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Page 1. Visual Storytelling Knowledge and Understanding in Education Linnéa Stenliden ISV, Linköping University, Norrköping, Sweden and Mikael Jern NCVA, MIT, Linköping University, Norrköping, Sweden ABSTRACT ...
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For more information see our research web site: http://ncva.itn.liu.se
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DESCRIPTION The voluminous nature of social scientific, spatial-temporal statistical databases calls for high interactive performance and creative integrated information based on InfoVis and geo-visualization tools. A solution to this... more
DESCRIPTION The voluminous nature of social scientific, spatial-temporal statistical databases calls for high interactive performance and creative integrated information based on InfoVis and geo-visualization tools. A solution to this challenge can be found in Visual Analytics, a science of analytical reasoning facilitated by interactive visual interfaces and innovative visualization. This slide presentation give an introduction lecture to “Geovisual Analytics”, based on the principles behind VA but also include many famous InfoVis methods. The objective is to define new suitable approaches and tools for exploring time variant and multivariate attributes simultaneous including a spatial dimension. Parallel coordinates are introduced that integrate with time series and trend graph and serves as a visual control panel for links demonstrators. Multivariate attribute dynamic queries can express simultaneously queries involving time varying spatial data. VA encourages the need to build a...
Official statistics such as demographics, environment, health, social-economy and education from national and sub-national sources are a rich and important source of information for many important aspects of life and should be considered... more
Official statistics such as demographics, environment, health, social-economy and education from national and sub-national sources are a rich and important source of information for many important aspects of life and should be considered to be more used and acknowledged in education. Educators and their students would be able to get informed and at the same time participate in increasing the knowledge on how life is lived and can be improved. A lot of this statistics information can be reached on the Internet. This is producing what is often called information overload and causing people to be increasingly faced with the problems of filtering and interpreting enormous quantities of information. We know that official statistics are used as a more or less important background for decisions especially in public planning and policy making. However, in education, official statistics are much less recognized and used than they ought to be and among the informed public they are even less u...
During the last decade, virtual reality (VR) has emerged from the realm of science fiction fantasies to be experienced by thousands of people. The development of hardware and software support for VR also has led to ahuge expansion in the... more
During the last decade, virtual reality (VR) has emerged from the realm of science fiction fantasies to be experienced by thousands of people. The development of hardware and software support for VR also has led to ahuge expansion in the number of applications supported by the medium. The collection of state-of-the-art developments presented in this volume explores the principal application areas of VR systems, and addresses some of the main issues for potential users. Application areas covered include medicine and surgery, engineering and simulation, systems development and modeling, televirtuality, art and education. Human factors issues in VR are also discussed. Explores the principal application areas of VR systems and addresses the central issues Discusses human factors in VR Covers VR applications in medicine, engineering, system modeling, art, and education Contributors are renowned experts in the VR field
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ABSTRACT Official statistics such as demographics, environment, health, social economy and education from regional territories are a rich and important source of information for many important aspects of life. Web-enabled geovisual... more
ABSTRACT Official statistics such as demographics, environment, health, social economy and education from regional territories are a rich and important source of information for many important aspects of life. Web-enabled geovisual analytics is a technique that can help illustrating comprehensive statistical data which for the eye are hard perceive or interpret. In this paper, we introduce “storytelling” means for the author to 1) select spatio-temporal and multivariate statistical data, 2) explore and discern trends and patterns, 3) orchestrate and describe metadata, 4) collaborate with colleagues to confirm and 5) finally publish essential gained insight and knowledge embedded as dynamic visualization “Vislet” in a blog or web page. The author can guide the reader in the directions of both context and discovery while at the same time follow the analyst’s way of logical reasoning. We are moving away from a clear distinction between authors and readers affecting the process through which knowledge is created and the traditional models which support editorial work. Value no longer relies solely on the content but also on the ability to access this information. See also http://ncva.itn.liu.se for more information related to this project.
