Grid-based Sampling

Grid-Based Sampling is a spatial sampling method that partitions the study area into a regular lattice of contiguous cells, from which sample locations are systematically selected to ensure uniform coverage.

139

Publications

6.6K

Citations

421

Authors

210

Institutions

Publications per year

2017–2026

24

Authors

421

  1. JD
    John D. Owens

    University of California, Davis, United States

    3 publications · 252 citations

    3

    h-index

  2. MS
    Mohamed S. Ebeida

    Sandia National Laboratories, United States

    3 publications · 252 citations

    3

    h-index

  3. AP
    Anjul Patney

    University of California, Davis, United States

    3 publications · 252 citations

    3

    h-index

  4. SA
    Scott A. Mitchell

    Sandia National Laboratories, United States

    3 publications · 252 citations

    3

    h-index

  5. AD
    Andrew Davidson

    University of California, Davis, United States

    3 publications · 252 citations

    3

    h-index

1–5 of 421

Venues

  1. Agronomy Journal

    4 publications · 173 citations

    4

    h-index

  2. ACM Transactions on Graphics

    TOG · 3 publications · 262 citations

    3

    h-index

  3. Soil Science Society of America Journal

    SSSAJ · 3 publications · 188 citations

    3

    h-index

  4. IEEE Transactions on Signal Processing

    2 publications · 62 citations

    2

    h-index

  5. Antarctica A Keystone in a Changing World

    2 publications · 33 citations

    2

    h-index

1–5