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Multivariate cube integrated retinal variable to visually represent multivariable data
2017
EAI Endorsed Transactions on Context-aware Systems and Applications
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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)
2006
IEEE Transactions on Visualization and Computer Graphics
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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
2007
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems - GIS '07
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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
2018
ISPRS International Journal of Geo-Information
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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]
2012
Eurographics Conference on Visualization
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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]
2009
Eurographics State of the Art Reports
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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
2014
ACM transactions on interactive intelligent systems (TiiS)
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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
2019
Eurographics Conference on Visualization
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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
2021
Visual Informatics
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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
2016
Journal of Financial Stability
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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
2020
Earth System Dynamics
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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
2014
ACM transactions on interactive intelligent systems (TiiS)
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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]
2020
arXiv
pre-print
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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
2019
Eurographics Conference on Visualization
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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]
2014
arXiv
pre-print
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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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