Results 211 to 220 of about 9,993 (290)

A Simple Grid‐Maps Pipeline: Restructured, Accelerated and Upgraded

open access: yesComputer Graphics Forum, EarlyView.
Abstract Grid maps – spatially arranged small multiples – are a powerful tool to show complex geospatial data. Meulemans et al. (2020) introduced a pipeline for computing high‐quality grid maps that are shaped roughly according to their containing geographic outlines.
W. Meulemans
wiley   +1 more source

CLusterix: A Hybrid Visualization Model for Hierarchically Clustered Networks

open access: yesComputer Graphics Forum, EarlyView.
Abstract We introduce Clusterix, a novel hybrid visualization model for representing hierarchically clustered networks, which also supports directed and weighted edges. Clusterix offers an integrated view of both the network and its full cluster hierarchy by compactly visualizing the cluster inclusion tree enriched with links of the network.
Carla Binucci   +6 more
wiley   +1 more source

Evaluating Encodings for Bivariate Edges in Adjacency Matrices

open access: yesComputer Graphics Forum, EarlyView.
Abstract We present the first empirical evaluation of techniques for encoding distributions of quantitative edge values within adjacency matrices. In many real‐world networks, edges represent not a single value but a set of measurements. While adjacency matrices preserve structural clarity, their compact cells limit the simultaneous display of multiple
J. Acosta‐Hernández, A. Lex, T. He
wiley   +1 more source

Investigating Performance and Practices with Univariate Distribution Charts

open access: yesComputer Graphics Forum, EarlyView.
Abstract A range of charts with different strengths and weaknesses exists to support the visual analysis of univariate distributions, with a limited understanding of which charts best support which tasks and users, and how practitioners use charts. We categorize the available charts for univariate distributions into four groups and present the results ...
L. Lotteraner   +3 more
wiley   +1 more source

Visual Identification and Comparison of Higher Order Properties in State Transition Sequences

open access: yesComputer Graphics Forum, EarlyView.
Abstract The analysis of state transition sequences is a prevalent research topic in many domains. In this context, we introduce the term higher‐order property to describe characteristics of the analyzed data set that span beyond the local neighborhood of a single state.
T. Mertz, S. L. Reynolds, J. Kohlhammer
wiley   +1 more source

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