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Spatio-Temporal Analysis of climatic data using additive regression splines

Sharples, Jade; Hutchinson, Michael


Environmental modelling often requires knowledge of the values of certain climatic variables at locations where no such information is available. When this is the case, one must rely on interpolated values derived from climatic data recorded at surrounding locations. The accuracy of the interpolated field, however, can often be critically dependent on the inclusion of additional predictor variables in the data models used to calculate the interpolated values. This is the case with...[Show more]

CollectionsANU Research Publications
Date published: 2005
Type: Conference paper
Source: MODSIM05: International Congress on Modelling and Simulation Advances and Applications for Managememnt and Decision Making Proceedings


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