Spatially Balanced Sampling

Spatially Balanced Sampling is a systematic sampling method that ensures selected sample units are evenly distributed across the spatial domain by minimizing clustering and maximizing spatial regularity, thereby providing representative coverage of spatial variation.

24

Publications

2.6K

Citations

54

Authors

42

Institutions

Publications per year

2017–2026

14

Authors

54

  1. YT
    Yves Tillé

    University of Neuchâtel, Switzerland

    4 publications · 260 citations

    4

    h-index

  2. BL
    B. L. Robertson

    University of Canterbury, New Zealand

    3 publications · 240 citations

    3

    h-index

  3. LF
    Lorenzo Fattorini

    University of Siena, Italy

    3 publications · 50 citations

    3

    h-index

  4. TL
    Trent L. McDonald

    Western EcoSystems Technology (United States), United States

    3 publications · 240 citations

    3

    h-index

  5. AG
    Anton Grafström

    Swedish University of Agricultural Sciences, Sweden

    3 publications · 365 citations

    3

    h-index

1–5 of 54

Venues

  1. Methods in Ecology and Evolution

    3 publications · 75 citations

    3

    h-index

  2. Biometrics

    2 publications · 344 citations

    2

    h-index

  3. Journal of the American Statistical Association

    2 publications · 1.3K citations

    2

    h-index

  4. Environmental and Ecological Statistics

    2 publications · 71 citations

    2

    h-index

  5. Environmetrics

    2 publications · 134 citations

    2

    h-index

1–5