the exercises might Bivand, Pebesma & Gomez-Rubio. Applied Spatial Data Analysis with R be useful (available as e-book through the library).