| 1. |
- Jern, Mikael, 1946-, et al.
(författare)
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GeoAnalytics Tools Applied to Large Geospatial Datasets
- 2008
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Ingår i: Information Visualisation, 2008. IV '08. 12th International Conference. - Los Alamitos, CA, USA : IEEE Computer Society. - 9780769532684 ; , s. 362-372
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Konferensbidrag (refereegranskat)abstract
- 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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| 2. |
- Jern, Mikael, 1946-, et al.
(författare)
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Visual Analytics Presentation Tools applied in HTML Documents
- 2008
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Ingår i: Information Visualisation, 2008. IV '08. 12th International Conference. - Los Alamitos, CA, USA : IEEE Computer Society. - 9780769532684 ; , s. 200-207
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Konferensbidrag (refereegranskat)abstract
- 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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| 3. |
- Johansson, Sara, et al.
(författare)
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Interactive Quantification of Categorical Variables in Mixed Data Sets
- 2008
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Ingår i: Information Visualisation, 2008. IV '08. 12th International Conference. - Los Alamitos, California : IEEE Computer Society. - 9780769532684 ; , s. 3-10
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Konferensbidrag (refereegranskat)abstract
- Data sets containing a combination of categorical and continuous variables (mixed data sets) are difficult to analyse since no generalized similarity measure exists for categorical variables. Quantification of categorical variables makes it possible to represent this type of data using techniques designed for numerical data. This paper presents a quantification process of categorical variables in mixed data sets that incorporates information on relationships among the continuous variables into the process, as well as utilizing the domain knowledge of a user. An interactive visualization environment using parallel coordinates as a visual interface is provided, where the user is able to control the quantification process and analyse the result. The efficiency of the approach is demonstrated using two mixed data sets.
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| 4. |
- Lundblad, Patrik, et al.
(författare)
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Voyage Analysis Applied to Geovisual Analytics
- 2008
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Ingår i: Proceedings of the 12th IEEE International Conference on Information Visualisation. - Los Alamitos : IEEE Society Press. - 9780769532684 ; , s. 381-388
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Konferensbidrag (refereegranskat)abstract
- This paper demonstrates the synergy of common InfoVis and GeoVis interaction techniques and the logistic application domain demonstrated in the customized visualize performance data (VISPER) application. In VISPER multi-dimensional, multi-source, time-varying and geospatial digital information from voyage analysis is represented to facilitate decision-making. Using common InfoVis components for multivariate data together with logistics visualization in a new synergy aids the users in their work examining ship and route performance. An evaluation of the usability was performed to gather insights for future development. The results from the evaluation show that the overall impression of VISPER was highly positive and participants enjoyed using it. Feedback obtained was highly valuable and directly applicable for improvements and further development.
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| 5. |
- Riveiro, Maria, 1978-, et al.
(författare)
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Visual Analytics for the Detection of Anomalous Maritime Behavior
- 2008
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Ingår i: Proceedings of 12th International Conference on Information Visualisation IV08. - : IEEE Computer Society. - 9780769532684 ; , s. 273-279
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Konferensbidrag (refereegranskat)abstract
- The surveillance of large sea areas often generates huge amounts of multidimensional data. Exploring, analyzing and finding anomalous behavior within this data is a complex task. Confident decisions upon the abnormality of a particular vessel behavior require a certain level of situation awareness that may be difficult to achieve when the operator is overloaded by the available information. Based on a visual analytics process model, we present a novel system that supports the acquisition of situation awareness and the involvement of the user in the anomaly detection process using two layers of interactive visualizations. The system uses an interactive data mining module that supports the insertion of the user's knowledge and experience in the creation, validation and continuous update of the normal model of the environment.
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