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Jern, Mikael
Publications (10 of 42) Show all publications
Ho, Q. & Jern, M. (2013). Geovisual Analytics and Storytelling Applied to a Flood Scenario. In: GeoViz: Interactive Maps that Help People Think. Paper presented at GeoViz: Interactive Maps that Help People Think. 6-8 March 2013, Hamburg, Germany.
Open this publication in new window or tab >>Geovisual Analytics and Storytelling Applied to a Flood Scenario
2013 (English)In: GeoViz: Interactive Maps that Help People Think, 2013Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

The paper considers how the integration between visualization and storytelling can make statistical findings more comprehensible and accessible to the general public. Traditional practices for geovisual analytics methods applied to official statistics require tools for greater user participation and an improved user experience. The approach set out in this paper allows the analyst (the author) to communicate with interested readers through visual discoveries captured in snapshots with descriptive text. The paper introduces HTML5 based geovisual analytics tools that facilitate storytelling aimed at producing statistical news content in support of an automatic authoring process. The author simply presses a button to publish the knowledge gained from a visual interactive discovery process within an interactive web context that could more engagingly draw the user into reflections and sometimes change a perspective altogether.

Keywords
Geovisual analytics, storytelling, web-enabled, interactive visualizations, multiple-linked views, flood data
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:liu:diva-91458 (URN)
Conference
GeoViz: Interactive Maps that Help People Think. 6-8 March 2013, Hamburg, Germany
Available from: 2013-04-25 Created: 2013-04-25 Last updated: 2013-05-03Bibliographically approved
Ho, Q., Lundblad, P. & Jern, M. (2013). Geovisual analytics framework integrated with storytelling applied to HTML5. In: The 16th AGILE International Conference on Geographic Information Science: Geographic Information Science at the Heart of Europe. Paper presented at The 16th AGILE International Conference on Geographic Information Science. 14-17 May 2013, Leuven, Belgium.
Open this publication in new window or tab >>Geovisual analytics framework integrated with storytelling applied to HTML5
2013 (English)In: The 16th AGILE International Conference on Geographic Information Science: Geographic Information Science at the Heart of Europe, 2013Conference paper, Published paper (Refereed)
Abstract [en]

The paper considers how the integration between visualization and storytelling can make statistical findings more comprehensible and accessible to the general public. Traditional practices for geovisual analytics methods applied to official statistics require tools for greater user participation and an improved user experience. The approach set out in this paper allows the analyst (the author) to communicate with interested readers through visual discoveries captured in snapshots with descriptive text. The paper introduces HTML5 based geovisual analytics tools that facilitate storytelling aimed at producing statistical news content in support of an automatic authoring process. The author simply presses a button to publish the knowledge gained from a visual interactive discovery process within an interactive web context that could more engagingly draw the user into reflections and sometimes change a perspective altogether.

Keywords: Geovisual analytics, storytelling, HTML5

National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:liu:diva-91470 (URN)
Conference
The 16th AGILE International Conference on Geographic Information Science. 14-17 May 2013, Leuven, Belgium
Available from: 2013-04-25 Created: 2013-04-25 Last updated: 2013-04-30Bibliographically approved
Ho, Q., Lundblad, P., Åström, T. & Jern, M. (2012). A Web-Enabled Visualization Toolkit for Geovisual Analytics. Information Visualization, 11(1), 22-42
Open this publication in new window or tab >>A Web-Enabled Visualization Toolkit for Geovisual Analytics
2012 (English)In: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 11, no 1, p. 22-42Article in journal (Refereed) Published
Abstract [en]

