We describe a visual analytics method supporting the analysis of two different types of spatio-temporal data, point events and trajectories of moving agents. The method combines clustering with interactive visual displays, in particular, map and space-time cube. We demonstrate the use of the method by applying it to two datasets from the VAST Challenge 2008: evacuation traces (trajectories of people movement) and landings and interdictions of migrant boats (point events)
Crimes, forest fires, accidents, infectious diseases, or human interactions with mobile devices (e.g...
We focus on visual analysis of space- and time-referenced categorical data, which describe possible ...
We focus on visual analysis of space- and time-referenced categorical data, which describe possible ...
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 ...
The VAST Challenge 2015 movement dataset is mirroring current challenges in the analysis of large sp...
One of the most common operations in exploration and analysis of various kinds of data is clustering...
Technological advances, especially in remote sensing, GPS sensors, and computer vision and camera-ba...
Abstract — Place-oriented analysis of movement data, i.e., recorded tracks of moving objects, includ...
We propose a visual analytics procedure for analyzing movement data, i.e., recorded tracks of moving...
Continuing advances in modern data acquisition techniques result in rapidly growing amounts of geo-r...
We propose a visual analytics procedure for analyzing movement data, i.e., recorded tracks of moving...
UID/CEC/00319/2019 UID/CEC/50021/2019Crimes, forest fires, accidents, infectious diseases, or human...
Crimes, forest fires, accidents, infectious diseases, or human interactions with mobile devices (e.g...
Thanks to the recent progress in positioning and tracking technologies, data about various mobile ob...
Crimes, forest fires, accidents, infectious diseases, or human interactions with mobile devices (e.g...
We focus on visual analysis of space- and time-referenced categorical data, which describe possible ...
We focus on visual analysis of space- and time-referenced categorical data, which describe possible ...
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 ...
The VAST Challenge 2015 movement dataset is mirroring current challenges in the analysis of large sp...
One of the most common operations in exploration and analysis of various kinds of data is clustering...
Technological advances, especially in remote sensing, GPS sensors, and computer vision and camera-ba...
Abstract — Place-oriented analysis of movement data, i.e., recorded tracks of moving objects, includ...
We propose a visual analytics procedure for analyzing movement data, i.e., recorded tracks of moving...
Continuing advances in modern data acquisition techniques result in rapidly growing amounts of geo-r...
We propose a visual analytics procedure for analyzing movement data, i.e., recorded tracks of moving...
UID/CEC/00319/2019 UID/CEC/50021/2019Crimes, forest fires, accidents, infectious diseases, or human...
Crimes, forest fires, accidents, infectious diseases, or human interactions with mobile devices (e.g...
Thanks to the recent progress in positioning and tracking technologies, data about various mobile ob...
Crimes, forest fires, accidents, infectious diseases, or human interactions with mobile devices (e.g...
We focus on visual analysis of space- and time-referenced categorical data, which describe possible ...
We focus on visual analysis of space- and time-referenced categorical data, which describe possible ...