|
Activity Number:
|
546
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Thursday, August 2, 2007 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Statistical Graphics
|
| Abstract - #309933 |
|
Title:
|
An Exploratory Stroll Along the Beach
|
|
Author(s):
|
Charlotte Wickham*+
|
|
Companies:
|
University of California, Berkeley
|
|
Address:
|
2545 Hillegass Ave, Berkeley, CA, 94704,
|
|
Keywords:
|
webcam ; functional pca ; environment ; climate change ; time series
|
|
Abstract:
|
Webcams monitoring New Zealand beaches for environmental change produce a huge amount of data. A single image can tell you what the weather is like, how big the surf is and how many people are sunbathing, but what can you learn when you have a collection of images from every hour of every day? Each pixel tells a story over time. How do we tell which ones are telling the same story? And how do the pixels relate back to the beach? I present an exploratory investigation of this data using functional data analysis. I investigate how treating a time series of images as functional data can help reveal the interesting bits. In particular, functional principal components can uncover pixels exhibiting similar variation over the time period observed. Interestingly, the scores on the components split the image into physically interpretable areas.
|
- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
Back to the full JSM 2007 program |