Getis-ord Statistics

Getis-Ord Statistics is a spatial statistical method that measures the degree of spatial clustering of high or low values in a geographic dataset by comparing the observed sum of values in a local neighborhood to the expected sum under spatial randomness.

92

Publications

4K

Citations

421

Authors

221

Institutions

Publications per year

2017–2026

56

Authors

421

  1. AC
    Archie C. A. Clements

    Australian National University, Australia

    5 publications · 284 citations

    5

    h-index

  2. KV
    Kerri Viney

    Australian National University, Australia

    4 publications · 213 citations

    4

    h-index

  3. KA
    Kefyalew Addis Alene

    University of Gondar, Ethiopia

    4 publications · 213 citations

    4

    h-index

  4. SH
    Samuel Hailegebreal

    Arba Minch University, Ethiopia

    4 publications · 82 citations

    4

    h-index

  5. GG
    Girma Gilano

    Arba Minch University, Ethiopia

    3 publications · 62 citations

    3

    h-index

1–5 of 421

Venues

  1. PLoS ONE

    8 publications · 382 citations

    8

    h-index

  2. Geospatial health

    3 publications · 126 citations

    3

    h-index

  3. BMC Infectious Diseases

    3 publications · 81 citations

    3

    h-index

  4. Archives of Public Health

    APH · 3 publications · 58 citations

    3

    h-index

  5. PubMed

    Repository · 3 publications · 47 citations

    3

    h-index

1–5