Inhibitive Sampling

Inhibitive Sampling is a spatial sampling method that restricts the selection of sample locations to avoid proximity among selected points, thereby ensuring greater spatial dispersion compared to random or clustered sampling designs.

1

Publications

19

Citations

4

Authors

2

Institutions

Publications per year

2017–2026

0

Authors

4

  1. AR
    Alexander Rand

    The University of Texas at Austin, United States

    1 publications · 19 citations

    1

    h-index

  2. SA
    Scott A. Mitchell

    Sandia National Laboratories, United States

    1 publications · 19 citations

    1

    h-index

  3. MS
    Mohamed S. Ebeida

    Sandia National Laboratories, United States

    1 publications · 19 citations

    1

    h-index

  4. CB
    Chandrajit Bajaj

    The University of Texas at Austin, United States

    1 publications · 19 citations

    1

    h-index

1–4 of 4

Institutions

2

  1. Sandia National Laboratories

    Albuquerque, United States

    1 h-index

    2 publications

    38 citations

  2. The University of Texas at Austin

    Austin, United States

    1 h-index

    2 publications

    38 citations

1–2 of 2