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Christophe Hurter
Researcher at École nationale de l'aviation civile
Publications - 164
Citations - 3263
Christophe Hurter is an academic researcher from École nationale de l'aviation civile. The author has contributed to research in topics: Visualization & Air traffic control. The author has an hindex of 27, co-authored 152 publications receiving 2665 citations. Previous affiliations of Christophe Hurter include École Normale Supérieure & Microsoft.
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Journal ArticleDOI
FromDaDy: Spreading Aircraft Trajectories Across Views to Support Iterative Queries
TL;DR: FromDaDy is designed, a trajectory visualization tool that tackles the difficulties of exploring the visualization of multiple trails and supports iterative queries and the extraction of trajectories in a dataset that contains up to 5 million data.
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Skeleton-Based Edge Bundling for Graph Visualization
TL;DR: A novel approach that combines edge clustering, distance fields, and 2D skeletonization to construct progressively bundled layouts for general graphs by iteratively attracting edges towards the centerlines of level sets of their distance fields.
Journal ArticleDOI
Graph Bundling by Kernel Density Estimation
TL;DR: This work presents a fast and simple method to compute bundled layouts of general graphs using an image sharpening technique and produces graph bundlings of similar appearance and quality to state‐of‐the‐art methods at a fraction of the cost.
Proceedings ArticleDOI
A Review of Temporal Data Visualizations Based on Space-Time Cube Operations
TL;DR: The model captures most visualizations showing two or more data dimensions in addition to time, such as geotemporal visualizations, dynamic networks, time-evolving scatterplots, or videos, and review interactive systems that support a range of operations.
Journal ArticleDOI
A Descriptive Framework for Temporal Data Visualizations Based on Generalized Space-Time Cubes
TL;DR: A characterization of structures within space‐time cubes is proposed, which allows for the description, criticism and comparison of temporal data visualizations, and to encourage the exploration of new techniques and systems.