Spatial Data Partitioning

Spatial Data Partitioning is the process of dividing a geospatial database into non-overlapping, spatially localized subsets based on geographical extent or spatial proximity, enabling efficient distributed storage, query processing, and parallel computation across multiple networked nodes.

116

Publications

6.2K

Citations

355

Authors

155

Institutions

Publications per year

2017–2026

34

Authors

355

  1. AE
    Ahmed Eldawy

    University of Minnesota, United States

    7 publications · 262 citations

    7

    h-index

  2. FW
    Fusheng Wang

    Stony Brook University, United States

    4 publications · 654 citations

    4

    h-index

  3. JY
    Jia Yu

    Arizona State University, United States

    3 publications · 539 citations

    3

    h-index

  4. HS
    Hanan Samet

    University of Maryland, College Park, United States

    3 publications · 314 citations

    3

    h-index

  5. SM
    Sara Migliorini

    University of Verona, Italy

    3 publications · 62 citations

    3

    h-index

1–5 of 355

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 6 publications · 823 citations

    6

    h-index

  2. ISPRS International Journal of Geo-Information

    IJGI · 5 publications · 118 citations

    5

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 80 citations

    3

    h-index

  4. ACM Transactions on Database Systems

    TODS · 3 publications · 308 citations

    3

    h-index

  5. ACM SIGMOD Record

    3 publications · 422 citations

    3

    h-index

1–5