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A Visual Analytics Framework for Renewable Energy Profiling and Resource Planning
(The Eurographics Association, 2023)
Renewable energy growth is one of the focus areas globally against the backdrop of the global energy crisis and climate change. Energy planners are looking into clean, safe, affordable, and reliable energy generation sources ...
ShaRP: Shape-Regularized Multidimensional Projections
(The Eurographics Association, 2023)
Projections, or dimensionality reduction methods, are techniques of choice for the visual exploration of high-dimensional data. Many such techniques exist, each one of them having a distinct visual signature - i.e., a ...
EuroVa 2023: Frontmatter
(The Eurographics Association, 2023)
A Practical Approach to Provenance Capturing for Reproducible Visual Analytics at an Ocean Research Institute
(The Eurographics Association, 2023)
Reproducibility - and the lack thereof - has been an important topic for some time in the field of Human-Computer Interaction. Visual analytics workflows and in extension immersive analytics workflows are no exception there ...
Multi-Ensemble Visual Analytics via Fuzzy Sets
(The Eurographics Association, 2023)
Analysis of ensemble datasets, i.e., collections of complex elements such as geochemical maps, is widespread in science and industry. The elements' complexity arises from the data they capture, which are often multivariate ...
A Methodology for Task-Driven Guidance Design
(The Eurographics Association, 2023)
Mixed-initiative Visual Analytics (VA) systems are becoming increasingly important; however, the design of such systems still needs to be formulated. We present a methodology to aid and structure the design of guidance for ...
Nonparametric Dimensionality Reduction Quality Assessment based on Sortedness of Unrestricted Neighborhood
(The Eurographics Association, 2023)
High-dimensional data are known to be challenging to explore visually. Dimensionality Reduction (DR) techniques are good options for making high-dimensional data sets more interpretable and computationally tractable. An ...
Scaling Up the Explanation of Multidimensional Projections
(The Eurographics Association, 2023)
We present a set of interactive visual analysis techniques aiming at explaining data patterns in multidimensional projections. Our novel techniques include a global value-based encoding that highlights point groups having ...
Extracting Movement-based Topics for Analysis of Space Use
(The Eurographics Association, 2023)
We present a novel approach to analyze spatio-temporal movement patterns using topic modeling. Our approach represents trajectories as sequences of place visits and moves, applies topic modeling separately to each collection ...
Human-Based and Automatic Feature Ideation for Time Series Data: A Comparative Study
(The Eurographics Association, 2023)
Feature ideation is a crucial early step in the feature extraction process, where new features are extracted from raw data. For phenomena existing in time series data, this often includes the ideation of statistical ...