International audienceNowadays, an abundance of sensors are used to collect very large datasets containing spatial points which can be mined and analysed to extract meaningful patterns and information. This article examines patterns which describe the dispersion of 2D data around a central tendency. Several state of the art patterns for point cluster analysis are presented and critiqued before a new pattern, the oriented spatial box plot, is defined. The oriented spatial box plot extends the classical one-dimensional box plot for summarising and visualising 2D point clusters. The pattern is suitable for detecting outliers and understanding the spatial density of point clusters
International audienceNowadays, an abundance of sensors are used to collect very large datasets of m...
Visualization of 2D point clouds is one of the most basic yet one of the most important problems in ...
Density-based clustering algorithms such as DBSCAN have been widely used for spatial knowledge disco...
Nowadays, an abundance of sensors are used to collect very large datasets containing spatial points...
International audienceNowadays, an abundance of sensors are used to collect very large da-tasets con...
Spatial cluster analysis is a uniquely interdisciplinary endeavour, and so it is important to commun...
Spatial data mining seeks to discover meaningful patterns in data where a prime dimension of interes...
Visualization of high-dimensional data requires a mapping to a visual space. Whenever the goal is to...
1. A new method of quantifying spatial pattern was introduced for two-dimensional mapped data, with ...
Although many statistical approaches have been developed to quantify and assess spatial point patter...
In the early spatial point process literature, point patterns were typically small, observed in 2D,...
International audienceClusters in a data point field exhibit spatially specified regions in the obse...
It has been established that spatial clustering patterns are scale-dependent. However, scale is stil...
Due to the advances in technology, such as smart phones, general mobile devices, remote sensors, and...
Extracting meaningful patterns from large databases is a relevant task in several areas of geographi...
International audienceNowadays, an abundance of sensors are used to collect very large datasets of m...
Visualization of 2D point clouds is one of the most basic yet one of the most important problems in ...
Density-based clustering algorithms such as DBSCAN have been widely used for spatial knowledge disco...
Nowadays, an abundance of sensors are used to collect very large datasets containing spatial points...
International audienceNowadays, an abundance of sensors are used to collect very large da-tasets con...
Spatial cluster analysis is a uniquely interdisciplinary endeavour, and so it is important to commun...
Spatial data mining seeks to discover meaningful patterns in data where a prime dimension of interes...
Visualization of high-dimensional data requires a mapping to a visual space. Whenever the goal is to...
1. A new method of quantifying spatial pattern was introduced for two-dimensional mapped data, with ...
Although many statistical approaches have been developed to quantify and assess spatial point patter...
In the early spatial point process literature, point patterns were typically small, observed in 2D,...
International audienceClusters in a data point field exhibit spatially specified regions in the obse...
It has been established that spatial clustering patterns are scale-dependent. However, scale is stil...
Due to the advances in technology, such as smart phones, general mobile devices, remote sensors, and...
Extracting meaningful patterns from large databases is a relevant task in several areas of geographi...
International audienceNowadays, an abundance of sensors are used to collect very large datasets of m...
Visualization of 2D point clouds is one of the most basic yet one of the most important problems in ...
Density-based clustering algorithms such as DBSCAN have been widely used for spatial knowledge disco...