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Ocean Sciences with the Spilhaus Projection: A Seamless Ocean Map for Spatial Data Recognition

The ocean, as a vast interconnected body of water on Earth, plays an essential role in Earth’s planetary dynamics, climate change, and the evolution of human society and decision-making processes. An ocean-focused global map is necessary to visually capture numerous phenomena within the world’s ocea...

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Autores principales: Chen, Jie, Zhang, Tao, Tominaga, Masako, Escartin, Javier, Kang, Ruixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290725/
https://www.ncbi.nlm.nih.gov/pubmed/37355727
http://dx.doi.org/10.1038/s41597-023-02309-6
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author Chen, Jie
Zhang, Tao
Tominaga, Masako
Escartin, Javier
Kang, Ruixin
author_facet Chen, Jie
Zhang, Tao
Tominaga, Masako
Escartin, Javier
Kang, Ruixin
author_sort Chen, Jie
collection PubMed
description The ocean, as a vast interconnected body of water on Earth, plays an essential role in Earth’s planetary dynamics, climate change, and the evolution of human society and decision-making processes. An ocean-focused global map is necessary to visually capture numerous phenomena within the world’s ocean and seafloor. Here we present the power of the Spilhaus square projection with various geological and geophysical datasets, including bathymetry, teleseismicity, seafloor geography, and seafloor spreading parameters. The Spilhaus projection, compared to widely-used map projections (e.g., Mercator and Robinson), emphasizes the seamless connection of water masses surrounded by continents. This projection has recently garnered attention for presenting ocean-oriented data, although it is not extensively used and currently supported by the ArcGIS software. Maps presented here provide not only a novel geological perspective on the world ocean as a whole body, but also new insights/questions to be addressed regarding features and processes of the water body, the seafloor, and ocean-atmosphere dynamics, which can be used for research, education, media, and policy decisions, and promote similar approaches.
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spelling pubmed-102907252023-06-26 Ocean Sciences with the Spilhaus Projection: A Seamless Ocean Map for Spatial Data Recognition Chen, Jie Zhang, Tao Tominaga, Masako Escartin, Javier Kang, Ruixin Sci Data Data Descriptor The ocean, as a vast interconnected body of water on Earth, plays an essential role in Earth’s planetary dynamics, climate change, and the evolution of human society and decision-making processes. An ocean-focused global map is necessary to visually capture numerous phenomena within the world’s ocean and seafloor. Here we present the power of the Spilhaus square projection with various geological and geophysical datasets, including bathymetry, teleseismicity, seafloor geography, and seafloor spreading parameters. The Spilhaus projection, compared to widely-used map projections (e.g., Mercator and Robinson), emphasizes the seamless connection of water masses surrounded by continents. This projection has recently garnered attention for presenting ocean-oriented data, although it is not extensively used and currently supported by the ArcGIS software. Maps presented here provide not only a novel geological perspective on the world ocean as a whole body, but also new insights/questions to be addressed regarding features and processes of the water body, the seafloor, and ocean-atmosphere dynamics, which can be used for research, education, media, and policy decisions, and promote similar approaches. Nature Publishing Group UK 2023-06-24 /pmc/articles/PMC10290725/ /pubmed/37355727 http://dx.doi.org/10.1038/s41597-023-02309-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Chen, Jie
Zhang, Tao
Tominaga, Masako
Escartin, Javier
Kang, Ruixin
Ocean Sciences with the Spilhaus Projection: A Seamless Ocean Map for Spatial Data Recognition
title Ocean Sciences with the Spilhaus Projection: A Seamless Ocean Map for Spatial Data Recognition
title_full Ocean Sciences with the Spilhaus Projection: A Seamless Ocean Map for Spatial Data Recognition
title_fullStr Ocean Sciences with the Spilhaus Projection: A Seamless Ocean Map for Spatial Data Recognition
title_full_unstemmed Ocean Sciences with the Spilhaus Projection: A Seamless Ocean Map for Spatial Data Recognition
title_short Ocean Sciences with the Spilhaus Projection: A Seamless Ocean Map for Spatial Data Recognition
title_sort ocean sciences with the spilhaus projection: a seamless ocean map for spatial data recognition
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290725/
https://www.ncbi.nlm.nih.gov/pubmed/37355727
http://dx.doi.org/10.1038/s41597-023-02309-6
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