Hide menu


Welcome to the National Center for Visual Analytics


We do research in InfoVis and Geovisual Analytics

Download this powerpoint presentation:

Introduction to Information Visualization and Geovisual Analytics 2014.pdf


Geovisual Analytics



Our mission is to develop, enhance and transfer the most advanced methods, tools and applications in Visual Analytics and Geovisual Analytics, discuss problems and possible approaches to solving them, and define appropriate directions for further research. NCVA collaborates with many leading research groups including Ericsson research Linkoping, Unilever Port Sunlight, SMHI Norrköping, SCB Statistics Sweden, OECD Paris, Eurostat, Norrköping Kommun, Linkoping Kommun, Göteborg Stad, Statistics Denmark and several European universities. Our visualization tools help these organizations to provide knowledge and advanced decision-making information and aims to contribute to increased social benefit and a sustainable society.

More information in this paper: A Web-Enabled Visualization Toolkit for Geovisual Analytics SPIE Paper Jan 2011.pdf

PLEASE contact me for comments or ideas about the NCVA web site! mikael.jern@liu.se


Statistical eXplorer provides world leading statistical data   geovisual analytics software

World eXplorer, Sverige eXplorer, Europe eXplorer and MDim eXplorer for education and research at the eXplorer website.

We are living in the age of data explosion. The need for analysing data, gaining insight into data and communicating the analytical results are continuously increasing. NCVA introduces an effective web-enabled geovisual analytics framework implemented, applied and verified in Adobe Flash ActionScript. It has been developed based on the principles behind geovisual analytics and designed to significantly reduce the time and effort needed to bring the benefits of geovisual analytics to the public. Statistics eXplorer was developed based on a component architecture and includes a wide range of visualization techniques enhanced with various interaction techniques and interactive features to support better data exploration and analysis. It also supports multiple linked views and a snapshot mechanism for capturing discoveries made during the exploratory data analysis process which can be used for sharing gained knowledge. Learn more about Statistics eXplorer from this video eXplorer Demonstrator.mp4 or visit the web site eXplorer.

World eXplorer


Try eXplorer at:

http://mitweb.itn.liu.se/GAV/world/ World eXplorer

http://mitweb.itn.liu.se/GAV/swe/#story=0  Sverige eXplorer

http://mitweb.itn.liu.se/GAV/mdim/#story=0  MDim eXplorer

OECD Regional eXplorer-Collaboration NCVA and OECD

Use the web-tools OECD eXplorer to compare demographic trends, economic, social and environmental performance of regions and metropolitan areas in OECD countries and to view interactive maps and other visual presentations of the regional database:


OECD Regional eXplorer



Figure OECD Regional eXplorer – ageing population in Europe 1990-2011 for TL3 regions (more than 4000 small regions). Regions with a low percentage of population aged 65+ i.e. 10,2% (the 20th percentile) are coloured in blue.  The motion bubble chart represents four indicators age 0-14, age 65+, total population (bubble size) and 65+ bubble colour. The special Distribution chart shows a range (focus&context) of countries with their small regions distributed along a horizontal axes based on the indicator age 65+. Selected regions are highlighted in all views (brushing) the map, bubble and distribution graphs: 

Read scientific paper by OECD and NCVA: http://www.oecd.org/gov/regional-policy/42711835.pdf



See video at: EU OECD eXplorer TL3 ageing population 1991-2006 with pie charts.mp4

Eurostat with applied geovisual analytics HTML5 visualization

With this interactive tool based on HTML5 software, users can now visualise Eurostat's regional data. Regional Statistics Illustrated contains more than 50 indicators by NUTS 2 regions, grouped into 10 statistical domains.

Using the interactive map, individual regions can quickly be selected while different visualisation options allow to compare and analyse regional data in an user-friendly way. An animated timeline shows how regions have performed over time. Regional Statistics Illustrated features the following visualisations:


  • Choropleth map
  • Distribution plot
  • Scatter plot
  • Bar chart
  • Data table

The tool accesses the latest available data in the Eurostat database so that the selected indicators always show the latest figures. For more information about the functionalities of the tool please see the help file.




Interactive Dashboard Visualization using HTML5

Figure: NCVA HTML5 geovisual analytics methods

HTML5 components

See (figure below) an example with World Map, Scatter Plot and Bar Chart (fish eye) :

http://mitweb.itn.liu.se/GAV/dashboard/#story=data/Ageing Population in the World.xml&layout=[map,(scatterplot,barchart)]


Dashboard HTML5 World Demonstrator


Try above educational geovisual analytics methods at: http://mitweb.itn.liu.se/GAV/dashboard/

Read this AGILE 2013 paper:

Geovisual Analytics and Storytelling Applied to Regional Statictics Using HTML5 - Agile Short paper.pdf


Patrik Lundblad and Quan Ho present their dissertations and receive PhD degrees.

Quan Ho, "Architecture and Applications of a geovisual Analytics Framework", Linköping Studies in Science and Technology. Dissertations, No. 1511, 2013.


Patrik Lundblad, " Applied Geovisual Analytics and Storytelling",  Linköping Studies in Science and Technology. Dissertations, No. 1515, 2013.



Flow Map eXplorer

demonstrated at Spatial Thinking and Geografic Information Sciences in Tokyo

We present our work on visualizing flow data through our Flow Map eXplorer project.

