Special Issue "Interactive Visualizations: Design, Technologies, and Applications"

A special issue of Informatics (ISSN 2227-9709).

Deadline for manuscript submissions: closed (1 June 2014)

Special Issue Editors

Guest Editor
Dr. Robert S. Laramee

Department of Computer Science, Swansea University, Swansea SA2 8PP, Wales, United Kingdom
Website | E-Mail
Interests: data visualization; scientific visualization; information visualization; visual analytics
Guest Editor
Dr. Kamran Sedig

Department of Computer Science and The Faculty of Information & Media Studies, Western University, London, Ontario, N6A 5B7, Canada
Website | E-Mail

Special Issue Information

Dear Colleagues,

This special issue of the Informatics journal welcomes submissions on the topics of information visualization, visual analytics, scientific visualization, mathematical visualization, and visual reasoning. The emphasis of this special issue is interactive visualizations. This exciting and vibrant field is an increasingly important research area due to its wide range of applications in many disciplines. In general, our ability to collect, store, and archive data vastly exceeds our ability to derive useful knowledge and insight from it. This is a ubiquitous problem. By exploiting the human visual system, visualization is key to an understanding of phenomena by externalizing patterns and relationships in large, complex data sets and information spaces. Interacting with visualizations enhances their utility, allowing a greater degree of reasoning with information. This special issue welcomes applications, design, theory, and models and frameworks of interactive visualizations and visual analytics. We encourage authors to submit their original research articles, work in progress, surveys, reviews, and viewpoint articles in this field. Some sample topics include (but are not limited to):

  • Visual Data Analysis and Knowledge Discovery
  • Visual Representation and Interaction
  • Human-Centered Interactive Visualizations
  • Interactivity of Visualizations
  • Interaction with Visual Information
  • Foundations of Interactive Visual Analysis
  • Display and Interaction Technology
  • Databases and visualization, Visual Data Mining
  • Graph Visualization
  • Geospatial Visualization
  • Internet, Web and Security Visualization
  • Software Visualization
  • Information Visualization
  • Visual and Analytical Reasoning
  • Hardware-Assisted Visualization
  • High-dimensional Data and Dimensionality Reduction
  • Text and Document Visualization
  • Interpretation and Evaluation Methods
  • Knowledge-assisted Visualization
  • Large Data Visualization
  • Perception and Cognition in Visualization
  • Visualization Applications
  • Interactive Visualization Taxonomies and Models
  • Visualization Algorithms and Technologies
  • Visualization Tools for Simulation and Modeling
  • Time-dependent Visualization
  • Usability Studies and Visualization
  • Glyph-based Visualization
  • Collaborative Visualization
  • Coordinated and Multiple Views
  • Biomedical Visualization and Applications
  • Visual Health and Medical Informatics
  • Flow Visualization
  • GPU-based Visualization
  • Image/Video Summarization and Visualization
  • Multi-field Visualization
  • Parallel Visualization
  • Uncertainty Visualization
  • Vector/Tensor Field Visualization
  • Virtual Environments and Data Visualization
  • Volume Visualization
  • Visualization Systems

Dr. Robert S. Laramee
Dr. Kamran Sedig
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Informatics is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Open AccessArticle Analyzing Spatiotemporal Anomalies through Interactive Visualization
Informatics 2014, 1(1), 100-125; doi:10.3390/informatics1010100
Received: 24 February 2014 / Revised: 23 April 2014 / Accepted: 21 May 2014 / Published: 3 June 2014
PDF Full-text (32896 KB) | HTML Full-text | XML Full-text
As we move into the big data era, data grows not just in size, but also in complexity, containing a rich set of attributes, including location and time information, such as data from mobile devices (e.g., smart phones), natural disasters (e.g., earthquake and
[...] Read more.
As we move into the big data era, data grows not just in size, but also in complexity, containing a rich set of attributes, including location and time information, such as data from mobile devices (e.g., smart phones), natural disasters (e.g., earthquake and hurricane), epidemic spread, etc. We are motivated by the rising challenge and build a visualization tool for exploring generic spatiotemporal data, i.e., records containing time location information and numeric attribute values. Since the values often evolve over time and across geographic regions, we are particularly interested in detecting and analyzing the anomalous changes over time/space. Our analytic tool is based on geographic information system and is combined with spatiotemporal data mining algorithms, as well as various data visualization techniques, such as anomaly grids and anomaly bars superimposed on the map. We study how effective the tool may guide users to find potential anomalies through demonstrating and evaluating over publicly available spatiotemporal datasets. The tool for spatiotemporal anomaly analysis and visualization is useful in many domains, such as security investigation and monitoring, situation awareness, etc. Full article
(This article belongs to the Special Issue Interactive Visualizations: Design, Technologies, and Applications)

Journal Contact

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