A comparison of spatio-temporal interpolation methods

Lixin Li, Peter Revesz

Research output: Contribution to book or proceedingConference articlepeer-review

32 Scopus citations

Abstract

This paper analyzes spatio-temporal interpolation methods based on shape functions, namely, the ST product and the tetrahedral methods. These methods yield data that can be represented and queried in constraint database systems. That is an advantage, because there are many constraint database queries that are not expressible in current geographic information systems. We illustrate and test our approach on an actual real estate database. The interpolations for house prices per square foot are compared on accuracy, storage requirement, error-proneness to time aggregation, and difficulty of representation. It is shown that the best method yields a spatio-temporal interpolation that estimates house prices (per square foot) with approximately 10 percent error, is less error-prone, and uses only linear constraints, which can be implemented in several recent constraint database systems.

Original languageEnglish
Title of host publicationGeographic Information Science - 2nd International Conference, GIScience 2002, Proceedings
EditorsMax J. Egenhofer, David M. Mark
PublisherSpringer Verlag
Pages145-160
Number of pages16
ISBN (Print)9783540442530
DOIs
StatePublished - 2002
Event2nd International Conference on Geographic Information Science, GIScience 2002 - Boulder, United States
Duration: Sep 25 2002Sep 28 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2478
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Geographic Information Science, GIScience 2002
Country/TerritoryUnited States
CityBoulder
Period09/25/0209/28/02

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