<p>The normalized and centered Ripley’s K function is proportional to the number of pairs of points that are closer than in . Deviations of from (CSR) in clustering or dispersion conditions have to be compared with objective level of significance that are quantiles of at level </p
SIGLEAvailable from British Library Document Supply Centre- DSC:D32893/80 / BLDSC - British Library ...
ads is an R package that performs multi-scale spatial point pattern analyses through methods derived...
We develop statistical methods for analysing a pattern of points on a region of the sphere, includin...
Three functions that analyze point patterns are the L (a transformation of Ripley’s K function), pai...
In spatial statistics, Ripley's K function (Ripley, 1977) is a classical tool to analyse spatial poi...
<p><i>Panel A</i>: Ripley’s K-function is defined as the average number of events within a predefine...
International audienceWe generalize Ripley's K function to get a new function, M, to characterize th...
We generalize Ripley’s K function to get a new function, M, to characterize the spatial structure of...
Ripley’s Kt function is a tool for analyzing com-pletely mapped spatial point process data (see Poi...
<p>Note that the black circular regions (black pixels) are considered to be outside the study region...
Abstract. Traditional measures of spatial industry concentration are restricted to given areal units...
<p>Ripley’s K is a measure of clustering across a range of spatial scales, transformed here such tha...
Spatial data are commonly referenced in various fields. The K-function may be the most commonly used...
The analysis of spatial point patterns is commonly focused on the distances to the nearest neighbor....
Ripley’s 835 c3e function is the classical tool to characterize the spatial structure of point patt...
SIGLEAvailable from British Library Document Supply Centre- DSC:D32893/80 / BLDSC - British Library ...
ads is an R package that performs multi-scale spatial point pattern analyses through methods derived...
We develop statistical methods for analysing a pattern of points on a region of the sphere, includin...
Three functions that analyze point patterns are the L (a transformation of Ripley’s K function), pai...
In spatial statistics, Ripley's K function (Ripley, 1977) is a classical tool to analyse spatial poi...
<p><i>Panel A</i>: Ripley’s K-function is defined as the average number of events within a predefine...
International audienceWe generalize Ripley's K function to get a new function, M, to characterize th...
We generalize Ripley’s K function to get a new function, M, to characterize the spatial structure of...
Ripley’s Kt function is a tool for analyzing com-pletely mapped spatial point process data (see Poi...
<p>Note that the black circular regions (black pixels) are considered to be outside the study region...
Abstract. Traditional measures of spatial industry concentration are restricted to given areal units...
<p>Ripley’s K is a measure of clustering across a range of spatial scales, transformed here such tha...
Spatial data are commonly referenced in various fields. The K-function may be the most commonly used...
The analysis of spatial point patterns is commonly focused on the distances to the nearest neighbor....
Ripley’s 835 c3e function is the classical tool to characterize the spatial structure of point patt...
SIGLEAvailable from British Library Document Supply Centre- DSC:D32893/80 / BLDSC - British Library ...
ads is an R package that performs multi-scale spatial point pattern analyses through methods derived...
We develop statistical methods for analysing a pattern of points on a region of the sphere, includin...
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