A Visualization Approach for Cross-level Exploration of Spatiotemporal Data

Authors:
Hans-Jörg Schulz;Steffen Hadlak;Heidrun Schumann
Affiliations:
University of Rostock, Rostock, Germany;University of Rostock, Rostock, Germany;University of Rostock, Rostock, Germany
Venue:
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
Year:
2013

Citing 14
Cited 0

Exploratory cartographic visualization: advancing the agenda

Computers & Geosciences - Special issue on exploratory cartographic visualization
Query, analysis, and visualization of hierarchically structured data using Polaris

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Cluster and Calendar Based Visualization of Time Series Data

INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
Human Factors in Visualization Research

IEEE Transactions on Visualization and Computer Graphics
Clutter Reduction in Multi-Dimensional Data Visualization Using Dimension Reordering

INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Interactive Sankey Diagrams

INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Parallel Sets: Interactive Exploration and Visual Analysis of Categorical Data

IEEE Transactions on Visualization and Computer Graphics
Geographically Weighted Visualization: Interactive Graphics for Scale-Varying Exploratory Analysis

IEEE Transactions on Visualization and Computer Graphics
Jigsaw: supporting investigative analysis through interactive visualization

Information Visualization
Aggregation Functions: A Guide for Practitioners

Aggregation Functions: A Guide for Practitioners
Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines

IEEE Transactions on Visualization and Computer Graphics
Faceted Search

Faceted Search
Human-Centered Approaches in Geovisualization Design: Investigating Multiple Methods Through a Long-Term Case Study

IEEE Transactions on Visualization and Computer Graphics
Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey

IEEE Transactions on Visualization and Computer Graphics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Spatiotemporal data often relates to different levels of granularity in space, time, and data. Yet, bringing these levels together for an integrated visual exploration across levels poses a challenge up to this day. With this paper, we aim to provide a first solution approach to this challenge, which decomposes the data in its various levels to be able to show them side-by-side. Based on this decomposition, we derive a visual exploration approach that consists of a novel multilevel visualization, adjoined traditional spatial and temporal views, as well as of tailored exploration techniques for their concerted use. We exemplify the utility of this approach by case studies on election and poll data from Germany's various administrative levels and different time spans.