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Second‐Order Neighborhood Analysis of Mapped Point Patterns
Author(s) -
Getis Arthur,
Franklin Janet
Publication year - 1987
Publication title -
ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.144
H-Index - 294
eISSN - 1939-9170
pISSN - 0012-9658
DOI - 10.2307/1938452
Subject(s) - point process , cluster analysis , perspective (graphical) , poisson distribution , point pattern analysis , point (geometry) , scale (ratio) , order (exchange) , geography , ecology , spatial ecology , sample (material) , computer science , mathematics , statistics , cartography , artificial intelligence , biology , chemistry , chromatography , geometry , finance , economics
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.
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