Ripley's K Function

By Philip M. Dixon. 2006

495 citations recorded by the source corpus.

Subfields: Environmental Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/fc85395c3e36b81b866c54b9735896c69e449a44

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In Environmental Engineering

In Nature and Landscape Conservation

Citations in the corpus

Human settlement and baobab distribution in south‐western Mali (2007, methodology): “Bivariate analyses were conducted for each pair of baobab and settlement point sets in these rectangles; empirical LBS(h) values were compared with an envelope derived from 99 random toroidal shifts of data points (cf. Bailey & Gatrell, 1995; Dixon, 2002; Diggle, 2003).”
A framework for species distribution modelling with improved pseudo-absence generation (2015, methodology): “…number of presence points, we focused on species with a widespread237 distribution in Europe as target group candidates.238 For each candidate and Oak group, we computed the cross type of the239 Ripley’s K function (Dixon, 2006) to analyse the spatial behaviour of the240 point pattern.”
A comparison of methods for the statistical analysis of spatial point patterns in plant ecology (2006, background): “…nearest neighbour Distance to 1 to n closest events and deviations from expectation under CSR Davis et al. (2000); Thompson (1956) All events to all events Distance from each event to every other event, binned into distance classes and analysed as absolute frequencies Galiano (1982); Dale (1999)”
Predicting the spatial pattern of trees by airborne laser scanning (2013, methodology): “Thus, deviations from the expected value at each distance can be used for testing CSR.”
Where do seedlings go? A spatio-temporal analysis of seedling mortality in a semi-arid gypsophyte (2008, methodology): “K, pair correlation or nearest-neighbor distribution; Dixon 2002) would be an appropriate summary statistic; the Monte Carlo simulation consists in randomly permuting the labels of the ‘‘labeled’’ population while keeping the locations of the ‘‘independent’’ population fixed (for example, permuting…”
A class of spatial econometric methods in the empirical analysis of clusters of firms in the space (2008, methodology): “independence and a null of random labelling (Diggle 1983; Dixon 2002 ).”
Geographically Weighted Colocation Quotients: Specification and Application (2014, methodology): “Parametric tests for CLQ inference are as problematic as they are for crossK functions (Dixon 2002).”
Rings, circles, and null-models for point pattern analysis in ecology (2004, methodology): “First, inspection of the estimated K̂(r) may suggest plausible models for the underlying point process, and the parameters that control the process can be fitted through comparison of the expected and estimated K-function (e.g. Diggle 1983, Batista and Maguire 1998, Dixon 2002).”
Spatial pattern of adult trees and the mammal-generated seed rain in the Iberian pear (2010, background): “A test for independence requires conservation of the spatial structure of the individual univariate patterns, but to break their dependence (Dixon 2002).”