Generalizing Ripley's K function to inhomogeneous populations

Abstract : In spatial statistics, Ripley's K function (Ripley, 1977) is a classical tool to analyse spatial point patterns. Yet, it faces two major limits: it is only pertinent for homogeneous point processes and it does not allow the weighting of points.
We generalize it to get a new function, M, which oversteps these limits and detects spatial structures of inhomogeneous populations of weighted points.
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Contributor : Florence Puech <>
Submitted on : Wednesday, April 1, 2009 - 5:31:52 PM
Last modification on : Tuesday, November 19, 2019 - 12:48:13 PM
Long-term archiving on : Thursday, June 10, 2010 - 7:32:50 PM

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Eric Marcon, Florence Puech. Generalizing Ripley's K function to inhomogeneous populations. 2009. ⟨halshs-00372631⟩

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