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A New Shape Function Based Spatiotemporal Interpolation Method

Research output: Contribution to book or proceedingChapterpeer-review

7 Scopus citations

Abstract

In this paper we propose a new spatiotemporal interpolation method for 3-D space and 1-D time geographic data. Similarly to the existing ST (space - time) product and the tetrahedral spatiotemporal interpolation methods, this new method is also based on shape functions. However, instead of only manipulating the time dimension as in the ST product and the tetrahedral methods, our new method combines 2-D shape functions in the (x,y) domain with the (z,t) domain shape functions. This method yields data that can be represented and queried in constraint databases and we discuss how to represent this new method in constraint databases. We also show certain unique properties of the new shape function based spatiotemporal interpolation method.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsBart Kuijpers, Peter Revesz
PublisherSpringer Verlag
Pages25-39
Number of pages15
ISBN (Print)3540221263, 9783540221265
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3074
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

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