Constraint-based Generalization

Constraint-Based Generalization is a cartographic generalization method that systematically derives map representations by satisfying a set of predefined spatial, semantic, and geometric constraints to preserve essential characteristics of geographic features during scale reduction.

12

Publications

780

Citations

27

Authors

16

Institutions

Publications per year

2017–2026

3

Authors

27

  1. LH
    Lars Harrie

    Lund University, Sweden

    2 publications · 134 citations

    2

    h-index

  2. GT
    Guillaume Touya

    Institut national de l’information géographique et forestière, France

    1 publications · 37 citations

    1

    h-index

  3. MZ
    Martin Zachariasen

    University of Copenhagen, Denmark

    1 publications · 10 citations

    1

    h-index

  4. MV
    Marcos Vaz Salles

    Cornell University, United States

    1 publications · 10 citations

    1

    h-index

  5. GX
    Gong Xianyong

    PLA Information Engineering University, China

    1 publications · 22 citations

    1

    h-index

1–5 of 27

Venues

  1. Cartography and Geographic Information Science

    2 publications · 176 citations

    2

    h-index

  2. Journal of Geovisualization and Spatial Analysis

    JGSA · 1 publications · 37 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 17 citations

    1

    h-index

  4. DOAJ (DOAJ: Directory of Open Access Journals)

    Repository · 1 publications · 22 citations

    1

    h-index

  5. The Cartographic Journal

    1 publications · 28 citations

    1

    h-index

1–5