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Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps.

, , , and . WSCG, page 213-220. (2004)

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An automated approach for the optimization of pixel-based visualizations., , and . Information Visualization, 6 (1): 75-88 (2007)Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps., , , and . WSCG, page 213-220. (2004)Pixel-based visual data mining in large geo-spatial point sets.. University of Konstanz, (2006)Understanding a Sequence of Sequences: Visual Exploration of Categorical States in Lake Sediment Cores., , , and . IEEE Trans. Vis. Comput. Graph., 24 (1): 66-76 (2018)Perceptually Driven Visibility Optimization for Categorical Data Visualization., , and . IEEE Trans. Vis. Comput. Graph., 19 (10): 1746-1757 (2013)Supporting Display Scalability by Redundant Mapping., , , and . ISVC (1), volume 6938 of Lecture Notes in Computer Science, page 472-483. Springer, (2011)Massively Parallel Analysis of Similarity Matrices on Heterogeneous Hardware., , , and . EDBT/ICDT Workshops, volume 1330 of CEUR Workshop Proceedings, page 56-62. CEUR-WS.org, (2015)Highlighting space-time patterns: Effective visual encodings for interactive decision-making., , and . International Journal of Geographical Information Science, 21 (8): 879-893 (2007)Visual Analytics for Correlation-Based Comparison of Time Series Ensembles., , , , , and . Comput. Graph. Forum, 34 (3): 411-420 (2015)Analyzing Large Collections of Email., , , and . IKE, page 275-281. CSREA Press, (2004)