Flow Map

Read full paper at:

 Flow Map - STGIS - Paper.pdf

Slides can be downloaded here: Slides

Video Flow Map at: World Trading 1988-2008 Demonstrator.mp4


Video Flow Map Introduction:flowmap demonstrator.mp4


More information about Flow Map eXplorer at:

Flowmap eXplorer








Figure: Example of Flowmap eXplorer showing migration from and to Linkoping







Flow Map eXplorer Norway Sweden

Figure: Flow Map eXplorer Migration Sweden - Norway for counties

Flow Map eXplorer Norway-Sweden Demonstrator



NCVA and OECD announce a novel storytelling technique

Sound information at sub-national level and benchmarking of regions across national borders has increased in importance in the policy agenda of many countries due to higher integration driven by institutional processes and economic globalisation. Geovisual analytics techniques help illustrating complex data such as regional, spatiotemporal and multidimensional statistics. Interactive time-linked visual representations enable the users to simultaneously analyse relations among different variables. “OECD Regional eXplorer”, developed by NCVA in collaboration with OECD, is today a worldwide recognized web-enabled tool for visualizing and better understanding the socio-economic structure of OECD regions and their performance over time. Geovisual Analytics in the OECD Regional explorer has so far focused more on tools to analyse regional economic performance than on methods that efficiently publish gained knowledge. Storytelling is indeed part of the analytical process and represents a catalyst for discussion generating new value in a social setting. In this context, we introduce a novel storytelling that supports the editorial authoring process with the goal to advance technology critical to the sharing of information and publishing. With the introduction of this new technique, we are moving away from a clear distinction between authors and readers: The analyst can discuss with interested readers the visual discoveries which have been captured into snapshots together with descriptive text and hyperlinks. The author gets feedback from colleagues, adapts the story and publishes it using "Story". This advanced storytelling technology applied to OECD Regional eXplorer has become a complete on-line publication to highlight recent trends and relevant disparities among OECD regions. Comments and scientific paper at:




OECD regional eXplorer Storytelling




Visit also famous OECD Factbook eXplorer at:http://stats.oecd.org/oecdfactbook/#story=0




NCVA’s OECD eXplorer on the BBC News

OECD eXplorer on BBC News

On July 2nd BBC News showed a 3 minutes long program demonstrating OECD eXplorer in live action to explore and visualize complex regional statistical world data – a geovisual analytics technique developed by NCVA.

BBC News: http://news.bbc.co.uk/2/hi/8130554.stm







SMHI and Swedish Road Administration adopt GeoAnalytics tools from NCVA


During the winter months, the Swedish roads are dangerous for driving. Ice, rain and snow make the roads slippery and hundreds of people are killed or injured. The Swedish road administration based on measurements from 700 road stations prevents accidents by preparing the roads based on real-time weather forecasting. Today, this is done by accessing static pictures over Internet and direct contacts with meteorologists. The Road Warning Prediction application RoadVis was developed in collaboration with the SMHI and assembled from GAV Flash components (map with layer support, glyph layer, parallel coordinates, line diagram) demonstrates that advanced geovisual analytics tools are suitable for developing highly interactive and tailor-made applications applied to early warning management. The map shows stations coloured according to temperature or ice slipperiness. This application is published on the Web by the Swedish Road Administrator.

SMHI Swedish Road Administrator

Göteborg Stad joins NCVA as a new partner

Göteborg Stad

Göteborg Stad joins NCVA as a domain expert in statistics for Geovisual Analytics and will help move our strategic eXplorer development forward. NCVA also supports Goteborg Stad as associate partner in the EC project URBACT II-project LC-FACIL providing state-of-the-art statistics visualization tools for regional development. See also Goteborg eXplorer at: http://www.samhallsutvecklingen.se/explorer/#story=0

NCVA is awarded 1,5 Mkr from VINNOVA for collaboration with Ericsson Research

NCVA develops advanced Visual Analytics technology in close collaboration with partner Ericsson Research in Linkoping. This research was the foundation for a proposal to VINNOVA’s program: Smarter, faster, converging solutions within IT and data/tele communication as part of "Tomorrow's Communication". NCVA targets Visual Analytics, where novel techniques is being developed and applied to smart network management prototypes for mobile communication networks (MCN). The application area is network management of MCN in 3GPP defined systems, e.g. LTE. Additionally, we target solutions for Self Organizing Networks means, managing the complexity in large networks promoted by operators. The figure below shows a snapshot where large temporal and multivariate network data is analysed by operators.

A scientific research paper was recently presented at the VAST09 IEEE conference in Atlantic City USA. "Geovisual Analytics for Self-Organizing Network Data" by Ho Van Quan, Tobias Åström and Mikael Jern

Learn more at: ANROSS Mobile

Visualization of self organizing networks



OECD eXplorer V2



In October 2008, OECD launches OECD eXplorer

OECD has launched a powerful, interactive tool for visualising and analyzing regional statistics. OECD eXplorer combines maps and other graphics via the Internet, to increase the user's understanding of regional differences and structures across and within OECD countries. To try out the regional maps and statistics using OECD eXplorer, go to:




The development of OECD eXplorer is the result of a fruitful cooperation between OECD and NCVA,at Linköping University, Sweden. In the seminar on generating knowledge from statistics, organised by Statistics Sweden and OECD in Stockholm in May, Professor Mikael Jern from NCVA presented a first version with some OECD statistics. Since then, the development team at NCVA has worked intensively on improving the tool and adapting it to all the needs expressed by OECD.

Page manager: mikael.jern@liu.se
Last updated: 2014-03-26