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Multivariate cube integrated retinal variable to visually represent multivariable data

H.T. Nguyen, A.V.T. Tran, T.A.T. Nguyen, L.T. Vo, P.V. Tran
2017 EAI Endorsed Transactions on Context-aware Systems and Applications  
For visualization of multivariable data, multivariate cube meets with the limitation of screen and human vision.  ...  The combination of multivariate cube and retinal variables in data visualization significantly increases visual characteristics.  ...  The data may be represented on a multivariate cube, where time axis is the common-used reference axis. The asked analytical questions are: • What weather factors affect the number of patients?  ... 
doi:10.4108/eai.6-7-2017.152757 fatcat:n7wye7hknzbxngpsiqjygm76ga

A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP)

Diansheng Guo, Jin Chen, A.M. MacEachren, Ke Liao
2006 IEEE Transactions on Visualization and Computer Graphics  
We demonstrate the system with an application to the IEEE InfoVis 2005 Contest data set, which contains time-varying, geographically referenced, and multivariate data for technology companies in the US  ...  The research reported here integrates computational, visual, and cartographic methods to develop a geovisual analytic approach for exploring and understanding spatio-temporal and multivariate patterns.  ...  The views and conclusions contained in this document are those of the author(s) and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied  ... 
doi:10.1109/tvcg.2006.84 pmid:17073369 pmcid:PMC3170656 fatcat:jfptca52kfh7li6nuu5b2nxg6a

GeoAnalytics visual inquiry and filtering tools in parallel coordinates plots

Sara Johansson, Mikael Jern
2007 Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems - GIS '07  
In this paper, we introduce an enhanced parallel coordinates (PC) component, integrating statistical methods for visual inquiries and filtering of spatial and multivariate data, a component that provides  ...  The GAV framework is based on the principles behind Visual Analytics (VA) and the developement is aiming to facilitate the extraction of complex patterns in large data sets via visual interaction.  ...  Two dimensions of the cube are used to store multivariate data where the axes represent (1) spatial regions and (2) their attributes.  ... 
doi:10.1145/1341012.1341055 dblp:conf/gis/JohanssonJ07 fatcat:m24uozumxrhbbp6tsdw6ewffy4

A Framework for Visual Analytics of Spatio-Temporal Sensor Observations from Data Streams

Bolelang H Sibolla, Serena Coetzee, Terence L Van Zyl
2018 ISPRS International Journal of Geo-Information  
This paper presents (1) a state of the art review into visual analytics of geospatial, spatio-temporal streaming data, and (2) proposes a framework based on the identified gaps from the review.  ...  Sensor networks generate substantial amounts of frequently updated, highly dynamic data that are transmitted as packets in a data stream.  ...  Acknowledgments: The authors would like to thank the four anonymous reviewers and the editorial team for their contribution towards improving the paper.  ... 
doi:10.3390/ijgi7120475 fatcat:znmxbnrpd5c75kmqoayiv2boiq

MultiNode-Explorer: A Visual Analytics Framework for Generating Web-based Multimodal Graph Visualizations [article]

Sohaib Ghani, Niklas Elmqvist, David S. Ebert
2012 Eurographics Conference on Visualization  
We show examples for a large research organization, a visual search engine for a Wiki, and for NSF funding data.  ...  We propose MultiNode-Explorer, a visual analytics framework that is capable of transforming multidimensional datasets into an entity-relationship (E-R) model and visualizing the data as node-link diagrams  ...  One popular such approach is Online Analytical Processing (OLAP) [CCS93] , which uses the concept of a "data cube" as a set of items with values in different dimensions.  ... 
doi:10.2312/pe/eurovast/eurova12/067-071 dblp:conf/vissym/GhaniEE12 fatcat:wxkh64togzb6zatdppz7l5v55y

A web-enabled Geovisual Analytics tool applied to OECD Regional Data [article]

Mikael Jern, Monica Brezzi, Lars Thygesen
2009 Eurographics State of the Art Reports  
In this paper, we introduce "OECD eXplorer" – an interactive tool for analyzing and communicating gained insights and discoveries about spatial-temporal and multivariate OECD regional data.  ...  Many approaches and tools have been developed in spatial-related knowledge discovery but generally they do not scale well with dynamic visualization of larger spatial data on the Internet.  ...  Each OECD region is represented by a string passing through the parallel axes. Each axis represents a single indicator in the data cube.  ... 
doi:10.2312/ega.20091004 fatcat:o6ywvxeaijaohnvufkxgajwiae

Introduction to the Special Issue on Interactive Computational Visual Analytics

Remco Chang, David S. Ebert, Daniel Keim
2014 ACM transactions on interactive intelligent systems (TiiS)  
It explains why visual analytics is crucial to the growing needs surrounding data analysis, and it shows how the four articles selected for this issue reflect this theme.  ...  This editorial introduction describes the aims and scope of ACM Transactions on Interactive Intelligent Systems's special issue on interactive computational visual analytics.  ...  While the scope of visual analytics is broad, one principle that has emerged over the years is the need for visual analytics systems to leverage computational methods in statistics, data mining, knowledge  ... 
doi:10.1145/2594648 fatcat:bwtdcbl4g5gmjju4zuafz4r76i

