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On Second Order Neighbourhood Analysis of Mapped Point Patterns
Author(s) -
Doguwa Sani I.
Publication year - 1989
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710310409
Subject(s) - point process , neighbourhood (mathematics) , poisson distribution , cluster analysis , point pattern analysis , statistics , point (geometry) , computer science , mathematics , common spatial pattern , geometry , mathematical analysis
Getis and Franklin (1987), introduced a technique based on second order methods, called second order neighbourhood method, which is used to quantify clustering at various spatial scales. Variants of this method are introduced for testing whether a spatial point pattern is consistent with the hypothesis of a Poisson process. These variants are applied to point location data for a sample of Ponderosa pine ( Pinus ponderosa ) trees.