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- W4239458093 abstract "Abstract Ripley’s K ( t ) function is a tool for analyzing completely mapped spatial point process data, i.e. data on the locations of events. These are usually recorded in two dimensions, but they may be locations along a line or in space. This article will only describe K ( t ) for two‐dimensional spatial data. Completely mapped data include the locations of all events in a predefined study area. Ripley’s K ( t ) function can be used to summarize a point pattern, test hypotheses about the pattern, estimate parameters and fit models. Bivariate or multivariate generalizations can be used to describe relationships between two or more point patterns. Applications include spatial patterns of trees, herbaceous plants, bird nests and disease cases." @default.
- W4239458093 created "2022-05-12" @default.
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- W4239458093 date "2001-10-31" @default.
- W4239458093 modified "2023-10-16" @default.
- W4239458093 title "Ripley's <scp> <i>K</i> </scp> Function" @default.
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- W4239458093 doi "https://doi.org/10.1002/9780470057339.var046" @default.
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