Point Process Covariates

Point Process Covariates is a formal construct in spatial statistics that denotes an auxiliary variable or set of variables defined over the spatial domain, which may influence the intensity or pattern of a point process and is incorporated into the modeling framework to explain or predict the spatial distribution of event locations.

12

Publications

548

Citations

45

Authors

39

Institutions

Publications per year

2017–2026

3

Authors

45

  1. AB
    Adrian Baddeley

    The University of Western Australia, Australia

    2 publications · 102 citations

    3

    h-index

  2. YC
    Ya‐Mei Chang

    Tamkang University, Taiwan

    2 publications · 102 citations

    2

    h-index

  3. YS
    Yong Song

    The University of Melbourne, Australia

    2 publications · 102 citations

    2

    h-index

  4. RT
    Rolf Turner

    University of Auckland, New Zealand

    2 publications · 102 citations

    2

    h-index

  5. SS
    Stuart Sweeney

    University of California, Santa Barbara, United States

    1 publications · 11 citations

    1

    h-index

1–5 of 45

Venues

  1. IEEE Transactions on Biomedical Engineering

    1 publications · 21 citations

    1

    h-index

  2. Biometrika

    1 publications · 44 citations

    1

    h-index

  3. Statistics and Its Interface

    SII · 1 publications · 88 citations

    1

    h-index

  4. American Journal of Epidemiology

    AJE · 1 publications · 30 citations

    1

    h-index

  5. Journal of Regional Science

    JRS · 1 publications · 11 citations

    1

    h-index

1–5