A spatiodynamic model for assessing frost risk in south-eastern Australia
Date
2015
Authors
Bakar, Khandoker (Shuvo)
Kokic, Philip N
Jin, Huidong (Warren)
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Blackwell Publishing Ltd
Abstract
Previous climate research concluded that causal influences which have contributed to changes in frost risk in south-eastern Australia include greenhouse gas concentration, El-NiƱo southern oscillation and other effects. Some of the climatic indices representing these effects have spatiotemporal misalignment and may have a spatially and temporally varying effect on observed data. Other indices are constructed from grid-referenced physical models, which creates a point-to-area problem. To address these issues we use a spatiodynamic model, which comprises a blending of spatially varying and temporally dynamic parameters. For the data that we examine the model proposed performs well in out-of-sample validation compared with a spatiotemporal model
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Journal of the Royal Statistical Society Series C
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Journal article
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2037-12-31
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