Geospatial Data Encoding

Geospatial Data Encoding is a formal method that systematically represents geographic positions and associated attributes in a structured digital format to enable machine interpretation, storage, and visualization within geospatial dashboard systems.

11

Publications

747

Citations

21

Authors

10

Institutions

Publications per year

2017–2026

3

Authors

21

  1. RB
    Robert B. Cook

    Oak Ridge National Laboratory, United States

    1 publications · 30 citations

    1

    h-index

  2. MH
    Mahdee Hasan

    University of Calgary, Canada

    1 publications · 16 citations

    1

    h-index

  3. SM
    Shrikant Mulik

    Indian Institute of Technology Bombay, India

    1 publications · 149 citations

    1

    h-index

  4. YD
    Ying-jun Du

    Beijing Technology and Business University, China

    1 publications · 21 citations

    1

    h-index

  5. FW
    Feng Wang

    University of Mississippi, United States

    1 publications · 22 citations

    1

    h-index

1–5 of 21

Venues

  1. International Journal of Digital Earth

    1 publications · 16 citations

    1

    h-index

  2. IETE Technical Review

    1 publications · 149 citations

    1

    h-index

  3. Computers & Geosciences

    CAGEO · 1 publications · 15 citations

    1

    h-index

  4. Choice Reviews Online

    CRO · 1 publications · 362 citations

    1

    h-index

  5. Journal of Geography

    1 publications · 50 citations

    1

    h-index

1–5