Geospatial Data Filtering

Geospatial Data Filtering is a methodological process that selectively refines spatial datasets by applying attribute-based, spatial, or temporal constraints to extract relevant geographical information for visualization and analysis within geospatial dashboard systems.

16

Publications

1.1K

Citations

52

Authors

34

Institutions

Publications per year

2017–2026

2

Authors

52

  1. CC
    C.Y. Chork

    UNSW Sydney, Australia

    1 publications · 15 citations

    1

    h-index

  2. KM
    Kara M. Kockelman

    The University of Texas at Austin, United States

    1 publications · 28 citations

    1

    h-index

  3. JP
    José Paulo Molin

    Universidade de São Paulo, Brazil

    1 publications · 12 citations

    1

    h-index

  4. RM
    R.H. Mazzucchelli

    Kalgoorlie Consolidated Gold Mines (Australia), Australia

    1 publications · 15 citations

    1

    h-index

  5. OH
    Orland Hoeber

    University of Regina, Canada

    1 publications · 18 citations

    1

    h-index

1–5 of 52

Venues

  1. Geotextiles and Geomembranes

    2 publications · 119 citations

    2

    h-index

  2. Computers & Geosciences

    CAGEO · 2 publications · 37 citations

    2

    h-index

  3. Journal of Transport Geography

    1 publications · 28 citations

    1

    h-index

  4. Computer Graphics Forum

    1 publications · 73 citations

    1

    h-index

  5. Health & Place

    1 publications · 18 citations

    1

    h-index

1–5