Add to ORKGSpatial mark correlation is an important component of modelling marked point processes. The correlation function is defined by extending the definition of the K-function as follows: ò ××××+G×
<p>Point-biserial correlation coefficients () as the measure of correlation between the values of th...
<p>Correlations of the spatial proximity values with the expression level difference in the initial ...
A new second order statistic based on the mark correlation function to analyse spatial p...
Three functions that analyze point patterns are the L (a transformation of Ripley’s K function), pai...
Within the applications of spatial point processes, it is increasingly becoming common that events a...
In this thesis we examine estimation of the K-function which is an important second-order characteri...
Empty space function, J-function, Marked point pattern, Mark correlation function, Nearest neighbour...
This book offers essential, systematic information on the assessment of the spatial association betw...
A spatial marked point process describes the locations of randomly distributed events in a region, w...
Point processes are random local finite sets of points in a space that are used for mod- elling and ...
A derivative of the Lotka-Volterra reaction diffusion mechanism was discussed using the framework of...
ABSTRACT. We propose a new summary statistic for inhomogeneous intensity-reweighted moment stationar...
Although many studies of marked point processes analyse patterns in terms of purely spatial relation...
<p>Correlation coefficients of spatial patterns and spatial filters between the resting state and th...
We introduce the local t-weighted marked nth-order inhomogeneous K-function, in a Functional Marked ...
<p>Point-biserial correlation coefficients () as the measure of correlation between the values of th...
<p>Correlations of the spatial proximity values with the expression level difference in the initial ...
A new second order statistic based on the mark correlation function to analyse spatial p...
Three functions that analyze point patterns are the L (a transformation of Ripley’s K function), pai...
Within the applications of spatial point processes, it is increasingly becoming common that events a...
In this thesis we examine estimation of the K-function which is an important second-order characteri...
Empty space function, J-function, Marked point pattern, Mark correlation function, Nearest neighbour...
This book offers essential, systematic information on the assessment of the spatial association betw...
A spatial marked point process describes the locations of randomly distributed events in a region, w...
Point processes are random local finite sets of points in a space that are used for mod- elling and ...
A derivative of the Lotka-Volterra reaction diffusion mechanism was discussed using the framework of...
ABSTRACT. We propose a new summary statistic for inhomogeneous intensity-reweighted moment stationar...
Although many studies of marked point processes analyse patterns in terms of purely spatial relation...
<p>Correlation coefficients of spatial patterns and spatial filters between the resting state and th...
We introduce the local t-weighted marked nth-order inhomogeneous K-function, in a Functional Marked ...
<p>Point-biserial correlation coefficients () as the measure of correlation between the values of th...
<p>Correlations of the spatial proximity values with the expression level difference in the initial ...
A new second order statistic based on the mark correlation function to analyse spatial p...