Kernel Intensity Estimation

Kernel Intensity Estimation is a nonparametric method in point pattern analysis that estimates the intensity function of a spatial point process by smoothing observed event locations using a kernel function centered at each point, thereby distinguishing it from parametric intensity models through its data-driven, local averaging approach.

24

Publications

1.9K

Citations

57

Authors

35

Institutions

Publications per year

2017–2026

5

Authors

57

  1. JM
    Jorge Mateu

    Universitat Jaume I, Spain

    3 publications · 99 citations

    3

    h-index

  2. MN
    M. N. M. van Lieshout

    Centrum Wiskunde & Informatica, Netherlands

    2 publications · 124 citations

    2

    h-index

  3. MM
    Mehdi Moradi

    Universitat Jaume I, Spain

    2 publications · 74 citations

    2

    h-index

  4. KC
    Karina Conceição Gomes Machado de Araújo

    Universidade Federal de Sergipe, Brazil

    2 publications · 37 citations

    2

    h-index

  5. CD
    Cláudia Di Lorenzo Oliveira

    Federal University of São João del-Rei, Brazil

    2 publications · 101 citations

    2

    h-index

1–5 of 57

Venues

  1. Scandinavian Journal of Statistics

    2 publications · 44 citations

    2

    h-index

  2. 2

    h-index

  3. Journal of Computational and Graphical Statistics

    JCGS · 2 publications · 74 citations

    2

    h-index

  4. International Journal of Health Geographics

    1 publications · 21 citations

    1

    h-index

  5. Preventive Medicine Reports

    PMR · 1 publications · 70 citations

    1

    h-index

1–5