Quantifying Uncertainty in Multivariate Time Series Pre-Processing

Christian Bors, Jürgen Bernard, Markus Bögl, Theresia Gschwandtner, Jörn Kohlhammer, Silvia Miksch
2019 Eurographics Conference on Visualization  
In multivariate time series analysis, pre-processing is integral for enabling analysis, but inevitably introduces uncertainty into the data.  ...  We address this challenge by formalizing the quantification of uncertainty for multivariate time series preprocessing.  ...  I 2850 (-N31), Lead Agency Procedure (D-A-CH) "Visual Segmentation and Labeling of Multivariate Time Series (VISSECT)".  ... 
doi:10.2312/eurova.20191121 dblp:conf/vissym/BorsBBGKM19 fatcat:4tzzrypujbedtp6ztwxqivjbju

Toward flexible visual analytics augmented through smooth display transitions

Christian Tominski, Gennady Andrienko, Natalia Andrienko, Susanne Bleisch, Sara Irina Fabrikant, Eva Mayr, Silvia Miksch, Margit Pohl, André Skupin
2021 Visual Informatics  
Visualizing big and complex multivariate data is challenging.  ...  available for visual analytics.  ...  Acknowledgments The authors gratefully acknowledge that this work is a result of the Dagstuhl Seminar 19192 on Visual Analytics for Sets over Time and Space [69] .  ... 
doi:10.1016/j.visinf.2021.06.004 fatcat:rmakbqryeradpjixj6nti7uaqu

Macroprudential oversight, risk communication and visualization

Peter Sarlin
2016 Journal of Financial Stability  
data cube.  ...  For visualizing the so-called macroprudential data cube, we provide the VisRisk platform with three modules: plots, maps and networks.  ...  While maps provide analytical means for representing the three standard dimensions of a data cube in simple formats, networks aim at visualization of the fourth data cube dimension of interlinkages.  ... 
doi:10.1016/j.jfs.2015.12.005 fatcat:xzaexkxgdrfb5otbizdh6kjnry

Earth system data cubes unravel global multivariate dynamics

Miguel D. Mahecha, Fabian Gans, Gunnar Brandt, Rune Christiansen, Sarah E. Cornell, Normann Fomferra, Guido Kraemer, Jonas Peters, Paul Bodesheim, Gustau Camps-Valls, Jonathan F. Donges, Wouter Dorigo (+8 others)
2020 Earth System Dynamics  
An implementation of this concept combines analysis-ready data cubes with a suitable analytic interface.  ...  Here, we introduce the concept of Earth system data cubes and how to operate on them in a formal way.  ...  Bivariate relations in vector cubes The original idea of the data cube concept emerged from the need for working with large multivariate gridded data sets.  ... 
doi:10.5194/esd-11-201-2020 fatcat:zlkp5tg5f5gohcy3ytukej2qgu

Regression Cube

Yu-Hsuan Chan, Carlos D. Correa, Kwan-Liu Ma
2014 ACM transactions on interactive intelligent systems (TiiS)  
Regression cube: A technique for multidimensional visual exploration and interactive pattern finding.  ...  We also introduce a series of visual operations such as clustering, brushing, and selection supported in RC.  ...  ACKNOWLEDGMENTS This work was sponsored in part by the U.S. National Science Foundation through grants CCF-1025269, CCF-0811422, and IIS-1255237, and also by the U.S.  ... 
doi:10.1145/2590349 fatcat:woi36iawwrg2xmln64zabjt3fe

A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction [article]

Takanori Fujiwara, Shilpika, Naohisa Sakamoto, Jorji Nonaka, Keiji Yamamoto, Kwan-Liu Ma
2020 arXiv   pre-print
Data-driven problem solving in many real-world applications involves analysis of time-dependent multivariate data, for which dimensionality reduction (DR) methods are often used to uncover the intrinsic  ...  In this paper, we present MulTiDR, a new DR framework that enables processing of time-dependent multivariate data as a whole to provide a comprehensive overview of the data.  ...  ACKNOWLEDGMENTS This research is sponsored in part by the U.S. National Science Foundation through grant IIS-1741536 and U.S. Department of Energy through grant DE-SC0014917.  ... 
arXiv:2008.01645v2 fatcat:ajtjb3uobbhuhitvlka4dgsaiu

Contextualized Analysis of Movement Events

Siming Chen, Gennady Andrienko, Natalia Andrienko, Christos Doulkeridis, Athanasios Koumparos
2019 Eurographics Conference on Visualization  
The approach involves clustering of events based on the similarity of their contexts and interactive visual techniques for exploration of the distribution of the clusters in time, geographic space, and  ...  To explore events in context, we propose an analytical workflow including event contextualization, context pattern detection, and exploration of the spatio-temporal distribution of the detected patterns  ...  The most common visualization techniques for movement data are maps, timelines, and spacetime cube [Kra03] .  ... 
doi:10.2312/eurova.20191124 dblp:conf/vissym/ChenAADK19 fatcat:4uhpkhmjhvcujhy5r6h3pfcyt4

Macroprudential oversight, risk communication and visualization [article]

Peter Sarlin
2014 arXiv   pre-print
data cube.  ...  For visualizing the so-called macroprudential data cube, we provide the VisRisk platform with three modules: plots, maps and networks.  ...  While maps provide analytical means for representing the three standard dimensions of a data cube in simple formats, networks aim at visualization of the fourth data cube dimension of interlinkages.  ... 
arXiv:1404.4550v3 fatcat:abngdwgasze6hn5uenuplaku34
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