A framework and class library (GAV Flash) implemented in Adobe’s ActionScript is introduced, designed with the intention to significantly shorten the time and effort needed to develop customized web-enabled applications for geovisual analytics tasks. Through an atomic layered component architecture, GAV Flash provides a collection of interactive geo- and information visualization representations for exploring high dimensional spaces and extended with motion behavior. Versatile interaction methods are drawn from many data visualization research areas and optimized for dynamic web visualization of spatio-temporal and multivariate data. Based on layered component thinking and the use of programming interface mechanism the GAV Flash architecture is open and facilitates the creation of new or improved versions of existing components so that ideas can be tried out or optimized rapidly in a fully functional environment. Not only is GAV Flash a tool for interactive visualization but also supports storytelling around visual analytics in which visual representations not only serve as a discovery tool for individuals but also as a mean to share stories among users fostering a social style of collaborative data analysis. A mechanism “snapshot” for saving the explorative results of a reasoning process is introduced that aids collaboration and publication of gained insight and knowledge embedded as dynamic visualizations in blogs or web pages with associative metadata or “storytelling”.

Place, publisher, year, edition, pages
Sage Publications, 2012
Keywords
web-enabled visualization toolkit, geovisual analytics, storytelling, layered component architecture, multiple-linked views
National Category
Media and Communication Technology Other Computer and Information Science
Identifiers
urn:nbn:se:liu:diva-74199 (URN)10.1177/1473871611425870 (DOI)000300271700003 ()
Available from: 2012-01-26 Created: 2012-01-20 Last updated: 2018-01-12Bibliographically approved
Stenliden, L. & Jern, M. (2012). How Can We Study Learning with Geovisual Analytics Applied to Statistics?. Future Internet, 4(1), 22-41
Open this publication in new window or tab >>How Can We Study Learning with Geovisual Analytics Applied to Statistics?
2012 (English)In: Future Internet, ISSN 1999-5903, E-ISSN 1999-5903, Vol. 4, no 1, p. 22-41Article in journal (Refereed) Published
Abstract [en]

It is vital to understand what kind of processes for learning that Geovisual Analytics creates, as certain activities and conditions are produced when employing Geovisual Anlytic tools in education. To understand learning processes created by Geovisual Analytics, first requires an understanding of the interactions between the technology, the workplace where the learning takes place, and learners’ specific knowledge formation. When studying these types of interaction it demands a most critical consideration from theoretical perspectives on research design and methods. This paper first discusses common, and then a more uncommon, theoretical approach used within the fields of learning with multimedia environments and Geovisual Analytics, the socio-cultural theoretical perspective. The paper next advocates this constructivist theoretical and empirical perspective when studying learning with multiple representational Geovisual Analytic tools. To illustrate, an outline of a study made within this theoretical tradition is offered. The study is conducted in an educational setting where the Open Statistics eXplorer platform is used. Discussion of our study results shows that the socio-cultural perspective has much to offer in terms of what kind of understanding can be reached in conducting this kind of studies. Therefore, we argue that empirical research to analyze how specific communities use various Geovisual Analytics to evaluate information is best positioned in a socio-cultural theoretical perspective.(This article belongs to the Special Issue Geovisual Analytics)

Keywords
Geovisual Analytics; geovisualization; multiple representations; multimedia learning environment; learning studies; socio-cultural theoretical perspective; empirical methods
National Category
Educational Sciences
Identifiers
urn:nbn:se:liu:diva-92567 (URN)10.3390/fi4010022 (DOI)
Available from: 2013-05-13 Created: 2013-05-13 Last updated: 2017-12-06Bibliographically approved
Lundblad, P. & Jern, M. (2012). Visual Storytelling in Education Applied to Spatial-Temporal Multivariate Statistics Data. In: John Dill, Rae Earnshaw, David Kasik, John Vince, Pak Chung Wong (Ed.), Expanding the Frontiers of Visual Analytics and Visualization (pp. 175-193). Springer London
Open this publication in new window or tab >>Visual Storytelling in Education Applied to Spatial-Temporal Multivariate Statistics Data
2012 (English)In: Expanding the Frontiers of Visual Analytics and Visualization / [ed] John Dill, Rae Earnshaw, David Kasik, John Vince, Pak Chung Wong, Springer London, 2012, p. 175-193Chapter in book (Refereed)
Abstract [en]

