A Review Of Spatial Statistics Selection Software
Price
Free (open access)
Volume
12
Pages
8
Published
1995
Size
617 kb
Paper DOI
10.2495/SEHE950291
Copyright
WIT Press
Author(s)
J. Mateu & J.L. Uso
Abstract
A spatial point pattern is a set of data consisting of n locations in an essentially planar region A. Examples include the locations of cell nuclei in a microscopic tissue section, trees in a forest or cases of disease in a geographical region. A fundamental assumption in the analysis of such data is that they can usefully be regarded as a partial realisation of a stochastic point process. Two stages in the analysis of a spatial point pattern are to calculate one or more empirical functions to summarise the data, for example, empirical distributions of inter- point distances or nearest neighbour distances and to assess these summary descriptions relative to an appropriate benchmark hypothesis, the simplest example of which is that the data form a partial realisation of a planar Poisson process. The
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