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Activity Number: 408 - SPAAC Poster Competition
Type: Topic Contributed
Date/Time: Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
Sponsor: Scientific and Public Affairs Advisory Committee
Abstract #330259
Title: A Functional Anova Approach to Detecting Changes in Soil Moisture and Temperature
Author(s): Manju M. Johny* and Petruta C. Caragea and Diane M. Debinski and Jill A. Sherwood
Companies: Iowa State University and Iowa State University and Montana State University and Iowa State University
Keywords: functional data ; climate change ; bootstrap; fanova ; interaction; time series
Abstract:

Climate change poses significant challenges to the soil ecosystem, with profound implications for many aspects of life. In addition, much of the data collected in the field pose interesting statistical challenges due to the presence of temporal dependence. Due to inherent dependencies in time series, many of the classical statistical inferential methods are inadequate. To overcome this difficulty, a functional anova approach may be utilized to compare groups of time series. We present an application in which climate change was experimentally simulated in the montane meadows, resulting in time series measurements of soil moisture and temperature. After smoothing the discrete measurements to obtain functional curves, an anova test for functional data is performed through a parametric bootstrap procedure to test equality of mean curves between treatment groups. Extending this procedure, we develop a method to test for interaction between treatments. We also develop and illustrate novel visualizations of the tests, which not only provide another facet in understanding the significance of the tests, but also allow for identification of when significant differences occur over time.


Authors who are presenting talks have a * after their name.

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