Article
Extending Ripley's K-Function to Quantify Aggregation in 2-D Grayscale Images.
PloS one - 1 Jan 2015
Amgad Mohamed, Itoh Anri, Tsui Marco Man Kin
Abstract excerpt
In this work, we describe the extension of Ripley's K-function to allow for overlapping events at very high event densities. We show that problematic edge effects introduce significant bias to the function at very high densities and small radii, and propose a simple correction method that successfully restores the function's centralization. Using simulations of homogeneous Poisson distributions of events, as well...
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