Second-order neighborhood analysis of mapped point patterns

Arthur Getis, Janet Franklin

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

A technique based on second-order methods, called second-order neighborhood analysis, is used to quantify clustering at various spatial scales. The theoretical model represents the degree of clustering in a Poisson process from the perspective of each individual point. The method is applied to point location data for a sample of ponderosa pine (Pinus ponderosa) trees, and shows that heterogeneity within the forest is clearly a function of the scale of analysis.

Original languageEnglish (US)
Title of host publicationAdvances in Spatial Science
PublisherSpringer International Publishing
Pages93-100
Number of pages8
DOIs
StatePublished - Jan 1 2010

Publication series

NameAdvances in Spatial Science
Volume61
ISSN (Print)1430-9602
ISSN (Electronic)2197-9375

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Economics and Econometrics

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  • Cite this

    Getis, A., & Franklin, J. (2010). Second-order neighborhood analysis of mapped point patterns. In Advances in Spatial Science (pp. 93-100). (Advances in Spatial Science; Vol. 61). Springer International Publishing. https://doi.org/10.1007/978-3-642-01976-0_7