Raster Data Representation

Raster Data Representation is a spatial data representation method that models geographic phenomena as a regular grid of cells, each storing a value representing an attribute measured at a specific location, distinguished by its discrete, pixelated structure as opposed to continuous or vector-based forms.

147

Publications

6.1K

Citations

416

Authors

212

Institutions

Publications per year

2017–2026

52

Authors

416

  1. AE
    Ahmed Eldawy

    University of Minnesota, United States

    4 publications · 69 citations

    4

    h-index

  2. SS
    Samriddhi Singla

    University of California, Riverside, United States

    3 publications · 49 citations

    3

    h-index

  3. JR
    José R. Paramá

    Universidade da Coruña, Spain

    3 publications · 70 citations

    3

    h-index

  4. FH
    Fred Holroyd

    The Open University, United Kingdom

    2 publications · 81 citations

    2

    h-index

  5. DG
    David G. Tarboton

    Utah State University, United States

    2 publications · 140 citations

    2

    h-index

1–5 of 416

Venues

  1. 11

    h-index

  2. Transactions in GIS

    5 publications · 145 citations

    5

    h-index

  3. ISPRS International Journal of Geo-Information

    IJGI · 4 publications · 117 citations

    4

    h-index

  4. 4

    h-index

  5. 3

    h-index

1–5