Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files ...
This study subdivides the Weddell Sea, Antarctica, into seafloor regions using multivariate statistical methods. These regions are categories used for comparing, contrasting and quantifying biogeochemical processes and biodiversity between ocean regions geographically but also regions under developm...
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Online Access: | https://dx.doi.org/10.1594/pangaea.856105 https://doi.pangaea.de/10.1594/PANGAEA.856105 |
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ftdatacite:10.1594/pangaea.856105 2024-03-31T07:48:49+00:00 Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files ... Jerosch, Kerstin Pehlke, Hendrik Weber, Lukas Teschke, Katharina Heidemann, Teresa Scharf, Frauke Katharina 2016 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.856105 https://doi.pangaea.de/10.1594/PANGAEA.856105 en eng PANGAEA Data access is restricted (moratorium, sensitive data, license constraints) Licensing unknown: Please contact principal investigator/authors to gain access and request licensing terms unknown File name File format File size Uniform resource locator/link to file Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 dataset Dataset Supplementary Dataset 2016 ftdatacite https://doi.org/10.1594/pangaea.856105 2024-03-04T13:35:39Z This study subdivides the Weddell Sea, Antarctica, into seafloor regions using multivariate statistical methods. These regions are categories used for comparing, contrasting and quantifying biogeochemical processes and biodiversity between ocean regions geographically but also regions under development within the scope of global change. The division obtained is characterized by the dominating components and interpreted in terms of ruling environmental conditions. The analysis uses 28 environmental variables for the sea surface, 25 variables for the seabed and 9 variables for the analysis between surface and bottom variables. The data were taken during the years 1983-2013. Some data were interpolated. The statistical errors of several interpolation methods (e.g. IDW, Indicator, Ordinary and Co-Kriging) with changing settings have been compared for the identification of the most reasonable method. The multivariate mathematical procedures used are regionalized classification via k means cluster analysis, ... : Supplement to: Jerosch, Kerstin; Pehlke, Hendrik; Weber, Lukas; Teschke, Katharina; Heidemann, Teresa; Scharf, Frauke Katharina (in prep.): Comparing the surface and the bottom of the Southern Ocean using multivariate cluster analysis: regional effects of environmental parameters. ... Dataset Antarc* Antarctic Antarctica Arctic Sea ice Southern Ocean Weddell Sea DataCite Metadata Store (German National Library of Science and Technology) Antarctic Arctic Southern Ocean Weddell Weddell Sea |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
File name File format File size Uniform resource locator/link to file Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 |
spellingShingle |
File name File format File size Uniform resource locator/link to file Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 Jerosch, Kerstin Pehlke, Hendrik Weber, Lukas Teschke, Katharina Heidemann, Teresa Scharf, Frauke Katharina Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files ... |
topic_facet |
File name File format File size Uniform resource locator/link to file Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 |
description |
This study subdivides the Weddell Sea, Antarctica, into seafloor regions using multivariate statistical methods. These regions are categories used for comparing, contrasting and quantifying biogeochemical processes and biodiversity between ocean regions geographically but also regions under development within the scope of global change. The division obtained is characterized by the dominating components and interpreted in terms of ruling environmental conditions. The analysis uses 28 environmental variables for the sea surface, 25 variables for the seabed and 9 variables for the analysis between surface and bottom variables. The data were taken during the years 1983-2013. Some data were interpolated. The statistical errors of several interpolation methods (e.g. IDW, Indicator, Ordinary and Co-Kriging) with changing settings have been compared for the identification of the most reasonable method. The multivariate mathematical procedures used are regionalized classification via k means cluster analysis, ... : Supplement to: Jerosch, Kerstin; Pehlke, Hendrik; Weber, Lukas; Teschke, Katharina; Heidemann, Teresa; Scharf, Frauke Katharina (in prep.): Comparing the surface and the bottom of the Southern Ocean using multivariate cluster analysis: regional effects of environmental parameters. ... |
format |
Dataset |
author |
Jerosch, Kerstin Pehlke, Hendrik Weber, Lukas Teschke, Katharina Heidemann, Teresa Scharf, Frauke Katharina |
author_facet |
Jerosch, Kerstin Pehlke, Hendrik Weber, Lukas Teschke, Katharina Heidemann, Teresa Scharf, Frauke Katharina |
author_sort |
Jerosch, Kerstin |
title |
Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files ... |
title_short |
Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files ... |
title_full |
Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files ... |
title_fullStr |
Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files ... |
title_full_unstemmed |
Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files ... |
title_sort |
sea surface and the sea floor regionalization of the southern ocean by multivariate cluster analysis, links to arcgis project files ... |
publisher |
PANGAEA |
publishDate |
2016 |
url |
https://dx.doi.org/10.1594/pangaea.856105 https://doi.pangaea.de/10.1594/PANGAEA.856105 |
geographic |
Antarctic Arctic Southern Ocean Weddell Weddell Sea |
geographic_facet |
Antarctic Arctic Southern Ocean Weddell Weddell Sea |
genre |
Antarc* Antarctic Antarctica Arctic Sea ice Southern Ocean Weddell Sea |
genre_facet |
Antarc* Antarctic Antarctica Arctic Sea ice Southern Ocean Weddell Sea |
op_rights |
Data access is restricted (moratorium, sensitive data, license constraints) Licensing unknown: Please contact principal investigator/authors to gain access and request licensing terms unknown |
op_doi |
https://doi.org/10.1594/pangaea.856105 |
_version_ |
1795035433571188736 |