Kernel Hot Spot Mapping

Kernel Hot Spot Mapping is a spatial analysis technique that identifies statistically significant clusters of high or low values in geographic data by applying kernel density estimation to generate a continuous surface of intensity variation.

4

Publications

716

Citations

12

Authors

5

Institutions

Publications per year

2017–2026

1

Authors

12

  1. KS
    Kōkichi Sugihara

    The University of Tokyo, Japan

    1 publications · 454 citations

    1

    h-index

  2. AO
    Atsuyuki Okabe

    The University of Tokyo, Japan

    1 publications · 454 citations

    1

    h-index

  3. BP
    Brankica Popović

    Ministry of Interior of the Republic of Serbia, Serbia

    1 publications · 17 citations

    1

    h-index

  4. JF
    José F. de Queiroz Neto

    Universidade Federal do Ceará, Brazil

    1 publications · 25 citations

    1

    h-index

  5. NM
    Nenad Milić

    Ministry of Interior of the Republic of Serbia, Serbia

    1 publications · 17 citations

    1

    h-index

1–5 of 12

Venues

  1. 1

    h-index

  2. 1

    h-index

  3. Ecography

    1 publications · 220 citations

    1

    h-index

  4. Food Bioscience

    1 publications · 10 citations

1–5