liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Geovisual Analytics Tools for Communicating Emergency and Early Warning
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (NCVA)
Regional Statistics OECD - Public Governance and Territorial Development Directorate, Organisation for Economic Co-operation and Development, Paris, France .
Swedish Meteorological and Hydrologic Institute SMHI, Norrköping, Sweden . (NCVA)
2010 (English)In: Geographic Information and Cartography for Risk and Crisis Management: Towards Better Solutions / [ed] Milan Konecny, Sisi Zlatanova, Temenoujka L. Bandrova, Springer Berlin/Heidelberg, 2010Chapter in book (Refereed)
Abstract [en]

The large and ever-increasing amounts of multi-dimensional, multi-source, time-varying and geospatial digital information represent a major challenge for the analyst. The need to analyse and make decisions based on these information streams, often in time-critical situations, demands efficient, integrated and interactive tools that aid the user to explore, present and communicate visually large information spaces. This approach has been encapsulated in the idea of Geovisual Analytics, an emerging interdisciplinary field based on the principles from Visual Analytics that facilitates analytical reasoning and decision making through integrated and highly interactive visual interfaces and creative visualization of complex and dynamic data. Geovisual analytics supports geo-information for emergency and early warning systems through a science that augments analyst and decision-maker capabilities to assimilate complex situations and reach informed decisions. Geovisual analytics originates from geovisualization and information visualization but also growing particularly on a high degree of synergy from scientific visualization. In this context, we introduce a web-enabled toolkit GeoAnalytics Visualization (GAV) and associate demonstrators developed in close collaboration with SMHI and OECD, composed of GAV components facilitating a broad collection of dynamic visualization methods integrated with the Adobe© Flash© and Flex©development platform. We also seek to support collaborative knowledge sharing.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2010.
, Lecture Notes in Geoinformation and Cartography, ISSN 1863-2246
National Category
Computer and Information Science
URN: urn:nbn:se:liu:diva-91353DOI: 10.1007/978-3-642-03442-8_26ISBN: 978-3-642-03441-1 (print)ISBN: 978-3-642-03442-8 (online)OAI: diva2:617256
Available from: 2013-04-22 Created: 2013-04-22 Last updated: 2013-05-03
In thesis
1. Applied Geovisual Analytics and Storytelling
Open this publication in new window or tab >>Applied Geovisual Analytics and Storytelling
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

'Geovisual Analytics' represents a cross-disciplinary research that looks for innovative methods to interactively visualize and solve large spatio-temporal related visualization problems for multivariate data through a visual discovery, reasoning and collaborative process. The name emphasizes the link with the well-known research discipline of Visual Analytics and could be viewed as sub-area with its specific focus on space and time posing specific research problems.

This thesis focuses on the design, implementation and evaluation of interactive analytical spatio-temporal and multivariate representations demonstrated in several application scenarios which contributes to our understanding of how technology, people and spatial representations of information work effectively together. Data are analysed through the use of coordinated and time-linked views controlled by a time slider. Trends are detected through several visual representations simultaneously, each of which is best suited to highlight different patterns and can help stimulate the analytical visual thinking process so characteristic for geovisual analytics reasoning. Interactive features include tooltips, brushing, highlight, visual inquiry, and conditioned statistics filter mechanisms that can discover outliers and simultaneously update all views.

To support knowledge capture and the communication and publishing of gained insights from the data exploration process, a visual storytelling concept with snapshots is introduced where the author can capture the visual data exploration process and share it. Snapshots are memorized interactive visualization views that are captured and later on recreated, so that the reader of the story can see the same mental interactive scenario as the author of the story. These snapshots are then part of a story where the author writes an explanatory text and uses the snapshots to highlight key words. These highlights will allow the reader to recreate the data views used by the author and will guide the reader to the visual discoveries made.

The contributions of this thesis are divided into two parts, where the first part includes applications based on geovisual analytics methods for exploring complex weather data and finding patterns and relationships within the data. Earlier, the use of data visualization has been very limited and the introduction of geovisual analytics and the techniques used have significantly improved the visual analysis process as well as increased the flexibility. The results of this research are today used by SMHI to improve optimization and safety of voyages and monitoring of the weather along Swedish roads. Formative evaluations were performed with domain analysts with the purpose to explore qualitative usability issues with respect to visual representations and interactive representation.

Furthermore, this thesis contributes with a visual storytelling approach which aims at giving domain experts novel methods for capturing and sharing information discoveries in a way that the reader can follow the process of visual exploration. This approach has been tested and verified within the domain of public statistics, where national and regional statistics is published to the public through the use of embedded interactive visualizations and a story that can engage the reader. The concept of visual storytelling has also been introduced to educators, where stories are used as interactive teaching material for students to make national and regional statistics interactive and visually understandable to the students. It will also challenge the students to investigate new theories and then communicate them visually.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2013. 59 p.
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1515
National Category
Computer Science
urn:nbn:se:liu:diva-91357 (URN)978-91-7519-629-9 (print) (ISBN)
Public defence
2013-05-30, Domteatern, Visualiseringscenter C, Kungsgatan 54, Norrköping, 09:15 (English)
Available from: 2013-04-24 Created: 2013-04-22 Last updated: 2013-05-03Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textFind book at a Swedish library/Hitta boken i ett svenskt bibliotekFind book in another country/Hitta boken i ett annat land

Search in DiVA

By author/editor
Jern, MikaelLundblad, Patrik
By organisation
Media and Information TechnologyThe Institute of Technology
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 86 hits
ReferencesLink to record
Permanent link

Direct link