Moment characteristics are widely used for the statistical analysis of spatial point processes. Standard summary statistics used for the analysis of point processes are of first and second order (intensity, K -function, pair-correlation function...). Nonetheless, none of these characteristics describes the distribution of a point pattern completely. Higher order characteristics such as third-order characteristics can give more information about the spatial interactions. Two such characteristics have already been studied: the z -function (Moller et. al. 98) and the T -function (Schladitz, Baddeley 2000). Key words: T -function, z -function , third order moment characteristics
We define residuals for point process models fitted to spatial point pattern data, and propose diagn...
A new diagnostic method for point processes is here presented. It is based on their second-order ana...
Spatial mark correlation is an important component of modelling marked point processes. The correlat...
Moment characteristics are widely used for the statistical analysis of spatial point processes. Stan...
Second order characteristics, in particular Ripley's K-function, are widely used for the statis...
The description and analysis of spatial point patterns have mainly been based on first- and second-o...
In this thesis we examine estimation of the K-function which is an important second-order characteri...
Analyses of spatial point patterns tend to focus on deviations from randomness by either clustering ...
The paper presents introduction to spatial point processes and their characteristics. The reader is ...
Written by a prominent statistician and author, the first edition of this bestseller broke new groun...
Point processes are common in many physical applications found in engineering and biology. These pro...
This chapter gives a brief introduction to spatial point processes, with a view to applications. The...
A triplet of functions for the characterisation of planar point patterns is introduced, which are re...
We summarize and discuss the current state of spatial point process theory and directions for future...
Abstract: We propose new summary statistics for intensity-reweighted moment stationary point process...
We define residuals for point process models fitted to spatial point pattern data, and propose diagn...
A new diagnostic method for point processes is here presented. It is based on their second-order ana...
Spatial mark correlation is an important component of modelling marked point processes. The correlat...
Moment characteristics are widely used for the statistical analysis of spatial point processes. Stan...
Second order characteristics, in particular Ripley's K-function, are widely used for the statis...
The description and analysis of spatial point patterns have mainly been based on first- and second-o...
In this thesis we examine estimation of the K-function which is an important second-order characteri...
Analyses of spatial point patterns tend to focus on deviations from randomness by either clustering ...
The paper presents introduction to spatial point processes and their characteristics. The reader is ...
Written by a prominent statistician and author, the first edition of this bestseller broke new groun...
Point processes are common in many physical applications found in engineering and biology. These pro...
This chapter gives a brief introduction to spatial point processes, with a view to applications. The...
A triplet of functions for the characterisation of planar point patterns is introduced, which are re...
We summarize and discuss the current state of spatial point process theory and directions for future...
Abstract: We propose new summary statistics for intensity-reweighted moment stationary point process...
We define residuals for point process models fitted to spatial point pattern data, and propose diagn...
A new diagnostic method for point processes is here presented. It is based on their second-order ana...
Spatial mark correlation is an important component of modelling marked point processes. The correlat...