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In this paper, we extend our generic ldquoGeoAnalyticsrdquo visualization (GAV) component toolkit, based on the principles behind Visual Analytics (VA), to also support time-oriented, geographically referenced and multivariate attribute... more
In this paper, we extend our generic ldquoGeoAnalyticsrdquo visualization (GAV) component toolkit, based on the principles behind Visual Analytics (VA), to also support time-oriented, geographically referenced and multivariate attribute volumetric data. GAV includes components that support a mixture of technologies from the three data visualization fields: information visualization (InfoVis), geovisualization (GeoVis) and scientific visualization (SciVis). Our research concentrates on visual
Research Interests: Scientific Visualization, Information Visualization, Data Analysis, Visual Analytics, User Interface, and 11 moreGeovisualization, Data Visualization, Data Visualisation, Assembly, User interfaces, Data Manipulation, Graphical User Interfaces, Information Analysis, Directional Data, Geographic Information System, and Geographic Information Systems
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Research Interests: Information Retrieval, Data Mining, Information Visualization, User Interface, Virtual Worlds, and 16 moreData Warehouse, Data Visualization, Data Visualisation, Virtual Reality, Navigation, Graphics, HTML, Interaction Techniques, Drilling, World Wide Web, Graphical User Interfaces, Hyperlinks, Geospatial Data, Glyphs, Internet, and Region of Interest
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A thin client, by definition, have minimal software requirements necessary to function as a user interface front-end for a Web enabled application and raises the issue of client vs. server data visualization rendering. Real-time visual... more
A thin client, by definition, have minimal software requirements necessary to function as a user interface front-end for a Web enabled application and raises the issue of client vs. server data visualization rendering. Real-time visual data manipulation doesn't translate well into a "thin" client. While the VRML file format allows distribution of visualization scenes to the Web, the user has no access to the actual underlying data source. The "mapping" of numerical data into geometry format (VRML) takes place at the server side.Local data manipulation, information drill-down technique, context sensitive menus, object picking and other interactive user interface functions that traditionally have been available on the client are now controlled by the visualization server. In the "thin" client model, nearly all functionality is delivered from the server side of the visualization engine while the client perform very simple display and querying functions.Web components and Plug-ins are now being used to overcome some of these limitations. Java allows the creation of "applets" and "JavaBeans" and we have Windows/COM components. These components together with data reduction methods can significantly increase the data interaction between the client application and user, and allow tasks to be executed on the client. Highly interactive user interface tasks are delivered that provide point-and-click navigation through multidimensional data structures. Visual data interfaces such as information drilling, moving a cutting plane through a volume data set etc can be supported.The implication of using a static VRML environment with reduced geometry is compared to sending compressed data to the client and perform interactive client data visualization on a desktop.
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... Any of the following techniques are applicable: Plug-ins, Helper Applications, Java applets,ActiveX control or JavaBeans. ... The first step in the process of creating an ActiveX control with AVSiExpress is the design of the... more
... Any of the following techniques are applicable: Plug-ins, Helper Applications, Java applets,ActiveX control or JavaBeans. ... The first step in the process of creating an ActiveX control with AVSiExpress is the design of the actual visualization control (data viewer). ...
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ABSTRACT
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Cellular radio networks are continually growing in both node count and complexity. It therefore becomes more difficult to manage the networks and necessary to use time and cost effective automatic algorithms to organize the network's... more
Cellular radio networks are continually growing in both node count and complexity. It therefore becomes more difficult to manage the networks and necessary to use time and cost effective automatic algorithms to organize the network's neighbor cell relations. There have been a number of attempts to develop such automatic algorithms. Network operators, however, may not trust them because they need to have an understanding of their behavior and of their reliability and performance, which is not easily perceived. This paper presents a novel web-enabled geovisual analytics approach to exploration and understanding of self-organizing network data related to cells and neighbor cell relations. A demonstrator and case study are presented in this paper, developed in close collaboration with the Swedish telecom company Ericsson and based on large multivariate, time-varying and geospatial data provided by the company. It allows the operators to follow, interact with and analyze the evolution of a self-organizing network and enhance their understanding of how an automatic algorithm configures locally-unique physical cell identities and organizes neighbor cell relations of the network. The geovisual analytics tool is tested with a self-organizing network that is operated by the Automatic Neighbor Relations (ANR) algorithm. The demonstrator has been tested with positive results by a group of domain experts from Ericsson and will be tested in production.
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An academic directory and search engine.
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Abstract Extracting actionable insight from large high-dimensional data sets, and its use for more effective decision-making, has become a pervasive problem across many application fields in both research and industry. The objective of... more
Abstract Extracting actionable insight from large high-dimensional data sets, and its use for more effective decision-making, has become a pervasive problem across many application fields in both research and industry. The objective of our presentation is to report on some ...
