Second-Order Neighborhood Analysis of Mapped Point Patterns

Arthur Getis () and Janet Franklin ()
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Arthur Getis: San Diego State University
Janet Franklin: Arizona State University

Chapter Chapter 7 in Perspectives on Spatial Data Analysis, 2010, pp 93-100 from Springer

Abstract: 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.

Keywords: Second-order Neighborhood Analysis; Mapped Point Patterns; Correct Border; Klamath National Forest; Optimum Quadrat Size (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-3-642-01976-0_7

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