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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

Multi-Purpose Ontology-Based Visualization of Spatio-Temporal Data: A Case Study on Silk Heritage

TL;DR: STMaps (Spatio-Temporal Maps), a multipurpose knowledge-assisted ontology-based visualization tool of spatio-temporal data, is presented, which could be used to visualize the results of any domain (in other cultural and non-cultural contexts), provided that its datasets contain spatio/temporal information.
Journal ArticleDOI

Comprehensive Review and Future Research Directions on Dynamic Faceted Search

TL;DR: This paper extensively reviews related research articles published in IEEE Xplore, Web of Science, and the ACM digital library to provide a detailed analysis of the faceted search’s fundamental attributes, as well as to demonstrate the motivation from the usage, concerns, challenges, and recommendations to enhance the use of the facets approach among web search service providers.
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Interactive graph query language for multidimensional data in Collaboration Spotting visual analytics framework

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Journal ArticleDOI

Visualizing the Stability of 2D Point Sets from Dimensionality Reduction Techniques

TL;DR: A pairwise similarity measure for point sets is introduced, which is used to select a subset of representative ensemble members via the PageRank algorithm as an indicator of an individual member's value and to measure the stability of k‐neighbourhoods over the ensemble.
Journal ArticleDOI

SEEVis: A Smart Emergency Evacuation Plan Visualization System with Data‐Driven Shot Designs

TL;DR: A shot design approach to generate customized and narrative animations to track different evacuation features with different exploration purposes of users to help experts and users better embrace a comprehensive understanding of the earthquake evacuation.
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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