skip to main content
10.1145/1066677.1066815acmconferencesArticle/Chapter ViewAbstractPublication PagessacConference Proceedingsconference-collections
Article

Identifying topological predicates for vague spatial objects

Published: 13 March 2005 Publication History

Abstract

Many geographical applications deal with spatial objects that cannot be adequately described by determinate, crisp concepts because of their intrinsically indeterminate and vague nature. GIS and spatial database systems are currently unable to handle this kind of data. Based on recent work on vague spatial data types, which are part of a formal data model called VASA (Vague Spatial Algebra) and which leverage exact models of crisp spatial data types, this paper introduces a general mechanism for identifying topological predicates for vague spatial objects by means of topological predicates for crisp spatial objects. We illustrate this mechanism by deducing these predicates for vague points.

References

[1]
T. Behr and M. Schneider. Topological Relationships of Complex Points and Complex Regions. Int. Conf. on Conceptual Modeling, pp. 56--69, 2001.
[2]
P. A. Burrough and A. U. Frank, editors. Geographic Objects with Indeterminate Boundaries. GISDATA Series, vol. 2. Taylor & Francis, 1996.
[3]
E. Clementini and P. Di Felice. An Algebraic Model for Spatial Objects with Indeterminate Boundaries, pp. 153--169. In Burrough and Frank {2}, 1996.
[4]
A. G. Cohn and N. M. Gotts. The 'Egg-Yolk' Representation of Regions with Indeterminate Boundaries, pp. 171--187. In Burrough and Frank {2}, 1996.
[5]
A. Pauly and M. Schneider. Vague Spatial Data Types, Set Operations, and Predicates. 8th East-European Conf. on Advances in Databases and Information Systems, 2004.
[6]
M. Schneider. Spatial Data Types for Database Systems - Finite Resolution Geometry for Geographic Information Systems, volume LNCS 1288. Springer-Verlag, Berlin Heidelberg, 1997.
[7]
M. Schneider. Uncertainty Management for Spatial Data in Databases: Fuzzy Spatial Data Types. 6th Int. Symp. on Advances in Spatial Databases, LNCS 1651, pp. 330--351. Springer-Verlag, 1999.

Cited By

View all

Index Terms

  1. Identifying topological predicates for vague spatial objects

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    SAC '05: Proceedings of the 2005 ACM symposium on Applied computing
    March 2005
    1814 pages
    ISBN:1581139640
    DOI:10.1145/1066677
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 13 March 2005

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. VASA
    2. cancellation rule
    3. clustering rule
    4. query language
    5. three-valued logic
    6. vague spatial data type

    Qualifiers

    • Article

    Conference

    SAC05
    Sponsor:
    SAC05: The 2005 ACM Symposium on Applied Computing
    March 13 - 17, 2005
    New Mexico, Santa Fe

    Acceptance Rates

    Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

    Upcoming Conference

    SAC '25
    The 40th ACM/SIGAPP Symposium on Applied Computing
    March 31 - April 4, 2025
    Catania , Italy

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 13 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media