Data Simplification

Data Simplification is a data abstraction method that reduces the complexity of spatial datasets by selectively removing or generalizing details while preserving essential structural or semantic characteristics for efficient map compilation and appropriate spatial resolution representation.

56

Publications

2.6K

Citations

182

Authors

96

Institutions

Publications per year

2017–2026

21

Authors

182

  1. JT
    Julien Tierny

    Centre National de la Recherche Scientifique, France

    2 publications · 243 citations

    2

    h-index

  2. JM
    Joerg Meyer

    University of California, Irvine, United States

    2 publications · 21 citations

    2

    h-index

  3. HS
    Hao Song

    University of Bristol, United Kingdom

    2 publications · 157 citations

    2

    h-index

  4. HF
    Hsi-Yung Feng

    Western University, Canada

    2 publications · 157 citations

    2

    h-index

  5. XZ
    Xiaofang Zhou

    The University of Queensland, Australia

    2 publications · 31 citations

    2

    h-index

1–5 of 182

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 389 citations

    6

    h-index

  2. 4

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 134 citations

    2

    h-index

  4. Multimedia Tools and Applications

    2 publications · 65 citations

    2

    h-index

  5. PLoS ONE

    1 publications · 111 citations

    1

    h-index

1–5