Sampling Design Optimization

Sampling Design Optimization is a methodological framework within spatial sampling that systematically enhances the efficiency, representativeness, and accuracy of sample configurations by strategically determining optimal spatial placement and density of sampling units under specific constraints.

122

Publications

6.3K

Citations

288

Authors

176

Institutions

Publications per year

2017–2026

22

Variants

Optimal Sampling Design

Authors

288

  1. MA
    Muhammad Aslam

    King Abdulaziz University, Saudi Arabia

    6 publications · 117 citations

    6

    h-index

  2. SB
    S. Balamurali

    Kalasalingam Academy of Research and Education, India

    5 publications · 99 citations

    5

    h-index

  3. CJ
    Chi‐Hyuck Jun

    Pohang University of Science and Technology, South Korea

    4 publications · 74 citations

    4

    h-index

  4. GH
    G.B.M. Heuvelink

    Wageningen University & Research, Netherlands

    4 publications · 353 citations

    4

    h-index

  5. RM
    Richard M. Engeman

    National Wildlife Research Center

    3 publications · 74 citations

    3

    h-index

1–5 of 288

Venues

  1. Canadian Journal of Forest Research

    6 publications · 197 citations

    6

    h-index

  2. Environmetrics

    5 publications · 163 citations

    5

    h-index

  3. 4

    h-index

  4. Water Resources Research

    4 publications · 332 citations

    4

    h-index

  5. 3

    h-index

1–5