Journal ArticleDOI
Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey
Johannes Kehrer,Helwig Hauser +1 more
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TLDR
This survey studies existing methods for visualization and interactive visual analysis of multifaceted scientific data and suggests new solutions for multirun and multimodel data as well as techniques that support a multitude of facets.Abstract:
Visualization and visual analysis play important roles in exploring, analyzing, and presenting scientific data. In many disciplines, data and model scenarios are becoming multifaceted: data are often spatiotemporal and multivariate; they stem from different data sources (multimodal data), from multiple simulation runs (multirun/ensemble data), or from multiphysics simulations of interacting phenomena (multimodel data resulting from coupled simulation models). Also, data can be of different dimensionality or structured on various types of grids that need to be related or fused in the visualization. This heterogeneity of data characteristics presents new opportunities as well as technical challenges for visualization research. Visualization and interaction techniques are thus often combined with computational analysis. In this survey, we study existing methods for visualization and interactive visual analysis of multifaceted scientific data. Based on a thorough literature review, a categorization of approaches is proposed. We cover a wide range of fields and discuss to which degree the different challenges are matched with existing solutions for visualization and visual analysis. This leads to conclusions with respect to promising research directions, for instance, to pursue new solutions for multirun and multimodel data as well as techniques that support a multitude of facets.read more
Citations
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Journal ArticleDOI
Visual Comparison of Customer Stickiness in Retail Stores
TL;DR: This paper presents a system that focuses on the analysis of customer stickiness which represents customers' affinity to retail stores and demonstrates the effiectiveness of the system through two case studies including advertisement placement and business branch reconfiguration.
Journal ArticleDOI
COMPO*SED: Composite Parallel Coordinates for Co-Dependent Multi-Attribute Choices.
TL;DR: Composite Parallel Coordinates is proposed, a novel parallel coordinates technique to effectively represent the interplay of component alternatives in a system that builds upon a dedicated data model that formally describes the interaction of components.
Journal ArticleDOI
Unraveling water monitoring association towards weather attributes for response proportions data: A unit-Lindley learning
Paulo H. Ferreira,Anderson O Fonseca,Diego C. Nascimento,Estefanía Bonnail,Francisco Louzada +4 more
TL;DR: A statistical model called unit-Lindley regression model is proposed, for the purpose of Statistical Process Control (SPC), and a new control chart tool was proposed, which targets the water monitoring dynamic, as well as the monitoring of relative humidity, per minute, of Copiapó city, located in Atacama Desert, north of Chile.
Journal ArticleDOI
Creating and evaluating web-based visualizations of multi-dimensional spatiotemporal data
TL;DR: The results suggest that visualization elements such as animated maps, static maps and charts are particularly useful for certain types of tasks, and that more answering time correlates with less accurate answers.
Proceedings ArticleDOI
Data Analysis on Multivariate Image Set
Shruti Nair,Sungsoo Ha,Wei Xu +2 more
TL;DR: This work presents feature analysis by proposing a new correlation metric to reduce the data redundancy, and encodes each image as a high dimensional vector and analyze the patterns hidden in the image set to achieve better comprehension of the material nanostructure properties.
References
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Book
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Journal ArticleDOI
The Elements of Statistical Learning
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Journal ArticleDOI
A Computer Movie Simulating Urban Growth in the Detroit Region
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