DeepSee: Multidimensional Visualizations of Seabed Ecosystems-Reference-Cited by-同舟云学术

DeepSee: Multidimensional Visualizations of Seabed Ecosystems

Published:2024-05-11 Issue: Volume: Page:1-16
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
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Author:

Coscia Adam¹^ORCID,Sapers Haley M.²^ORCID,Deutsch Noah³^ORCID,Khurana Malika⁴^ORCID,Magyar John S.²^ORCID,Parra Sergio A.²^ORCID,Utter Daniel R.²^ORCID,Wipfler Rebecca L.²^ORCID,Caress David W.⁵^ORCID,Martin Eric J.⁶^ORCID,Paduan Jennifer B.⁶^ORCID,Hendrie Maggie⁷^ORCID,Lombeyda Santiago⁸^ORCID,Mushkin Hillary⁹^ORCID,Endert Alex¹^ORCID,Davidoff Scott¹⁰^ORCID,Orphan Victoria J.²^ORCID

Affiliation:

1. Georgia Institute of Technology, United States

2. Division of Geological and Planetary Sciences, California Institute of Technology, United States

3. Harvard University, United States

4. The New York Times, United States

5. Research & Development, Monterey Bay Aquarium Research Insitute, United States

6. Research & Development, Monterey Bay Aquarium Research Institute, United States

7. Interaction Design, ArtCenter College of Design, United States

8. Center for Data-Driven Discovery, California Institute of Technology, United States

9. California Institute of Technology, United States

10. Jet Propulsion Laboratory, California Institute of Technology, United States

Funder

National Aeronautics and Space Administration

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642001

Reference48 articles.

1. The State of the Art in Visual Analysis Approaches for Ocean and Atmospheric Datasets

2. SeaVizKit: Interactive Maps for Ocean Visualization

3. Natalia Andrienko and Gennady Andrienko. 2006. Exploratory analysis of spatial and temporal data: a systematic approach. Springer Science & Business Media.

4. Exploratory spatio-temporal visualization: an analytical review

5. A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems’ Worldviews