Grid-based Spatial Representation

Grid-Based Spatial Representation is a spatial data representation method that partitions geographic space into a regular array of cells or pixels, where each cell holds a value corresponding to a specific attribute or phenomenon, distinguishing it from vector-based or object-based representations by its reliance on a uniform grid structure for encoding spatial variation.

163

Publications

10.3K

Citations

513

Authors

277

Institutions

Publications per year

2017–2026

58

Variants

Raster Representation

Authors

513

  1. KS
    K. S. Pennington

    IBM Research - Thomas J. Watson Research Center, United States

    3 publications · 222 citations

    3

    h-index

  2. IF
    Ila Fiete

    The University of Texas at Austin, United States

    3 publications · 333 citations

    3

    h-index

  3. BS
    Bettina Speckmann

    Eindhoven University of Technology, Netherlands

    3 publications · 77 citations

    3

    h-index

  4. PW
    Peter Will

    University of Southern California, United States

    3 publications · 222 citations

    3

    h-index

  5. LD
    LI Deren

    Wuhan University, China

    3 publications · 34 citations

    3

    h-index

1–5 of 513

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 164 citations

    7

    h-index

  2. ISPRS International Journal of Geo-Information

    IJGI · 3 publications · 84 citations

    3

    h-index

  3. Journal of Microscopy

    3 publications · 111 citations

    3

    h-index

  4. Remote Sensing

    2 publications · 30 citations

    2

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 176 citations

    2

    h-index

1–5