Directed Sampling

Directed Sampling is a purposive sampling strategy in spatial variability analysis that selects sample locations based on prior knowledge or specific criteria to target areas of expected high variation or interest, distinguishing it from random or systematic sampling approaches by its intentional, hypothesis-driven site selection.

15

Publications

744

Citations

52

Authors

28

Institutions

Publications per year

2017–2026

9

Variants

Purposive Sampling

Authors

52

  1. SB
    Swapna Buccapatnam

    Princeton University, United States

    2 publications · 38 citations

    2

    h-index

  2. FL
    Fang Liu

    University of Notre Dame, United States

    2 publications · 38 citations

    2

    h-index

  3. NB
    Ness B. Shroff

    The Ohio State University, United States

    2 publications · 38 citations

    2

    h-index

  4. LP
    Lars Petersson

    Data61, Australia

    2 publications · 142 citations

    2

    h-index

  5. JK
    Johannes Kirschner

    ETH Zurich, Switzerland

    2 publications · 95 citations

    2

    h-index

1–5 of 52

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 105 citations

    3

    h-index

  2. Journal of Structural Biology

    1 publications · 14 citations

    1

    h-index

  3. Electronic Journal of Statistics

    1 publications · 32 citations

    1

    h-index

  4. Repository for Publications and Research Data (ETH Zurich)

    Repository · 1 publications · 22 citations

    1

    h-index

  5. PLoS ONE

    1 publications · 128 citations

    1

    h-index

1–5