STATS 701 Advanced SAS Programming

Below description edited in year: 2011

Prereqs: STAT 210 and one of STAT 320 or STAT 325

Credit: Final exam = 50%, test = 25%, assignments = 25%

Textbooks: Analysing Spatial Point Patterns in R, Adrian Baddeley, CSIRO Technical Report 2010,
URL: http//www.csiro.au/resources/Spatial-Point-Patterns-in-R.html

For Advice: Rolf Turner (Email: r.turner@auckland.ac.nz | extn: 88276)

Taught: First Semester City

Website: STATS 701 website

This course will investigate techniques for analysing points patterns (collections of points randomly distributed in a region of space, most often two dimensional space). The points in such patterns could represent trees or plants, animal or bird nests, earthquake epicentres, petty crimes, domiciles of new cases of influenza, galaxies, etc. We will look at how useful information about such patterns can be extracted using the spatstat package in R. Some of the theory underlying the analysis of such patterns will be explained on an elementary and intuitive level.

Disclaimer:
Although every reasonable effort is made to ensure accuracy, this information for the course year (2012), is provided as a general guide only for students and is subject to alteration. All students enrolling at the University of Auckland must consult its official document, the University of Auckland Calendar, to ensure that they are aware of and comply with all regulations, requirements and policies.