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Smoothing for spatiotemporal models and its application to modeling muskrat-mink interaction


Reference:

Zhang, W. Y., Yao, Q. W., Tong, H. and Stenseth, N. C., 2003. Smoothing for spatiotemporal models and its application to modeling muskrat-mink interaction. Biometrics, 59 (4), pp. 813-821.

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Abstract

For a set of spatially dependent dynamical models, we propose a method for estimating parameters that control temporal dynamics by spatial smoothing. The new approach is particularly relevant for analyzing spatially distributed panels of short time series. The asymptotic results show that spatial smoothing will improve the estimation in the presence of nugget effect, even when the sample size in each location is large. The proposed methodology is used to analyze the annual mink and muskrat data collected in a period of 25 years in 81 Canadian locations. Based on the proposed method, we are able to model the temporal dynamics which reflects the food chain interaction of the two species.

Details

Item Type Articles
CreatorsZhang, W. Y., Yao, Q. W., Tong, H. and Stenseth, N. C.
DepartmentsFaculty of Science > Mathematical Sciences
RefereedYes
StatusPublished
ID Code7278
Additional InformationID number: ISI:000187501100009

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