Line-based Data Structures

Line-Based Data Structures is a geographic data structure that organizes spatial information as sequences of connected coordinates to represent linear features, distinguished from other geometric representations by its focus on ordered vertex chains that encode topological connectivity and geometric shape of lines.

18

Publications

1.5K

Citations

35

Authors

17

Institutions

Publications per year

2017–2026

0

Authors

35

  1. MJ
    Max J. Egenhofer

    University of Maine, United States

    2 publications · 625 citations

    2

    h-index

  2. CH
    Chao-Tsung Huang

    National Taiwan University, Taiwan

    2 publications · 139 citations

    2

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  3. PT
    Po-Chih Tseng

    National Taiwan University, Taiwan

    2 publications · 139 citations

    2

    h-index

  4. LC
    Liang‐Gee Chen

    National Taiwan University, Taiwan

    2 publications · 139 citations

    2

    h-index

  5. JH
    Janet Harris

    University of Sheffield, United Kingdom

    1 publications · 17 citations

    1

    h-index

1–5 of 35

Venues

  1. Pattern Recognition

    2 publications · 30 citations

    2

    h-index

  2. Data & Knowledge Engineering

    DKE · 1 publications · 13 citations

    1

    h-index

  3. Survey Review

    1 publications · 23 citations

    1

    h-index

  4. CVGIP Image Understanding

    1 publications · 21 citations

    1

    h-index

  5. 1

    h-index

1–5