The paper focuses on an ancient social ritual: “visual storytelling”—exemplified through telling stories about a country’s development over time that shape its economic growth and well-being. Discoveries are made that draw the user into reflecting on how life is lived—and may be improved—from one region to another. In addition, the user can interactively participate in the web-based process which is important to the education and dissemination of public statistics. A toolkit GAV Flash (geoanalytics visualization) is constructed which is programmed in Adobe’s ActionScript. This is the basis for the statistics information visualization application “World eXplorer”. This uses integrated storytelling and is based on multiple linked views and an integrated database link to the public World dataBank. This has more than 400 performance indicators for the time period 1960–2010. An interactive visual story mechanism assists teachers to improve a student’s knowledge through reflections on how life is lived by using a variety of demographics, such as healthcare, environment, and educational and economic indicators. Educators can develop interactive teaching material based on this storytelling mechanism. Integrated snapshots can be captured at any time during an explorative data analysis process and they become an important component of the analytical reasoning process. Students can access geovisual applications and explore statistical relations on their own guided by the stories prepared by the teachers. With the associated science of perception and cognition in relation to the use of multivariate spatio-temporal statistical data, this paper contributes to the growing interest in geovisual statistics analytics in education.

Place, publisher, year, edition, pages
Springer London, 2012
Keywords
sual storytelling, Public statistics, Demographic indicators, Statistics analytics
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-91352 (URN)10.1007/978-1-4471-2804-5_11 (DOI)978-1-4471-2803-8 (ISBN)978-1-4471-2804-5 (ISBN)
Available from: 2013-04-22 Created: 2013-04-22 Last updated: 2018-01-11
Ho, Q., Lundblad, P., Åström, T. & Jern, M. (2011). A Web-Enabled Visualization Toolkit for Geovisual Analytics. In: Chung Wong, Pak; Park, Jinah; Hao, Ming C.; Chen, Chaomei; Börner, Katy; Kao, David L.; Roberts, Jonathan C. (Ed.), Proceedings of SPIE, the International Society for Optical Engineering: SPIE: Electronic Imaging Science and Technology, Visualization and Data Analysis. Paper presented at Conference on Visualization and Data Analysis 2011 (EI107) (pp. 78680R-78680R-12). SPIE, Bellingham WA, ETATS-UNIS: SPIE - International Society for Optical Engineering
Open this publication in new window or tab >>A Web-Enabled Visualization Toolkit for Geovisual Analytics
2011 (English)In: Proceedings of SPIE, the International Society for Optical Engineering: SPIE: Electronic Imaging Science and Technology, Visualization and Data Analysis / [ed] Chung Wong, Pak; Park, Jinah; Hao, Ming C.; Chen, Chaomei; Börner, Katy; Kao, David L.; Roberts, Jonathan C., SPIE, Bellingham WA, ETATS-UNIS: SPIE - International Society for Optical Engineering, 2011, p. 78680R-78680R-12Conference paper, Published paper (Refereed)
Abstract [en]

We introduce a framework and class library (GAV Flash) implemented in Adobe’s ActionScript, designed with the intention to significantly shorten the time and effort needed to develop customized web-enabled applications for visual analytics or geovisual analytics tasks. Through an atomic layered component architecture, GAV Flash provides a collection of common geo- and information visualization representations extended with motion behavior including scatter matrix, extended parallel coordinates, table lens, choropleth map and treemap, integrated in a multiple, time-linked layout. Versatile interaction methods are drawn from many data visualization research areas and optimized for dynamic web visualization of spatio-temporal and multivariate data. Based on layered component thinking and the use of programming interface mechanism the GAV Flash architecture is open and facilitates the creation of new or improved versions of existing components so that ideas can be tried out or optimized rapidly in a fully functional environment. Following the Visual Analytics mantra, a mechanism “snapshot” for saving the explorative results of a reasoning process is developed that aids collaboration and publication of gained insight and knowledge embedded as dynamic visualizations in blogs or web pages with associative metadata or “storytelling”.

