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The sampling lens: making sense of saturated visualisations

Published: 02 April 2005 Publication History

Abstract

Information visualisation systems frequently have to deal with large amounts of data and this often leads to saturated areas in the display with considerable overplotting. This paper introduces the Sampling Lens, a novel tool that utilises random sampling to reduce the clutter within a moveable region, thus allowing the user to uncover any potentially interesting patterns and trends in the data while still being able to view the sample in context. We demonstrate the versatility of the tool by adding sampling lenses to scatter and parallel co-ordinate visualisations. We also consider some implementation issues and present initial user evaluation results.

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Cited By

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  • (2024)Tailorable Sampling for Progressive Visual AnalyticsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.327808430:8(4809-4824)Online publication date: 1-Aug-2024
  • (2022)The Pattern is in the Details: An Evaluation of Interaction Techniques for Locating, Searching, and Contextualizing Details in Multivariate Matrix VisualizationsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517673(1-15)Online publication date: 29-Apr-2022
  • (2022)OVRlap: Perceiving Multiple Locations Simultaneously to Improve Interaction in VRProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501873(1-13)Online publication date: 29-Apr-2022
  • Show More Cited By

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cover image ACM Conferences
CHI EA '05: CHI '05 Extended Abstracts on Human Factors in Computing Systems
April 2005
1358 pages
ISBN:1595930027
DOI:10.1145/1056808
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 02 April 2005

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Author Tags

  1. clutter
  2. density reduction
  3. information visualisation
  4. lens
  5. overplotting
  6. random sampling
  7. sampling

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Cited By

View all
  • (2024)Tailorable Sampling for Progressive Visual AnalyticsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.327808430:8(4809-4824)Online publication date: 1-Aug-2024
  • (2022)The Pattern is in the Details: An Evaluation of Interaction Techniques for Locating, Searching, and Contextualizing Details in Multivariate Matrix VisualizationsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517673(1-15)Online publication date: 29-Apr-2022
  • (2022)OVRlap: Perceiving Multiple Locations Simultaneously to Improve Interaction in VRProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501873(1-13)Online publication date: 29-Apr-2022
  • (2022)Audio–visual annotation graphs for guiding lens-based scene explorationComputers and Graphics10.1016/j.cag.2022.05.003105:C(131-145)Online publication date: 1-Jun-2022
  • (2021)A novel approach for exploring annotated data with interactive lensesComputer Graphics Forum10.1111/cgf.1431540:3(387-398)Online publication date: 29-Jun-2021
  • (2021)Evaluation of Sampling Methods for ScatterplotsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.303043227:2(1720-1730)Online publication date: Feb-2021
  • (2021)Modeling the Influence of Visual Density on Cluster Perception in Scatterplots Using TopologyIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.303036527:2(1829-1839)Online publication date: Feb-2021
  • (2021)Context-Aware Visual Abstraction of Crowded Parallel CoordinatesNeurocomputing10.1016/j.neucom.2021.05.005459:C(23-34)Online publication date: 12-Oct-2021
  • (2020)Sunspot Plots: Model‐based Structure Enhancement for Dense Scatter PlotsComputer Graphics Forum10.1111/cgf.1400139:3(551-563)Online publication date: 18-Jul-2020
  • (2019)GeoGate: Correlating Geo-Temporal Datasets Using an Augmented Reality Space-Time Cube and Tangible Interactions2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)10.1109/VR.2019.8797812(210-219)Online publication date: Mar-2019
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