A triplet of functions for the characterisation of planar point patterns is introduced, which are related to the integral-geometric quantities area, boundary length and Euler number of pat-terns of discs with centres at the given points. It can be expected that these functions are able to yield information which the traditional statistical characteristics of point process theory do not yield. The lecture describes their statistical estimation. An example illustrates their application in the analysis of three point patterns of tree positions in quite different forests and shows their behaviour in comparison to that of the pair correlation function
The paper presents introduction to spatial point processes and their characteristics. The reader is ...
We propose a new summary statistic for marked point patterns. The underlying principle is to compare...
! We take the analysis of spatial point patterns beyond pairs.! We do so by focusing on the triplets...
A triplet of function s for the statistical characterization of planar point patterns is introduced....
Second order characteristics, in particular Ripley's K-function, are widely used for the statis...
Three functions that analyze point patterns are the L (a transformation of Ripley’s K function), pai...
Summary: 1. This article reviews the application of some summary statistics from current theory o...
Analyses of spatial point patterns tend to focus on deviations from randomness by either clustering ...
The description and analysis of spatial point patterns have mainly been based on first- and second-o...
With the advent of improved data acquisition technologies more complex spatial datasets can be coll...
This chapter gives a brief introduction to spatial point processes, with a view to applications. The...
We develop statistical methods for analysing a pattern of points on a region of the sphere, includin...
We describe a range of methods for the description and analysis of spatial point patterns in plant e...
The analysis of point patterns often begins with a test of complete spatial randomness using summari...
The main theme of this thesis is the theory of stationary point processes, in particular the directi...
The paper presents introduction to spatial point processes and their characteristics. The reader is ...
We propose a new summary statistic for marked point patterns. The underlying principle is to compare...
! We take the analysis of spatial point patterns beyond pairs.! We do so by focusing on the triplets...
A triplet of function s for the statistical characterization of planar point patterns is introduced....
Second order characteristics, in particular Ripley's K-function, are widely used for the statis...
Three functions that analyze point patterns are the L (a transformation of Ripley’s K function), pai...
Summary: 1. This article reviews the application of some summary statistics from current theory o...
Analyses of spatial point patterns tend to focus on deviations from randomness by either clustering ...
The description and analysis of spatial point patterns have mainly been based on first- and second-o...
With the advent of improved data acquisition technologies more complex spatial datasets can be coll...
This chapter gives a brief introduction to spatial point processes, with a view to applications. The...
We develop statistical methods for analysing a pattern of points on a region of the sphere, includin...
We describe a range of methods for the description and analysis of spatial point patterns in plant e...
The analysis of point patterns often begins with a test of complete spatial randomness using summari...
The main theme of this thesis is the theory of stationary point processes, in particular the directi...
The paper presents introduction to spatial point processes and their characteristics. The reader is ...
We propose a new summary statistic for marked point patterns. The underlying principle is to compare...
! We take the analysis of spatial point patterns beyond pairs.! We do so by focusing on the triplets...