An object-field perspective data model for moving geographic phenomena

K. S. Kim, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We propose a new data model to represent dynamic and continuous geographic phenomena over spatiotemporal domain in moving-object databases. Existing data models of moving objects have shortcomings with respect to the representation of moving geographic phenomena involving continuous fields, such as temperature, elevation, and the degree of pollution. Moreover, in the case of a spatiotemporal model for continuous fields, it is difficult to deal with continuous movements through time. In this paper, we define a data type called moving field to represent both object-based and field-based views of geographic phenomena in spatiotemporal domains. The main feature of our model is that it integrates the spatial field model with the slice representation of moving objects. By introducing moving fields, we provide a new computational environment for analyzing various moving phenomena with numerical as well as geographic processing.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages410-421
Number of pages12
Volume6193 LNCS
DOIs
Publication statusPublished - 2010
Event15th International Conference on Database Systems for Advanced Applications, DASFAA 2010 - Tsukuba, Japan
Duration: 2010 Apr 12010 Apr 4

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6193 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th International Conference on Database Systems for Advanced Applications, DASFAA 2010
CountryJapan
CityTsukuba
Period10/4/110/4/4

Fingerprint

Data Model
Data structures
Moving Objects
Pollution
Spatio-temporal Model
Slice
Processing
Integrate
Object
Temperature
Model
Object-oriented databases

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Kim, K. S., & Kiyoki, Y. (2010). An object-field perspective data model for moving geographic phenomena. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6193 LNCS, pp. 410-421). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6193 LNCS). https://doi.org/10.1007/978-3-642-14589-6_42

An object-field perspective data model for moving geographic phenomena. / Kim, K. S.; Kiyoki, Yasushi.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6193 LNCS 2010. p. 410-421 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6193 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kim, KS & Kiyoki, Y 2010, An object-field perspective data model for moving geographic phenomena. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 6193 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6193 LNCS, pp. 410-421, 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010, Tsukuba, Japan, 10/4/1. https://doi.org/10.1007/978-3-642-14589-6_42
Kim KS, Kiyoki Y. An object-field perspective data model for moving geographic phenomena. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6193 LNCS. 2010. p. 410-421. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-14589-6_42
Kim, K. S. ; Kiyoki, Yasushi. / An object-field perspective data model for moving geographic phenomena. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6193 LNCS 2010. pp. 410-421 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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