Centre for Applied Statistics

Spatial Point Patterns - May 2017

Further information

Short courses

Duration

2 days


Dates and Time 

  • 9 - 10 May

Course will run from 9:00am - 5:00pm. Registration will open at 8:45am on the first day.


Facilitator

Prof. Adrian Baddeley (Curtin University, Australia)

Assoc. Prof. Ege Rubak (Aalborg University, Denmark)


Venue

The University Club

Terms and conditions

Short Course terms and conditions

Contact us

Centre for Applied Statistics

Description

Spatial point pattern datasets are becoming common across many fields of research. However, statistical methodology for analysing these data has not been easily accessible. This course is a practical introduction to the analysis of spatial point patterns with a strong focus on hands-on exercises throughout the course.

The course gives an in-depth introduction to spatstat, an R package for analysing spatial point patterns. The package supports a complete statistical analysis of spatial point pattern data: data input and inspection, calculations, plotting, exploratory data analysis, hypothesis tests, model-fitting, simulation, Monte Carlo methods and model diagnostics. The course will cover:

  • Basic statistical concepts used in spatial point pattern analysis
  • An overview of the capabilities of spatstat and how to find the way around
  • How to conduct a basic analysis of a point pattern dataset by:
    • Performing exploratory data analysis
    • Applying statistical summaries and nonparametric estimates
    • Fitting point process models to data (Poisson, Cox, and Gibbs point processes)
    • Running simulations and predictions from a fitted model
    • Validating a fitted model.

To obtain these outcomes the course will:

  • Begin with real examples and establish basic principles
  • Introduce relevant graphical/exploratory methods including nonparametric intensity estimation, pair correlation and Ripley's K-function
  • Demonstrate model building, model fitting, formal inference and model validation.

 

Prerequisites

Participants are recommended to have the following prerequisites

  • Basic familiarity with R
  • Basic familiarity with statistical concepts
  • Please bring your own laptop, with the latest version of R and spatstat installed. Please ensure that all the `Suggested' packages for spatstat are also installed.

 

Book

The first 20 paid registrations will receive a hard copy of "Spatial Point Patterns: Methodology and Applications with R" by Adrian Baddeley, Ege Rubak and Rolf Turner. All other participants will receive an ebook.    


Costs 

  • $220 for UWA or Curtin PhD or Masters by Research only (no coursework) students, SSA student members (GST inclusive)
  • $700 UWA or Curtin Staff, SSA members (GST inclusive)
  • $800 for all other enrolments (GST inclusive)

   
 
 

Centre for Applied Statistics

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Last updated:
Monday, 3 April, 2017 12:51 PM

http://www.cas.maths.uwa.edu.au/2994871