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• W1785182014 abstract "We investigate the properties of a weighted analogue of Ripley’s Kfunction which was first introduced by Baddeley, Møller, and Waagepetersen. This statistic, called the weighted or inhomogeneous K-function, is useful for assessing the fit of point process models. The advantage of this measure of goodness-of-fit is that it can be used in situations where the null hypothesis is not a stationary Poisson model. We note a correspondence between the weighted K-function and thinned residuals, and derive the asymptotic distribution of the weighted K-function for a spatial inhomogeneous Poisson process. We then present an application of the use of the weighted K-function to assess the goodness-of-fit of a class of point process models for the spatial distribution of earthquakes in Southern California." @default.
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• W1785182014 date "2006-03-02" @default.
• W1785182014 modified "2023-10-16" @default.
• W1785182014 title "Assessing Spatial Point Process Models Using Weighted K-functions: Analysis of California Earthquakes" @default.
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• W1785182014 doi "https://doi.org/10.1007/0-387-31144-0_16" @default.
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