Cluster Spatial Sampling

Cluster Spatial Sampling is a spatial sampling method that partitions a geographic domain into clusters and selects entire clusters as sampling units, thereby distinguishing itself from other spatial sampling techniques by its aggregation-based selection criterion to enhance efficiency in spatially correlated populations.

267

Publications

11.7K

Citations

1.3K

Authors

484

Institutions

Publications per year

2017–2026

101

Authors

1.3K

  1. AY
    Abbasali Yekta

    Mashhad University of Medical Sciences, Iran

    7 publications · 232 citations

    7

    h-index

  2. MK
    Mehdi Khabazkhoob

    Noor Eye Hospital, Iran

    6 publications · 187 citations

    6

    h-index

  3. HH
    Hassan Hashemi

    Noor Eye Hospital, Iran

    6 publications · 187 citations

    6

    h-index

  4. HO
    Hadi Ostadimoghaddam

    Mashhad University of Medical Sciences, Iran

    4 publications · 168 citations

    4

    h-index

  5. SV
    Stephen V. Stehman

    SUNY College of Environmental Science and Forestry, United States

    4 publications · 107 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. PubMed

    Repository · 32 publications · 1.6K citations

    19

    h-index

  2. PLoS ONE

    15 publications · 1K citations

    15

    h-index

  3. BMC Public Health

    10 publications · 633 citations

    10

    h-index

  4. 3

    h-index

  5. Tropical Medicine & International Health

    3 publications · 41 citations

    3

    h-index

1–5