The Department of Computer and Information Science in the Faculty of Science has a vacancy for a Junior Professorship Position for Visual Analytics (Salary Scale W 1) to be filled as soon as possible. The position is granted for three years and can be extended to a total of six years subject to successful performance [...]
We, a group of computer scientists, earth scientists and cartographers, are looking for a scientist / post doc who strengthens our geovisual analytics group. Our research focus is on developing geovisual analytics methods and tools which support earth scientists during their reasoning and knowledge creation process. Our group is located at the national lab “German [...]
One of the main Visual Analytics characteristics is the tight integration between automatic computation and interactive visualization. This generally corresponds to the availability of complex and powerful algorithms that allow for manipulating the data under analysis, transforming it in order to feed suitable visualizations. As an example, some Visual Analytics tools devoted to text analysis are based on the idea of extracting new data from the text (e.g., computing word frequencies or paragraph lengths) in order to produce visualizations that are based on these new derived pieces of information.
The adoption of Visual Analytics methodologies in security applications is an approach that could lead to interesting results. Usually, the data that has to be analyzed finds in a graphical representation its preferred nature, such as spatial or temporal relationships. Due to the nature of these applications, it is very important that key-details are made easy to identify. This article presents a visualization tool that graphically displays the movement of 82 employees of a department during an evacuation, of the building in which they were working, caused by an explosion of a bomb. Thirteen casual users were asked to identify potential suspects and observe what happened.
The overall goal of the Humanitics project, financed mainly by the Swiss National Science Foundation, is to develop visual analytics tools for public organizations to enhance collaborative knowledge discovery, information exchange and communication.
It was initiated as a collaboration between the University of Fribourg and the United Nations in Geneva. Each year, the United Nation manipulates and reports numerous data and information concerning world-wide health, illicit drug trade, environment and global climate change, diseases, energy, conflict, and humanitarian development concerns.
The increasing adoption of video surveillance makes it possible to watch over sensitive areas and identify people responsible for damage, theft and violence. However, when such events are not detected immediately, the subsequent video analysis can be a long and tedious task. In this article is presented a technique that allows a human investigator to focus only on those parts of a video showing the event as it unfolds, and so helping to save on the time needed to identify and understand how it happened. The presented technique creates a single interactive image of the whole video that shows everything that happened in the scene.
The research focusses on methods and techniques to integrate data from different sources and dimensions (2D, 3D, Time). The data are offered via a variety of map representations in multi-functional visual (online) environments that allow exploration and data analysis. To justify the solutions produced, usability research is an integral part of the activities.
Geographic data is characterized by a locational, attribute and temporal component. The time component can be a typical indicator of change of all sorts. For instance, movement data holds information about where the movement took place (the path), what was moving (the object), and especially when it was moving (the time frame). Examples are travel time between cities, the daily trips of commuters, or the possible average speed along a path etc.
How visualization helps to coordinate firefighting
The field of visual analytics has opened new directions for smart data analysis and knowledge discovery. Utilizing rich and novel visualization methods and appropriate interaction mechanisms, visual analytics technologies exploit the perceptual abilities and intuition of humans, capacities that have not been matched by machines yet. CERTH / ITI has an active interest in the field of visual analytics and is investing effort into developing relevant technologies.This article presents some of the the current research conducted in CERTH / ITI in the field of visual analytics.
On May 10, 11 on Guimaraes Portugal a workshop, GeoVA(t), was held in conjunction with the AGILE International Conference on Geographic Information Sciences.
This workshop had 35 submissions evaluated by five workshop chairs. On the basis of the evaluation (two reviews per submission) 25 papers were accepted for presentation at the workshop. Among them, 16 were invited to be extended for the second round of reviewing for special issues of Int Journal GIScience and Journal of Location based Services.
