SPATIAL ANALYSIS

STA4SA

2014

Credit points: 15

Subject outline

The subject surveys the theory of random fields, spatial processes, spatial statistics models, and their applications to a wide range of areas, including image analysis and GIS (geographic information system). The subject will cover the methodology and modern developments for spatial-temporal modelling, estimation and prediction, and spectral analysis of spatial processes. All the methods presented will be introduced in the context of specific datasets with GRASS and R software.

Faculty: Faculty of Science, Tech & Engineering

Credit points: 15

Subject Co-ordinator: Andriy Olenko

Available to Study Abroad Students: Yes

Subject year level: Year Level 4 - UG/Hons/1st Yr PG

Exchange Students: Yes

Subject particulars

Subject rules

Prerequisites: STA3AS and STA3SI

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Special conditions: N/A

Learning resources

Readings

Resource Type	Title	Resource Requirement	Author and Year	Publisher
Readings	Analysing spatial point patterns in R.	Recommended	Baddeley, A. 2008	WORKSHOP NOTES, VERSION 3.
Readings	Applied spatial analysis with R	Recommended	Bivand, R.S., Pebesma, E. J., Gomez-Rubio, V. 2008	SPRINGER.
Readings	Statistics for spatial data	Recommended	Cressie, N.A.C 1993	WILEY

Melbourne, 2014, Semester 1, Day

Overview

Online enrolment: No

Maximum enrolment size: N/A

Enrolment information:

Subject Instance Co-ordinator: Andriy Olenko

Class requirements

Lecture/PracticalWeek: 10 - 22
One 2.0 hours lecture/practical per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"Two contact hours per week."

Assessments

Assessment element	Comments	%
Four assignments		40
one 3-hour examination		60

Melbourne, 2014, Semester 2, Day