Academic Journal
oceandatr: An R Package to Acquire and Process Geospatial Ocean Data.
| Τίτλος: | oceandatr: An R Package to Acquire and Process Geospatial Ocean Data. |
|---|---|
| Συγγραφείς: | Flower, Jason, Burns, Echelle S., Dunn, Daniel C., Estep, Andy, Everett, Jason D., Hanson, Jeffrey O., Lester, Sarah E., Richardson, Anthony J. |
| Πηγή: | Ecology & Evolution (20457758); Aug2026, Vol. 16 Issue 8, p1-13, 13p |
| Θεματικοί όροι: | Oceanography, Acquisition of data, Ocean zoning, Geographic spatial analysis, Environmental sciences |
| Περίληψη: | Maps and spatial models inform natural resource management and policy decisions. However, the geospatial data needed for these decisions are often scattered across websites and services, and typically require technical skills to download, process and analyze. The R programming language is widely used in environmental science, and while there are some R packages available for obtaining terrestrial geospatial data, those for marine data are limited to specific datasets. To fill this gap, we introduce the oceandatr R package, an interface that provides streamlined access to a suite of global ocean data. It provides functions for acquiring and processing many data sources—including bathymetry, geomorphology, ecological, and human use data—and returns these in several grid‐based formats. The gridded output data can be used directly in modeling, spatial analysis and spatial planning. While oceandatr accesses marine data, the functions for retrieving boundaries and gridding data can also be used in other contexts. We outline uses of oceandatr and present two case studies where we use oceandatr to access and process data for a spatial planning application and a spatial model of fishing effort. Oceandatr simplifies the process of geospatial analysis for marine researchers and spatial planners, reducing technical barriers and supporting evidence‐based decision making. [ABSTRACT FROM AUTHOR] |
| Copyright of Ecology & Evolution (20457758) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: oceandatr: An R Package to Acquire and Process Geospatial Ocean Data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Flower%2C+Jason%22">Flower, Jason</searchLink><br /><searchLink fieldCode="AR" term="%22Burns%2C+Echelle+S%2E%22">Burns, Echelle S.</searchLink><br /><searchLink fieldCode="AR" term="%22Dunn%2C+Daniel+C%2E%22">Dunn, Daniel C.</searchLink><br /><searchLink fieldCode="AR" term="%22Estep%2C+Andy%22">Estep, Andy</searchLink><br /><searchLink fieldCode="AR" term="%22Everett%2C+Jason+D%2E%22">Everett, Jason D.</searchLink><br /><searchLink fieldCode="AR" term="%22Hanson%2C+Jeffrey+O%2E%22">Hanson, Jeffrey O.</searchLink><br /><searchLink fieldCode="AR" term="%22Lester%2C+Sarah+E%2E%22">Lester, Sarah E.</searchLink><br /><searchLink fieldCode="AR" term="%22Richardson%2C+Anthony+J%2E%22">Richardson, Anthony J.</searchLink> – Name: TitleSource Label: Source Group: Src Data: Ecology & Evolution (20457758); Aug2026, Vol. 16 Issue 8, p1-13, 13p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Oceanography%22">Oceanography</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22Ocean+zoning%22">Ocean zoning</searchLink><br /><searchLink fieldCode="DE" term="%22Geographic+spatial+analysis%22">Geographic spatial analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+sciences%22">Environmental sciences</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Maps and spatial models inform natural resource management and policy decisions. However, the geospatial data needed for these decisions are often scattered across websites and services, and typically require technical skills to download, process and analyze. The R programming language is widely used in environmental science, and while there are some R packages available for obtaining terrestrial geospatial data, those for marine data are limited to specific datasets. To fill this gap, we introduce the oceandatr R package, an interface that provides streamlined access to a suite of global ocean data. It provides functions for acquiring and processing many data sources—including bathymetry, geomorphology, ecological, and human use data—and returns these in several grid‐based formats. The gridded output data can be used directly in modeling, spatial analysis and spatial planning. While oceandatr accesses marine data, the functions for retrieving boundaries and gridding data can also be used in other contexts. We outline uses of oceandatr and present two case studies where we use oceandatr to access and process data for a spatial planning application and a spatial model of fishing effort. Oceandatr simplifies the process of geospatial analysis for marine researchers and spatial planners, reducing technical barriers and supporting evidence‐based decision making. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Ecology & Evolution (20457758) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/ece3.74211 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Subjects: – SubjectFull: Oceanography Type: general – SubjectFull: Acquisition of data Type: general – SubjectFull: Ocean zoning Type: general – SubjectFull: Geographic spatial analysis Type: general – SubjectFull: Environmental sciences Type: general Titles: – TitleFull: oceandatr: An R Package to Acquire and Process Geospatial Ocean Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Flower, Jason – PersonEntity: Name: NameFull: Burns, Echelle S. – PersonEntity: Name: NameFull: Dunn, Daniel C. – PersonEntity: Name: NameFull: Estep, Andy – PersonEntity: Name: NameFull: Everett, Jason D. – PersonEntity: Name: NameFull: Hanson, Jeffrey O. – PersonEntity: Name: NameFull: Lester, Sarah E. – PersonEntity: Name: NameFull: Richardson, Anthony J. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 08 Text: Aug2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20457758 Numbering: – Type: volume Value: 16 – Type: issue Value: 8 Titles: – TitleFull: Ecology & Evolution (20457758) Type: main |
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