Comparison of Deterministic and Stochastic Spatiotemporal Interpolation Methods for Ozone in the Conterminous U.S.
Document Type
Presentation
Presentation Date
8-5-2009
Abstract or Description
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.
Sponsorship/Conference/Institution
Joint Statistical Meetings (JSM)
Location
Washington, DC
Recommended Citation
Li, Lixin, Xingyou Zhang, Reinhard E. Piltner.
2009.
"Comparison of Deterministic and Stochastic Spatiotemporal Interpolation Methods for Ozone in the Conterminous U.S.."
Department of Mathematical Sciences Faculty Presentations.
Presentation 400.
https://digitalcommons.georgiasouthern.edu/math-sci-facpres/400
