Density Smoothing

Density Smoothing is a spatial smoothing technique that belongs to the class of density estimation methods, distinguished by its application of kernel-based averaging to reduce local variability in point pattern data while preserving underlying spatial intensity structures.

55

Publications

16K

Citations

114

Authors

68

Institutions

Publications per year

2017–2026

5

Authors

114

  1. AB
    Adrian Bowman

    University of Glasgow, United Kingdom

    3 publications · 1.1K citations

    3

    h-index

  2. MA
    Michael A. Martin

    Australian National University, Australia

    2 publications · 59 citations

    2

    h-index

  3. DM
    D. M. Titterington

    University of Glasgow, United Kingdom

    2 publications · 110 citations

    2

    h-index

  4. VT
    Vadim Timonin

    University of Lausanne, Switzerland

    2 publications · 35 citations

    2

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  5. PP
    Prakash Patil

    University of Birmingham, United Kingdom

    2 publications · 59 citations

    2

    h-index

1–5 of 114

Venues

  1. 7

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  2. Biometrika

    5 publications · 1.2K citations

    5

    h-index

  3. 3

    h-index

  4. The Annals of Statistics

    3 publications · 180 citations

    3

    h-index

  5. Journal of Statistical Planning and Inference

    2 publications · 43 citations

    2

    h-index

1–5