Object-oriented Geographic Data Models

Object-Oriented Geographic Data Models is a geographic data modeling paradigm that organizes spatial and attribute information into discrete, user-defined objects with encapsulated properties and behaviors, distinguishing it from field- or network-based representations by emphasizing identity, inheritance, and encapsulation mechanisms drawn from object-oriented programming.

72

Publications

4.4K

Citations

173

Authors

68

Institutions

Publications per year

2017–2026

3

Authors

173

  1. MF
    Michael F. Goodchild

    University of California, Santa Barbara, United States

    3 publications · 680 citations

    3

    h-index

  2. MW
    Michael Worboys

    University of Maine, United States

    3 publications · 398 citations

    3

    h-index

  3. TK
    Tiina Kilpeläinen

    University of Bergen, Norway

    2 publications · 60 citations

    2

    h-index

  4. TJ
    Thomas J. Cova

    University of Utah, United States

    2 publications · 626 citations

    2

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  5. OG
    Oliver Günther

    Humboldt-Universität zu Berlin, Germany

    2 publications · 63 citations

    2

    h-index

1–5 of 173

Venues

  1. 18

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  2. The Cartographic Journal

    3 publications · 94 citations

    3

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  3. Computers & Graphics

    2 publications · 946 citations

    2

    h-index

  4. Information and Software Technology

    2 publications · 36 citations

    2

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  5. 2

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1–5