Place, publisher, year, edition, pages
SPIE, Bellingham WA, ETATS-UNIS: SPIE - International Society for Optical Engineering, 2011
Series
Proceedings of SPIE, the International Society for Optical Engineering, ISSN 0277-786X ; vol. 7868
Keywords
web-enabled visualization toolkit, geovisual analytics, storytelling, layered component architecture, multiple-linked views
National Category
Media and Communication Technology Other Computer and Information Science
Identifiers
urn:nbn:se:liu:diva-74108 (URN)10.1117/12.872250 (DOI)978-0-8194-8405-5 (ISBN)
Conference
Conference on Visualization and Data Analysis 2011 (EI107)
Available from: 2012-01-31 Created: 2012-01-19 Last updated: 2018-01-12Bibliographically approved
Ho, Q., Nguyen, P. & Jern, M. (2011). Implementation and evaluation of a owmap demonstrator for analyzing work commuting ows between Norway and Sweden. In: GeoViz: Linking geovisualization with spatial analysis and modeling. Paper presented at GeoViz: Linking geovisualization with spatial analysis and modeling, 10-11 March 2011, Hamburg, Germany.
Open this publication in new window or tab >>Implementation and evaluation of a owmap demonstrator for analyzing work commuting ows between Norway and Sweden
2011 (English)In: GeoViz: Linking geovisualization with spatial analysis and modeling, 2011Conference paper, Oral presentation with published abstract (Other academic)
Keywords
flow mapping, spatio-temporal data, multivariate, web-enable visualization, geovisual analytics;
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:liu:diva-91453 (URN)
Conference
GeoViz: Linking geovisualization with spatial analysis and modeling, 10-11 March 2011, Hamburg, Germany
Available from: 2013-04-25 Created: 2013-04-25 Last updated: 2013-05-03
Ho, Q., Nguyen, P., Åström, T. & Jern, M. (2011). Implementation of a Flow Map Demonstrator for Analyzing Commuting and Migration Flow Statistics Data. Paper presented at Spatial Thinking and Geographic Information Sciences 2011. Procedia - Social and Behavioral Sciences, 21, 157-166
Open this publication in new window or tab >>Implementation of a Flow Map Demonstrator for Analyzing Commuting and Migration Flow Statistics Data
2011 (English)In: Procedia - Social and Behavioral Sciences, ISSN 1877-0428, E-ISSN 1877-0428, Vol. 21, p. 157-166Article in journal (Refereed) Published
Abstract [en]

The interest for statistics visualization is emerging with the rise of geovisual analytics on the internet. National and sub-national statistics foundations have started to migrate from tabular representations to interactive web-enabled visualizations that can show trends. Interactive web-enable visualizations for movement data (or flow data) such as trade flows or commuting flows, however, are still rare. This paper covers spatial interactions and animation for a wide variety of realized movements of people such as commuting and migration between an origin and a destination visually expressed by directed weighted arrows over a geographic space. The paper is built around an interactive flow map demonstrator that can interactively explore and communicate large spatio-temporal and multivariate statistical flow datasets using bidirectional flow arrows where both in-coming and out-going flows can be clearly shown coordinated and linked with a choropleth map, histogram or parallel coordinates plot. The demonstrator is implemented with low-level components from our geovisual analytics toolkit GAV Flash designed with the intention to shorten the time and effort needed to develop customized web-enabled interactive visualization applications such as the introduced flow map application.

