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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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. |
format | Online Article Text |
id | pubmed-10290725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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