Behavioral Change Point Analysis

最新推荐文章于 2024-11-25 16:27:41 发布

转载最新推荐文章于 2024-11-25 16:27:41 发布 · 739 阅读

Behavioral Change 专栏收录该内容

2 篇文章

订阅专栏

行为变化点分析(BCPA)是一种用于识别时间序列中隐藏参数变化的方法，特别适用于不规则采样的动物运动数据。该方法最初由E. Gurarie等人在2009年的《Ecology Letters》期刊上提出，并在作者的博士论文中有详细论述。

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 Chapter 5 of my PhD dissertation (click to access).

I have received numerous requests for the R 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 the code and a sample work flow of using the BCPA on this wiki. My apologies in advance for poor annotation.

Please feel free to ask questions or comment on the discussion page of the wiki-page (if you are logged on) or via email at: eliezg (at) uw.edu.

http://wiki.cbr.washington.edu/qerm/index.php/Behavioral_Change_Point_Analysis