Analyzing Spatiotemporal Anomalies through Interactive Visualization
Journal Title: Informatics - Year 2014, Vol 1, Issue 1
Abstract
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. View Full-Text
Authors and Affiliations
Tao Zhang, Qi Liao, Lei Shi and Weishan Dong
Keywords
Related Articles
- EP ID EP44032
- DOI https://doi.org/10.3390/informatics1010100
- Views 324
- Downloads 0
Design, Use and Evaluation of E-Learning Platforms: Experiences and Perspectives of a Practitioner from the Developing World Studying in the Developed World
Electronic learning platforms are evolving and their evaluation is becoming more complex and challenging with time. Yet, the evaluation of electronic learning services is intrinsically linked to improving the performan...
A Recommender System for Programming Online Judges Using Fuzzy Information Modeling
Programming online judges (POJs) are an emerging application scenario in e-learning recommendation areas. Specifically, they are e-learning tools usually used in programming practices for the automatic evaluation of so...
Designing a Situational Awareness Information Display: Adopting an Affordance-Based Framework to Amplify User Experience in Environmental Interaction Design
User experience remains a crucial consideration when assessing the successfulness of information visualization systems. The theory of affordances provides a robust framework for user experience design. In this article,...
What Is This Sensor and Does This App Need Access to It?
Mobile sensors have already proven to be helpful in different aspects of people’s everyday lives such as fitness, gaming, navigation, etc. However, illegitimate access to these sensors results in a malicious program ru...
Molecular Imaging of Bacterial Infections in vivo: The Discrimination between Infection and Inflammation
Molecular imaging by definition is the visualization of molecular and cellular processes within a given system. The modalities and reagents described here represent a diverse array spanning both pre-clinical and clinic...