Stratified Spatial Sampling

Stratified Spatial Sampling is a spatial sampling method that partitions a geographic domain into non-overlapping subdomains or strata and independently selects samples within each stratum to ensure improved spatial coverage and representativeness.

339

Publications

14.7K

Citations

1.3K

Authors

561

Institutions

Publications per year

2017–2026

121

Authors

1.3K

  1. SV
    Stephen V. Stehman

    SUNY College of Environmental Science and Forestry, United States

    8 publications · 699 citations

    8

    h-index

  2. LF
    Lorenzo Fattorini

    University of Siena, Italy

    6 publications · 134 citations

    6

    h-index

  3. JG
    Javier Gallego

    Joint Research Centre, Italy

    4 publications · 430 citations

    4

    h-index

  4. JW
    Jinfeng Wang

    Chinese Academy of Sciences, China

    4 publications · 271 citations

    4

    h-index

  5. PC
    Piermaria Corona

    Università degli Studi della Tuscia, Italy

    4 publications · 72 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. PLoS ONE

    10 publications · 517 citations

    10

    h-index

  2. International Journal of Remote Sensing

    8 publications · 545 citations

    8

    h-index

  3. PubMed

    Repository · 8 publications · 343 citations

    8

    h-index

  4. Remote Sensing

    7 publications · 360 citations

    7

    h-index

  5. Journal of Wildlife Management

    6 publications · 243 citations

    6

    h-index

1–5