We present a work in progress on developing a tool supporting real-time detection of significant clusters of spatial events and observing their evolution. The tool consists of an incremental stream clustering algorithm and coordinated map and timeline displays showing current situation and cluster evolution
The emerging spatial big data (e.g. detailed spatial trajectories, geo-referenced social media data)...
A dream goal of spatio-temporal event data analysis is to provide evidence and description of spatia...
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection...
We demonstrate a system of tools for real-time detection of significant clusters of spatial events a...
We present a work in progress on developing a tool supporting real-time detection of significant clu...
Spatial events, such as lightning strikes or drops in moving vehicle speed, can be conceptualized as...
The paper deals with density-based clustering of events, i.e. objects positioned in space and time, ...
Due to the advances in technology, such as smart phones, general mobile devices, remote sensors, and...
We suggest an approach to exploratory analysis of diverse types of spatiotemporal data with the use ...
We suggest an approach to exploratory analysis of diverse types of spatiotemporal data with the use ...
We describe a visual analytics method supporting the analysis of two different types of spatio-tempo...
Background\ud The task of spatial cluster detection involves finding spatial regions where some prop...
As applications generate massive amounts of data streams, the requirement for ways to analyze and cl...
Clustering of massive data is an important analysis tool but also challenging since the data often d...
As a typical form of geographical phenomena, spatial flow events have been widely studied in context...
The emerging spatial big data (e.g. detailed spatial trajectories, geo-referenced social media data)...
A dream goal of spatio-temporal event data analysis is to provide evidence and description of spatia...
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection...
We demonstrate a system of tools for real-time detection of significant clusters of spatial events a...
We present a work in progress on developing a tool supporting real-time detection of significant clu...
Spatial events, such as lightning strikes or drops in moving vehicle speed, can be conceptualized as...
The paper deals with density-based clustering of events, i.e. objects positioned in space and time, ...
Due to the advances in technology, such as smart phones, general mobile devices, remote sensors, and...
We suggest an approach to exploratory analysis of diverse types of spatiotemporal data with the use ...
We suggest an approach to exploratory analysis of diverse types of spatiotemporal data with the use ...
We describe a visual analytics method supporting the analysis of two different types of spatio-tempo...
Background\ud The task of spatial cluster detection involves finding spatial regions where some prop...
As applications generate massive amounts of data streams, the requirement for ways to analyze and cl...
Clustering of massive data is an important analysis tool but also challenging since the data often d...
As a typical form of geographical phenomena, spatial flow events have been widely studied in context...
The emerging spatial big data (e.g. detailed spatial trajectories, geo-referenced social media data)...
A dream goal of spatio-temporal event data analysis is to provide evidence and description of spatia...
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection...