Geospatial Data Structures

Geospatial Data Structures is a systematic framework for organizing spatial and attribute data, distinguished by its explicit representation of geographic location, topology, and spatial relationships to enable efficient storage, retrieval, and analysis of georeferenced information.

124

Publications

9.5K

Citations

286

Authors

139

Institutions

Publications per year

2017–2026

17

Authors

286

  1. HS
    Hanan Samet

    University of Maryland, College Park, United States

    6 publications · 301 citations

    6

    h-index

  2. LA
    Luc Anselin

    Arizona State University, United States

    3 publications · 331 citations

    3

    h-index

  3. RC
    Randal C. Nelson

    University of Rochester, United States

    3 publications · 205 citations

    3

    h-index

  4. KS
    Kevin Sahr

    Southern Oregon University, United States

    3 publications · 694 citations

    3

    h-index

  5. MF
    Michael F. Goodchild

    University of California, Santa Barbara, United States

    3 publications · 202 citations

    3

    h-index

1–5 of 286

Venues

  1. 11

    h-index

  2. Transactions in GIS

    6 publications · 97 citations

    6

    h-index

  3. Computers & Geosciences

    CAGEO · 5 publications · 676 citations

    5

    h-index

  4. Computers Environment and Urban Systems

    4 publications · 155 citations

    4

    h-index

  5. Geo-spatial Information Science

    3 publications · 55 citations

    3

    h-index

1–5