Flexible Spatial Scan Statistics

Flexible Spatial Scan Statistics is a spatial cluster detection method that generalizes the spatial scan statistic framework by allowing irregularly shaped clusters through flexible window configurations, thereby overcoming the geometric limitations of circular or elliptical scanning windows.

23

Publications

1.6K

Citations

71

Authors

47

Institutions

Publications per year

2017–2026

6

Authors

71

  1. TT
    Toshiro Tango

    National Institute of Public Health, Japan

    6 publications · 1K citations

    6

    h-index

  2. KT
    Kunihiko Takahashi

    Nagoya University, Japan

    6 publications · 1K citations

    6

    h-index

  3. CD
    Christophe Dematteï

    Université de Montpellier, France

    2 publications · 34 citations

    2

    h-index

  4. LC
    Lionel Cucala

    Institut Montpelliérain Alexander Grothendieck, France

    2 publications · 32 citations

    2

    h-index

  5. EW
    Evah W. Odoi

    University of Tennessee at Knoxville, United States

    2 publications · 41 citations

    2

    h-index

1–5 of 71

Venues

  1. International Journal of Health Geographics

    3 publications · 810 citations

    3

    h-index

  2. Neuroepidemiology

    2 publications · 28 citations

    2

    h-index

  3. BMC Public Health

    2 publications · 41 citations

    2

    h-index

  4. Statistics in Medicine

    2 publications · 176 citations

    2

    h-index

  5. Applied Surface Science

    1 publications · 17 citations

    1

    h-index

1–5