| Abstract Detail
Ecophysiology Dong, Xuejun [1], Nyren, Paul [2], Patton, Bob [2], Nyren, Anne [2], Richardson, Jim [3], Maresca, Thomas [4]. Wavelet analysis: a toolbox for agricultural sciences. Although the general public sees wavelet more as a math-oriented methodology, the most critical developments of the modern wavelet theory, as occurred in the 1980s, were promoted by physical and engineering applications. This perhaps is the main reason why wavelet theory is intuitively understandable. However, the wide use of this important analytical tool in biological and agricultural sciences is still limited. At the same time, biologists and agricultural scientists are collecting and handling increasingly large amounts of data. Wavelet analysis may be used for the discovering of the “buried” structure and patterns within the large data set. This poster illustrates the main concept of wavelet transform using both a simple eight-sample signal and a series of drought severity data from the past 85 years from North Dakota. The purpose is to promote a wider use of the wavelet tool in biological and agricultural sciences. For the case study of the drought severity data of North Dakota, several important features of the periodicities of both the interannual and decadal scales, as well as several major droughts of the 20th century in this state were characterized using both the discrete and continuous wavelet transforms.
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1 - North Dakota State University, Central Grasslands Research Extension Center, 4824 48th AVE SE, Streeter, ND, 58483, USA
2 - North Dakota State University, Central Grasslands Research Extension Center
3 - USDA- Natural Resources Conservation Service, 100 Centennial Mall North, Room 152, Lincoln, NE, 68508, USA
4 - 824 Regina Street, Philadelphia, PA, 19116, USA
Keywords:
Multiresolution analysis
Drought index
Time scale.
Presentation Type: Poster:Posters for Topics
Session: P
Location: Exhibit Hall (Northeast, Southwest & Southeast)/Hilton
Date: Sunday, July 8th, 2007
Time: 8:00 AM
Number: P69009
Abstract ID:1906 |
