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Journal ArticleDOI

Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey

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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.

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Journal ArticleDOI

Research on Visualization of Multi-Dimensional Real-Time Traffic Data Stream Based on Cloud Computing

TL;DR: This paper employs data mining processing and statistical analysis on real-time traffic data stream, based on the parameters standards of various data mining algorithms, and by using computer graphics and image processing technology, converts graphics or images and make them displayed on the screen according to the system requirements.
Journal ArticleDOI

Noise-Based Volume Rendering for the Visualization of Multivariate Volumetric Data

TL;DR: A method that allows simultaneous real-time visualization of multivariate data and redistributes the opacity within a voxel to improve the readability of the color defined by a regular transfer function, and to maintain the see-through capabilities of volume rendering.
Proceedings ArticleDOI

Multivariate volume visualization through dynamic projections

TL;DR: A multivariate volume visualization framework that tightly couples dynamic projections with a high-dimensional transfer function design for interactive volume visualization and allows the design of the transfer function under multiple dynamic views, which is more flexible than being restricted to a single static view of the data.
Proceedings ArticleDOI

Approaches and Challenges in the Visual-interactive Comparison of Human Motion Data.

TL;DR: This work reflects the design space for visual-interactive systems facilitating the visual comparison of human MoCap data, and presents a taxonomy comprising three primary factors, following the general visual analytics process: algorithmic models, visualizations for motion comparison, and back propagation of user feedback.
Journal ArticleDOI

Modeling coordinated multiple views of heterogeneous data cubes for urban visual analytics

TL;DR: The concept of multidimensional data cubes as the theoretical framework for coordination across visualizations provides an implicit coordination based on cube structures and a framework to establish links between a dataset with its aggregates in a one-to-many fashion.
References
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Book

Self-Organizing Maps

TL;DR: The Self-Organising Map (SOM) algorithm was introduced by the author in 1981 as mentioned in this paper, and many applications form one of the major approaches to the contemporary artificial neural networks field, and new technologies have already been based on it.
Journal ArticleDOI

Exploratory data analysis

F. N. David, +1 more
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Journal ArticleDOI

The Elements of Statistical Learning

Eric R. Ziegel
- 01 Aug 2003 - 
TL;DR: Chapter 11 includes more case studies in other areas, ranging from manufacturing to marketing research, and a detailed comparison with other diagnostic tools, such as logistic regression and tree-based methods.
Journal ArticleDOI

A Computer Movie Simulating Urban Growth in the Detroit Region

TL;DR: A Computer Movie Simulating Urban Growth in the Detroit Region as discussed by the authors was made to simulate urban growth in the city of Detroit, Michigan, United States of America, 1970, 1970.
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