Geospatial Crime Pattern Analysis

Geospatial Crime Pattern Analysis is a systematic analytical method within criminal profiling that utilizes spatial data and geographic information systems (GIS) to identify, interpret, and predict crime patterns by examining the distribution and clustering of criminal incidents across specific geographic areas.

225

Publications

11.5K

Citations

545

Authors

261

Institutions

Publications per year

2017–2026

93

Authors

545

  1. MA
    Martin A. Andresen

    Simon Fraser University, Canada

    15 publications · 1.1K citations

    13

    h-index

  2. ML
    Michael Leitner

    Louisiana State University, United States

    9 publications · 323 citations

    9

    h-index

  3. VC
    Vânia Ceccato

    KTH Royal Institute of Technology, Sweden

    7 publications · 335 citations

    7

    h-index

  4. JH
    Jerry H. Ratcliffe

    Temple University, United States

    6 publications · 983 citations

    6

    h-index

  5. LL
    Lin Liu

    University of Cincinnati, United States

    5 publications · 158 citations

    5

    h-index

1–5 of 545

Venues

  1. ISPRS International Journal of Geo-Information

    IJGI · 16 publications · 489 citations

    15

    h-index

  2. 9

    h-index

  3. Journal of Quantitative Criminology

    7 publications · 718 citations

    7

    h-index

  4. Applied Geography

    7 publications · 363 citations

    7

    h-index

  5. Policing An International Journal

    PIJPSM · 5 publications · 306 citations

    5

    h-index

1–5