Research Interests: Knowledge Management, Data Mining, Data Analysis, Statistical Analysis, User Interface, and 12 moreData Visualization, Data Visualisation, Biomedical Imaging, Geovisualisation, User interfaces, Real Time Systems, Unsupervised Learning, High Dimensional Data, Graphical User Interfaces, Real Time, Multidimensional Data Analysis, and Multidimensional Systems
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... more
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 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 explorer has so far focused more on tools to analyse regional economic performance than on methods that efficiently publish gained knowledge. Publication is indeed part of the analytical process and it could become a cat...
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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... more
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
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Recent advances in web-enabled graphics technologies have the potential to make a dramatic impact on developing highly interactive Geovisual Analytics applications for the Internet. An emerging and challenging application domain is... more
Recent advances in web-enabled graphics technologies have the potential to make a dramatic impact on developing highly interactive Geovisual Analytics applications for the Internet. An emerging and challenging application domain is geovisualization of regional (sub-national) statistics. Higher integration driven by institutional processes and economic globalisation is eroding national borders and creating competition along regional lines in the world market. Sound
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Extracting actionable insight from large high dimensional data sets, and its use for more effective decision-making, has become a pervasive problem across many fields in research and industry. We describe an investigation of the... more
Extracting actionable insight from large high dimensional data sets, and its use for more effective decision-making, has become a pervasive problem across many fields in research and industry. We describe an investigation of the application of tightly coupled statistical and visual analysis techniques to this task. The approach we choose is "unsupervised learning" where we investigate the advantages offered by
Research Interests: Computer Science, Decision Making, Data Mining, Data Analysis, Statistical Analysis, and 13 moreUser Interface, Neural Networks, Data Visualization, Data Visualisation, Visual Analysis, Knowledge Discovery, User interfaces, Unsupervised Learning, High Dimensional Data, Graphical User Interfaces, Mathematical Model, Self Organized Map, and Classification Algorithms
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Research Interests: Visualization, Information Visualization, Visual Analytics, Analytics, Data Visualization, and 13 moreComputer Programming, Programming, Interfaces, Implementation, Web Service, Multivariate Data, Web Pages, Matrices, Data Analysis and Visualization, Meta data, Web Visualization, Component Architecture, and Data Format
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Research Interests: Geography, Cartography, Information Visualization, Data Analysis, Visual Analytics, and 10 moreData Visualization, Data Visualisation, Visual Analysis, Interactive Visualization, Multiple Perspectives, Data Structures, Information Analysis, Multivariate Data, Data Dissemination, and Geographic Information Systems
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Research Interests: Scientific Visualization, Information Visualization, Data Analysis, Visual Analytics, Dynamic programming, and 13 moreUser Interface, Data Visualization, Data Visualisation, Graphics, User interfaces, Visual Programming, Graphical User Interfaces, Visual Representation, Multivariate Data, Geographic Information Systems, Multiple Views, Time varying, and Pattern analysis
Research Interests: Data Analysis, Process Control, Clustering Algorithms, Correspondence Analysis, Data Visualization, and 11 moreData Visualisation, Displays, Categorical data analysis, Clustering, Interactive Visualization, Frequency, Data Structures, Domain Knowledge, Data representation, Information Analysis, and Scattering
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The large and ever-increasing amounts of time-varying and geospatial digital weather information related to emergency scenarios that must be accessible to the public represent a major research challenge. A need to analyze and make... more
The large and ever-increasing amounts of time-varying and geospatial digital weather information related to emergency scenarios that must be accessible to the public represent a major research challenge. A need to analyze and make decisions, often in time-critical situations, demand interactive web-enabled visualization tools that can aid the user to explore, communicate and publish visually large geo-information spaces. Geovisual analytics
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We introduce our generic GeoAnalytics visualization (GAV) component toolkit, based on the principles behind Visual Analytics (VA), for dynamically exploring time-varying, geographically referenced and multivariate attribute data. GAV... more
We introduce our generic GeoAnalytics visualization (GAV) component toolkit, based on the principles behind Visual Analytics (VA), for dynamically exploring time-varying, geographically referenced and multivariate attribute data. GAV includes components that supports a ...
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Parallel coordinates are widely used in many applications for visualization of multivariate data. Because of the nature of parallel coordinates, the visualization technique is often used for data overview. However, when the number of... more
Parallel coordinates are widely used in many applications for visualization of multivariate data. Because of the nature of parallel coordinates, the visualization technique is often used for data overview. However, when the number of tuples to be visualized ...
