Bayesian Geographic Profiling

Bayesian Geographic Profiling is a probabilistic modeling approach within geographic profiling that applies Bayesian inference to integrate prior knowledge and observed data for estimating the most likely locations of offender anchor points.

10

Publications

541

Citations

27

Authors

9

Institutions

Publications per year

2017–2026

0

Authors

27

  1. NL
    Ned Levine

    University of Hawaiʻi at Mānoa, United States

    2 publications · 70 citations

    2

    h-index

  2. MO
    Mike O’Leary

    Towson University, United States

    2 publications · 54 citations

    2

    h-index

  3. PL
    Patsy Lee

    Greater Manchester Police, United Kingdom

    1 publications · 29 citations

    1

    h-index

  4. CB
    Craig Bennell

    Carleton University, Canada

    1 publications · 10 citations

    1

    h-index

  5. DK
    D. Kim Rossmo

    Texas State University, United States

    1 publications · 38 citations

    1

    h-index

1–5 of 27

Venues

  1. 4

    h-index

  2. Methods in Ecology and Evolution

    1 publications · 38 citations

    1

    h-index

  3. PLoS Genetics

    1 publications · 280 citations

    1

    h-index

  4. The Professional Geographer

    1 publications · 41 citations

    1

    h-index

  5. Lancaster EPrints (Lancaster University)

    Repository · 1 publications · 10 citations

    1

    h-index

1–5