Behavioral Change Point Analysis

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Revision as of 22:12, 18 July 2011

PLEASE NOTE: THIS PAGE IS UNDER CONSTRUCTION!

The Behavioral Change Point Analysis (BCPA) is a method of identifying hidden shifts in the underlying parameters of a time series, developed specifically to be applied to animal movement data which is irregularly sampled.

The original paper on which it is based is: E. Gurarie, R. Andrews and K. Laidre A novel method for identifying behavioural changes in animal movement data (2009) Ecology Letters 12:5 395-408. Most of the material is also present in the Chapter 5 of my Pdf10.png PhD dissertation (click to access).

I have received numerous requests for the code behind the BCPA, so (after sending out more or less the same email with the same attachments several dozen times) have decided that it might be more efficient to post a sample work flow of using the BCPA on this wiki.

Eli 15:12, 18 July 2011 (PDT)

Contents

Brief Introduction

For details of the math/stats behind the BCPA, please see the article above....

Code pieces

Likelihood of ρ parameter

Likelihood of single change point

Window sweeping

Plotting output

Sample work flow

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