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Activity Number: 422
Type: Contributed
Date/Time: Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics and the Environment
Abstract - #305489
Title: Comparison of Deterministic and Stochastic Spatiotemporal Interpolation Methods for Ozone in the Conterminous US
Author(s): Lixin Li*+ and Xingyou Zhang and Reinhard Piltner
Companies: Georgia Southern University and CDC and Georgia Southern University
Address: Department of Computer Sciences, Statesboro, GA, 30460-7997,
Keywords: spatiotemporal interpolation ; shape functions ; kriging ; cross-validation

This paper discusses and compares two spatiotemporal interpolation methods for a set of data with annual ozone concentration measurements in the conterminous United States: i) 3D shape function-based spatiotemporal interpolation method - a deterministic method, and ii) 3D kriging-based spatiotemporal interpolation method - a stochastic method. The comparison results show that the kriging-based method yields a better MAPE (Mean Absolute Percentage Error) value than the shape function-based method based on the leave-one-out cross-validation, especially in the beginning and ending years. However, the 3D shape function-based method has other advantages over the kriging-based method such as its invariance to coordinate scales and efficiency.

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