Credit points: 15
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.
SchoolEngineering and Mathematical Sciences
Subject Co-ordinatorAndriy Olenko
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 4 - UG/Hons/1st Yr PG
Available as ElectiveNo
Prerequisites STA3AS or STA4AS and (STA3SI or STM3SI) or (STA4SI or STM4SI) or enrolment into SMDS
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsA sufficient background in probability and statistics is required to undertake this subject.
Minimum credit point requirementN/A
Analysing spatial point patterns in R.
PublisherWORKSHOP NOTES, VERSION 3.
Applied spatial analysis with R
AuthorBivand, R.S., Pebesma, E. J., Gomez-Rubio, V.
Statistics for spatial data
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Intended Learning Outcomes
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Melbourne (Bundoora), 2021, Semester 1, Day
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorAndriy Olenko
Lecture/PracticalWeek: 10 - 22
One 2.00 h 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.
|Four assignments (approx. 400 words each)||N/A||N/A||No||40||SILO1, SILO2, SILO3, SILO4|
|One 3-hour short answer Final Examination (approx. 3000 words)||N/A||N/A||No||60||SILO2, SILO3, SILO4|