Core Area Detection Probability

Core Area Detection Probability is a probabilistic metric that quantifies the likelihood of accurately identifying a core area within a given spatial or functional domain, distinguished by its reliance on detection thresholds, spatial autocorrelation patterns, and observational sensitivity specific to the underlying data and methodological framework.

6

Publications

144

Citations

23

Authors

10

Institutions

Publications per year

2017–2026

1

Authors

23

  1. FW
    Floyd W. Weckerly

    Texas State University, United States

    1 publications · 11 citations

    1

    h-index

  2. CS
    Colin Southwell

    Australian Antarctic Division, Australia

    1 publications · 21 citations

    1

    h-index

  3. YL
    Yiping Liu

    Sichuan Agricultural University, China

    1 publications · 17 citations

    1

    h-index

  4. SO
    Saka Oladunni Jimoh

    University of Ibadan, Nigeria

    1 publications · 16 citations

    1

    h-index

  5. JA
    James A. Baldwin

    Pacific Southwest Research Station, United States

    1 publications · 36 citations

    1

    h-index

1–5 of 23

Venues

  1. Journal of Animal Ecology

    1 publications · 43 citations

    1

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. African Journal of Ecology

    1 publications · 16 citations

    1

    h-index

  5. Journal of Fish and Wildlife Management

    JFWM · 1 publications · 36 citations

    1

    h-index

1–5