Flow map layout
By Doantam Phan, Ling Xiao, Ron B. Yeh, P. Hanrahan, Terry Winograd. IEEE Symposium on Information Visualization, 2005. INFOVIS 2005., 2005
365 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Geography, Planning and Development, Signal Processing
View Paper: https://www.semanticscholar.org/paper/dc2ee6f90162ec35ef2b5ed876f0bb24137adcee
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Citations in the corpus
- A Nested Model for Visualization Design and Validation (2009, background): “propose a system for creating flow maps that show the movement of objects from one location to another, and demonstrate it on network traffic, census data, and trade data [32].”
- Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data (2006, methodology): “[22], the biggest drawback is that all edge splits are binary; binary splits introduce too many extra routing nodes and lead to clutter if there are too many nodes in a small area.”
- Visual analytics of movement: An overview of methods, tools and procedures (2013, neutral): “Approaches involving edge bundling [41][54][25] work well only for showing flows from one or two locations or in special cases, e.”
- Geometry-Based Edge Clustering for Graph Visualization (2008, methodology): “The same dataset has also been used in [18].”
- Spatial Generalization and Aggregation of Massive Movement Data (2011, neutral): “For this purpose, the trajectories are divided into segments.”
- An Uncertainty-Aware Approach for Exploratory Microblog Retrieval (2015, background): “3 Uncertainty Propagation as Flow Map The flow map [33, 44] is designed to visually analyze the movement of objects from one location to multiple locations.”
- Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips (2013, methodology): “be used, including, for example, representations that are specific for OD data [30, 38, 8].”