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GeoAnalytics Tools Applied to Large Geospatial Datasets

GeoAnalytics Tools Applied to Large Geospatial Datasets

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International Conference on Information Visualisation (IV)

作者： Mikael Jern Tobias Åström Sara Johansson VITA-Visualization Technology and Applications Linkoping University Sweden

Geovisual analytics focuses on finding location-related patterns and relationship. Many approaches exist but generally do not scale well with large spatial datasets. We propose three enhancements that facilitate scalable geovisual analytics of voluminous geospatial data based on geographic mapping coordinated and linked with parallel coordinates (PC): 1) texture-based geographic mapping that exploits GPU-based rendering performance applied to overview + detail views, 2) statistical methods embedded in PC, 3) aggregated dynamic grid maps that integrate with PC. In this context, we have extended our previous introduced psilaGeoAnalyticspsila visualization (GAV) framework and class library with a novel implementation of the standard PC using an atomic layered component architecture that allows new ideas to be implemented and assessed without having to rewrite a complete functional PC component. We demonstrate our proposed enhancements applied to a large geospatial dataset containing more than 10,000 Swedish zip (postal) code regions described by more than three million (X, Y) boundary coordinates and includes many associated demographics and statistical attributes.

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Visual Analytics Presentation Tools Applied in HTML Documents

Visual Analytics Presentation Tools Applied in HTML Document...

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International Conference on Information Visualisation (IV)

作者： Mikael Jern Jakob Rogstadius Tobias Åström Anders Ynnerman VITA-Visualization Technology and Applications Linkoping University Sweden

In this paper we present novel means to communicate and present gained knowledge using semi-guided interactive visualizations embedded in standard HTML documents. The goal of the work is to let the analyst (author) explore data and simultaneously save important discoveries and thus enable collaboration and sharing of gained insights over the Internet. The readers of the document will benefit from receiving an integrated and interactive document that can "coach" them in the understanding and testing of hypotheses leading to faster understanding and a higher confidence level in the presented visual information. The approach is based on the visual analytics (VA) toolkit (GAV), which also provides a mechanism that supports the storage of interactive events in an analytical reasoning process through "memorized interactive visualization views" or snapshots that can be saved at any time during an explorative data analysis process. In a typical scenario an application, comprised of GAV VA components, is embedded in the HTML document together with target data and the snapshots of discoveries. Any standard HTML event, such as the user clicking a textual link or an image can be used to instantiate a snapshot, creating a link between a descriptive text and an interactive visualization presentation. As the GAV application and corresponding data are integrated with the HTML code, residing on the client machine, hardware accelerated graphics can be used to provide interactive performance of demanding visualizations. We demonstrate the potential of the developed methods in the context of geoanalytics and molecular visualization scenarios.

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Integrating InfoVis and GeoVis Components

Integrating InfoVis and GeoVis Components

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International Conference on Information Visualisation (IV)

作者： Mikael Jern Johan Franzen VITA-Visualization Technology and Applications Linkoping University Sweden

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 mixture of technologies from the three visualization fields; information visualization, geovisualization and scientific visualization. Our research concentrates on improving visual user interfaces (VUI) methods and extends existing visual representation techniques. In this paper, we demonstrate the synergy of integrating a wide range of different methods using multiple-linked views with a rich variety of possible coordination exploration ideas and allowing the user to view the information from different perspectives and try out different scenarios. The effectiveness of our proposed framework is demonstrated in a tailor-made case study assembled from GAV components and explores the supply and use of energy data for controlling the emission of carbon dioxide among 290 Swedish municipality regions during 1990-2004.

关键词： Data visualization Carbon dioxide Local government Visual analytics Libraries Statistics Power generation economics Environmental economics Performance analysis User interfaces

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The GAV Toolkit for Multiple Linked Views

The GAV Toolkit for Multiple Linked Views

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International Conference on Coordinated and Multiple Views in Exploratory visualization

作者： Mikael Jern Sara Johansson Jimmy Johansson Johan Franzen VITA-Visualization Technology and Applications Linkoping University Sweden

ISBN: (纸本)9780769529035;0769529038

Implementing InfoVis multivariate data tools, timelinked coordinated views and visual dynamic queries with conditioning from scratch is not a simple programming task. Our research objective is to develop a generic GeoAnalytics visualization (GAV) component toolkit, based on the principles behind visual analytics (VA), for dynamically exploring time-varying, geographically referenced and multivariate attributes simultaneously. GAV includes components based on a synergy of technologies from information visualization, geovisualization and scientific visualization. Our research concentrates on improving visual user interfaces (VUI) methods and trying to extend existing visual representation techniques. The effectiveness of our proposed component toolkit and framework is demonstrated in two customized applications GeoWizard analysing multivariate energy usage data for Swedish municipalities and MD-Explorer exploring multivariate data using novel interactive ternary diagrams. We use parallel coordinates with embedded visual inquiry methods that serves as a visual control panel for dynamically linked and coordinated views. Finally, discoveries made during the visual exploration process can be captured and organized in a format for later recall and communication to others.

关键词： Data visualization Dynamic programming Visual analytics User interfaces Data analysis Communication system control Electronic design automation and methodology Graphics Graphical user interfaces Pattern analysis

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