Intelligent Visualisation and Information Presentation for Civil Crisis Management

Abstract

This paper describes an ongoing research work on developing methods for effective visualisation support for situation analysis, decision making, and communication in the course of disaster management. The major goals are to reduce the information load of the analyst, decision maker, or information recipient without omission of anything important and to ensure quick and accurate comprehending of the information. The work embraces the issues of selection of the relevant information and defining the appropriate level of detail, data preparation (aggregation and other transformations), and selection of the appropriate methods for visual representation depending on the user's tasks or communication goals, recipient's profile, and the target presentation medium. A practical outcome from the research will be a knowledge base that can be used to support analysis, decision making, and information communication in emergency situations. A great part of the knowledge, specifically, knowledge on data transformation and representation, is generic and can be used for different applications.

Cartographic Visualization of Outputs for Spatial Decision-Making in Regional Development

“…Thanks to use of programming language and advanced graphics software geovisualization goes through considerable development (Dickmann 2002). G. Andrienko and N. Andrienko (2006) and Friedmannová et al (2006) define smart geovisualisation describing a visualization based on selection of relevant information, appropriate scale and methods of visual representation according to topic, users profile and form of presentation. Mac-Eachren (1994) discusses two concepts of geographic visualization.…”

Intelligent geovisualizations for open government data (vision paper)

“…Furthermore, the article used the existing literature to point out where we currently stand, and to outline ways forward (highlighting that much still needs to be done to get where we want to be). Andrienko and Andrienko [4] proposed a system which can be viewed as an early implementation of the 'generation of geovisualization designs' feature mentioned above. Their distinction between domain-dependent and domain-independent components of an intelligent visualization is useful, and this article has outlined steps currently needed to further advance research on the latter type of component, pointing out that recent progress in geo-ontologies, information visualization research, computational user interface design, and the science of cartographic interaction offer new prospects for tackling the issue of automatically picking the right geovisualization for a given task.…”

Assessing climate change vulnerability in the arctic using geographic information services in spatial data infrastructures

“…Considering distributed spatial decision support as the methodological basis for distributed vulnerability assessment in SDIs, most activities focus on providing decision makers with the visualisation of (partly time-critical and ad-hoc) relevant information (Andrienko and Andrienko 2006). Only a few approaches go beyond data access and visualisation to also incorporate analysis and decision support methods via interoperable geographic information services, such as Bernard et al (2003a, b); Rinner (2003), Rinner and Raubal (2004), and Kiehle et al (2006).…”