Point Pattern Inference

Point Pattern Inference is a statistical methodology within spatial analysis that enables the identification and interpretation of underlying spatial processes generating observed point patterns through formal modeling and hypothesis testing.

27

Publications

2.5K

Citations

56

Authors

30

Institutions

Publications per year

2017–2026

5

Variants

Spatial Point Pattern Inference

Authors

56

  1. GU
    Graham Upton

    University of Essex, United Kingdom

    5 publications · 597 citations

    5

    h-index

  2. AE
    Alan E. Gelfand

    Duke University, United States

    4 publications · 162 citations

    4

    h-index

  3. BF
    Bernard Fingleton

    University of Cambridge, United Kingdom

    3 publications · 451 citations

    3

    h-index

  4. AC
    Avishek Chakraborty

    University of Arkansas at Fayetteville, United States

    3 publications · 133 citations

    3

    h-index

  5. JA
    John A. Silander

    University of Connecticut, United States

    2 publications · 101 citations

    2

    h-index

1–5 of 56

Venues

  1. Technometrics

    2 publications · 374 citations

    2

    h-index

  2. Biometrics

    2 publications · 350 citations

    2

    h-index

  3. Scandinavian Journal of Statistics

    2 publications · 25 citations

    2

    h-index

  4. 2

    h-index

  5. Plant Ecology

    1 publications · 386 citations

    1

    h-index

1–5