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Table 2 Examples of the minimum number of individuals (trees) and software used in spatial point-pattern analyses. Most studies used a very low number of trees in SPPA which does not correspond to the recommendations provided by the main textbooks related to SPPA

From: Spatial point-pattern analysis as a powerful tool in identifying pattern-process relationships in plant ecology: an updated review

Summary statistics

Number of

individuals

Software

References

K(r) and Moran’s correlograms

L(r) and L12(r)

g(r) and g12(r)

> 15

Spatial Analysis (Duncan 1995)

SPPA (Haase 2001)

Programita (Wiegand and Moloney 2004)

Camarero et al. 2000

Lingua et al. 2008

Carrer et al. 2013

L(r) and L12(r)

≥ 26

ADE-4 (Thioulouse et al. 1997)

Camarero et al. 2005

kmm(r)

≥ 100

R (R Development Core Team)

Getzin et al. 2008a

L(r)

≥ 60

SPPA (Haase 2004)

Szmyt 2010

g12(r)

g(r)

≥ 25

Programita (Wiegand and Moloney 2004)

R (R Development Core Team)

Petritan et al. 2015

Du et al. 2017

g(r) and g12(r)

≥ 10

R (R Development Core Team)

Janík et al. 2016

O12(r)

≥ 4

Programita (Wiegand and Moloney 2004)

Cordero et al. 2016

L12(r)

L(r) and L12(r)

g(r), kmm(r) and γ(r)

g(r) and g12(r)

≥ 20

SPPA (Haase 2002)

Not specified

R (R Development Core Team)

Programita (Wiegand and Moloney 2004)

Fajardo et al. 2006

Zenner and Peck 2009

Fibich et al. 2016

Ziegler et al. 2017

L12(r) and g12(r)

> 30

Programita (Wiegand and Moloney 2004)

Muvengwi et al. 2018

g(r), g12(r) and g21(r)

g(r) and g12(r)

≥ 30

Programita (Wiegand and Moloney 2014)

R (R Development Core Team)

Nguyen et al. 2016

Li et al. 2020a

g(r)

g(r), kmm(r) and γ(r)

≥ 40

Programita (Wiegand and Moloney 2004, 2014) and R (R Development Core Team)

R (R Development Core Team)

Yao et al. 2016; Das Gupta and Pinno 2018

Li et al. 2020b

g(r)

≥ 68

R (R Development Core Team)

Carrer et al. 2018

g12(r), km. (r)

≥ 50

Programita (Wiegand and Moloney 2014)

Ribeiro et al. 2021

  1. K(r) univariate Ripley’s K-function, L(r) univariate Ripley’s L-function, g(r) univariate pair correlation function, kmm(r) mark-correlation function, L12(r) bivariate Ripley’s L-function, g12(r) bivariate pair correlation function, O12(r) bivariate O-ring statistic, γ(r) mark variogram, km. (r) bivariate r-mark correlation function