Research Interests: Data Analysis, Clustering Algorithms, Data Visualization, Data Visualisation, Displays, and 11 moreNavigation, Interactive Visualization, Unsupervised Learning, Data Clustering, Multivariate Data, Unsupervised Clustering, Self Organized Map, Filtering, Multidimensional Systems, Visualization Technique, and Self Organizing Map
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This paper reflects a challenging applied research task to stimulate, at global level, exchange of statistical measures and knowledge through innovative Geovisual Analytics techniques. Establish progress initiatives at international and... more
This paper reflects a challenging applied research task to stimulate, at global level, exchange of statistical measures and knowledge through innovative Geovisual Analytics techniques. Establish progress initiatives at international and regional (sub-national) levels for measuring and collaborating, through statistical indicators, economic, social and en- vironmental developments and to engage both statisticians and public. Higher integration driven by institutional proc- esses and economic globalisation is eroding national borders and creating competition along regional lines in the world market. Sound information at sub-national level and benchmarking of regions across countries, therefore, has increased in importance in the policy agenda of many countries. In this context, National Center for Visual Analytics (NCVA) has in close collaboration with OECD developed "OECD eXplorer" - a customized Web-compliant tool for in- teractively analyzing and communicating gained insi...
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Recent advances in web-enabled graphics technologies have the potential to make a dramatic impact on developing highly interactive Geovisual Analytics applications for the Internet. An emerging and challenging application domain is... more
Recent advances in web-enabled graphics technologies have the potential to make a dramatic impact on developing highly interactive Geovisual Analytics applications for the Internet. An emerging and challenging application domain is geovisualization of regional (sub-national) statistics. Higher integration driven by institutional processes and economic globalisation is eroding national borders and creating competition along regional lines in the world market. Sound information at sub-national level and benchmarking of regions across countries, therefore, has increased in importance in the policy agenda of many countries. In this paper, we introduce "OECD eXplorer" - an interactive tool for analyzing and communicating gained insights and discoveries about spatial-temporal and multivariate OECD regional data. This database is a potential treasure chest for policy-makers, researchers and citizens to gain a better understanding of a region's structure and performance and t...
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Edited by Ebad Banissi, Liz Stuart, Mikael Jern, Gennady Andrienko, Francis T. Marchese, Nasrullah Memon, Reda Alhajj, Theodor G. Wyeld, Remo Aslak Burkhard, Georges Grinstein, Dennis Groth, Anna Ursyn, Carsten Maple, Anthony Faiola, and... more
Edited by Ebad Banissi, Liz Stuart, Mikael Jern, Gennady Andrienko, Francis T. Marchese, Nasrullah Memon, Reda Alhajj, Theodor G. Wyeld, Remo Aslak Burkhard, Georges Grinstein, Dennis Groth, Anna Ursyn, Carsten Maple, Anthony Faiola, and Brock Craft ... Interactive Quantification of Categorical Variables in Mixed Data Sets........................................ 1 Sara Johansson, Mikael Jern, Jimmy Johansson ... Visualization and Level-of-Detail Control for Multi-Dimensional Bioactive Chemical Data ..................................................................................................................................... ...
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Official statistics are used as a more or less important background for decisions especially in public planning and policy making. However, in education, official statistics are much less recognized and used than they could be and among... more
Official statistics are used as a more or less important background for decisions especially in public planning and policy making. However, in education, official statistics are much less recognized and used than they could be and among the informed public they are even less used. Web-enabled Geovisual Analytics is a technique that can help illustrating spatio-temporal statistical data which for the eye are hard to uncover or even are not possible to perceive or interpret. We introduce novel “storytelling” means for the educator to 1) select any spatio-temporal and multidimensional national or sub-national statistical data, 2) explore and discern trends and patterns, 3) then orchestrate and describe metadata, 4) collaborate with colleagues to confirm and 5) finally publish essential gained insight and knowledge embedded as dynamic visualization “Vislet” in blogs or wikis with associate metadata. The educator can guide the reader in the directions of both context and discovery while at the same time follow the analyst’s way of logical reasoning. This emerging technology could in many ways change the terms and structures for learning, especially for the young generation. A better understanding of how educators and students can exploit visualization and its associated science of perception and learning is the focus of this paper in relation to the use of official statistical data. The results show that the geovisual analytics can be effective for students and it is easy for them to understand and control the interactive tools. It is sufficient for supporting the apprehension of connections between different kinds of statistical data. The user satisfaction and learning possibilities are extensive.