Various methods for directional analysis of spatial point patterns have been introduced in the literature. In this paper, we formulate a unifying framework for methods based on integral transforms of the second order product density. Examples include directional versions of Ripley\u27s K-function, wavelet transforms, and spectral analysis. Furthermore, we propose an additional method based on the projection of the Fry points of the point pattern on the unit sphere. This method solves some of the practical problems appearing in the application of the integral transform. In particular, it can be easily applied in 3D and provides a definition of an isotropy test without the need of replicated data. The method is evaluated in a simulation study
A spatial point process can be considered a random measure and therefore represented as a countable ...
Analyses of spatial point patterns tend to focus on deviations from randomness by either clustering ...
This work addresses the question of building useful and valid models of anisotropic variograms for s...
A spatial point pattern is called anisotropic if its spatial structure depends on direction. Several...
The assumption of direction invariance, i.e., isotropy, is often made in the practical analysis of s...
The main theme of this thesis is the theory of stationary point processes, in particular the directi...
A two-dimensional stochastic point process can be regarded as a random measure and thus represented ...
Second-order spatio-temporal orientation methods provide a natural tool for the analysis of anisotro...
The assumption of direction invariance, i.e. isotropy, is often made in the practical analysis of sp...
A two-dimensional point process, if considered as a random measure, can be expressed as a countable ...
Isotropy of a point process, defined as invariance of the distribution under rotation, is often assu...
Anisotropy in stationary spatial point patterns is investigated. We develop a two-stage non-parametr...
In this thesis we consider the directional analysis of stationary point processes. We focus on three...
Isotropy of a point process, defined as invariance of the distribution\ua0under rotation, is often a...
Second-order orientation methods provide a natural tool for the analysis of spatial point process da...
A spatial point process can be considered a random measure and therefore represented as a countable ...
Analyses of spatial point patterns tend to focus on deviations from randomness by either clustering ...
This work addresses the question of building useful and valid models of anisotropic variograms for s...
A spatial point pattern is called anisotropic if its spatial structure depends on direction. Several...
The assumption of direction invariance, i.e., isotropy, is often made in the practical analysis of s...
The main theme of this thesis is the theory of stationary point processes, in particular the directi...
A two-dimensional stochastic point process can be regarded as a random measure and thus represented ...
Second-order spatio-temporal orientation methods provide a natural tool for the analysis of anisotro...
The assumption of direction invariance, i.e. isotropy, is often made in the practical analysis of sp...
A two-dimensional point process, if considered as a random measure, can be expressed as a countable ...
Isotropy of a point process, defined as invariance of the distribution under rotation, is often assu...
Anisotropy in stationary spatial point patterns is investigated. We develop a two-stage non-parametr...
In this thesis we consider the directional analysis of stationary point processes. We focus on three...
Isotropy of a point process, defined as invariance of the distribution\ua0under rotation, is often a...
Second-order orientation methods provide a natural tool for the analysis of spatial point process da...
A spatial point process can be considered a random measure and therefore represented as a countable ...
Analyses of spatial point patterns tend to focus on deviations from randomness by either clustering ...
This work addresses the question of building useful and valid models of anisotropic variograms for s...