Chaos Characteristics of Tree-Ring Seriesby Garrett D. Jeong, Purdue Univ, West Lafayette, United States,
Abstract: Thirteen tree-ring series from the Salt and Verde River basins in Arizona are studied to distinguish between chaos and randomness. A chaotic moving average model that represents the time series as a convolution of a linear filter and an uncorrelated chaotic process is used. The results are compared to those given by the Grassberger-Procaccia algorithm (GPA) which can also identify the presence of low-dimensional chaotic dynamics.
Subject Headings: Algorithms | Rivers and streams | Hydrologic models | Mathematical models | Time series analysis | Salts | Trees | Arizona | North America | United States
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