Place, publisher, year, edition, pages
Elsevier, 2011
Keywords
flow mapping, spatio-temporal data, multivariate, web-enable visualization, geovisual analytics;
National Category
Media and Communication Technology Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:liu:diva-74111 (URN)10.1016/j.sbspro.2011.07.029 (DOI)
Conference
Spatial Thinking and Geographic Information Sciences 2011
Available from: 2012-01-31 Created: 2012-01-19 Last updated: 2018-01-12Bibliographically approved
Stenliden, L. & Jern, M. (2011). Visual Storytelling – Understanding and Knowledge in Education. In: N. Callos, H.-W. Chu, W. Lesso, M.J. Savoie, F. Welsch, C.D. Zinn (Ed.), The  2nd International Multi-conference on Complexity, Informatics and Cybernetics: IMCIC 2011. Paper presented at International Symposium on Academic Informing Science & Engineering: isAISE 2011. Orlando, Florida: International Institute of Informatics and Systemics
Open this publication in new window or tab >>Visual Storytelling – Understanding and Knowledge in Education
2011 (English)In: The  2nd International Multi-conference on Complexity, Informatics and Cybernetics: IMCIC 2011 / [ed] N. Callos, H.-W. Chu, W. Lesso, M.J. Savoie, F. Welsch, C.D. Zinn, Orlando, Florida: International Institute of Informatics and Systemics , 2011Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a study of how geographic information visualization and Visual Storytelling (geovisual analytics) will be applied in school settings in order to 1) customize the application for educational purpose, 2) improve the teaching in social science and 3) study teachers and students experiences and learning.  - The application “Open Statistics eXplorer” will be used to improve the students knowledge and understanding of sophisticated statistical relations, - Teachers will be able to, individually and together, develop a dynamic teaching material through storytelling, through the web, - Students will be able to, with help of powerful geographical statistics, explore statistical relations on their own. A better understanding of how educators and their students can elicit deeper user understanding and participation by exploiting dynamic web-enabled statistics visualization is of importance. Together with the associated science of perception in learning in relation to the use of multidimensional spatio-temporal statistical data this will contribute to the research fields of geovisual analytics as well as educational science.

Place, publisher, year, edition, pages
Orlando, Florida: International Institute of Informatics and Systemics, 2011
National Category
Pedagogical Work Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-67461 (URN)ISBN-13: 978-1-936338-21-4 (ISBN)
Conference
International Symposium on Academic Informing Science & Engineering: isAISE 2011
Available from: 2011-04-14 Created: 2011-04-13 Last updated: 2018-01-12
Stenliden, L. & Jern, M. (2011). Visual Storytelling applied to educational world statistics. In: EDULEARN11 Proceedings: . Paper presented at 3rd International Conference on Education and New Learning Technologies, Barcelona, Spain, 4-6 July, 2011 (pp. 983-992). IATED
Open this publication in new window or tab >>Visual Storytelling applied to educational world statistics
2011 (English)In: EDULEARN11 Proceedings, IATED , 2011, p. 983-992Conference paper, Published paper (Other academic)
Abstract [en]

The paper focuses on the most ancient of social rituals: “storytelling” – exemplified through telling a geovisual analytics story about a country’s development over time and shape the measure of economic growth and well-being, applied in an educational setting to 1) customize a geovisual analytics application for educational purpose, 2) improve the teaching in social science and 3) study teachers and students experiences and learning. Our tool “World Statistics eXplorer” with a database link to the public World dataBank with more than 400 indicators for 1960-2009 will help to improve the students knowledge and understanding of a variety in national demographics, healthcare, environment and economic structures and their performances over a longer time period. Teachers might be able to, individually and together, develop a dynamic teaching material about the progress in the world through storytelling accessed on the Web. Students will be able to, with help of powerful geographical statistics, explore statistical relations on their own. A better understanding of how educators and their students can elicit deeper user understanding and participation by exploiting dynamic web-enabled statistics visualization is of importance. Together with the associated science of perception and learning in relation to the use of multidimensional spatio-temporal statistical data this will contribute to the research fields of geovisual analytics as well as educational science. 

Place, publisher, year, edition, pages
IATED, 2011
Keywords
geovisual analytics education, web-based learning, statistics visualization, statistics database, world databank
National Category
Pedagogical Work
Identifiers
urn:nbn:se:liu:diva-92568 (URN)978-84-615-0441-1 (ISBN)
Conference
3rd International Conference on Education and New Learning Technologies, Barcelona, Spain, 4-6 July, 2011
Available from: 2013-05-13 Created: 2013-05-13 Last updated: 2015-02-02Bibliographically approved
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