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A review on anisotropy analysis of spatial point patterns

 
: Rajala, T.; Redenbach, C.; Särkkä, A.; Sormani, Martina

:

Spatial statistics 28 (2018), S.141-168
ISSN: 2211-6753
Englisch
Zeitschriftenaufsatz
Fraunhofer ITWM ()

Abstract
A spatial point pattern is called anisotropic if its spatial structure depends on direction. Several methods for anisotropy analysis have been introduced in the literature. In this paper, we give an overview of nonparametric methods for anisotropy analysis of (stationary) point patterns in and. We discuss methods based on nearest neighbour and second order summary statistics as well as spectral and wavelet analysis. All techniques are illustrated on both a clustered and a regular example. Finally, we discuss methods for testing for isotropy as well as for estimating preferred directions in a point pattern.

: http://publica.fraunhofer.de/dokumente/N-531350.html