Storage, Analysis and Visualisation of Spatial Data: A Workflow to Support Marine Spatial Planning in Rockall
| Main Authors: | Stirling, David, Neat, Francis, Gubbins, Matt |
|---|---|
| Format: | info Proceeding eJournal |
| Bahasa: | eng |
| Terbitan: |
, 2018
|
| Online Access: |
https://zenodo.org/record/1252792 |
| ctrlnum |
1252792 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Stirling, David</creator><creator>Neat, Francis</creator><creator>Gubbins, Matt</creator><date>2018-05-25</date><description>ATLAS work package 3 presentation at ATLAS 3rd General Assembly
Effective Marine Spatial Planning (MSP) relies heavily on the collation of spatial data from a wide range of sources. Here we present a suite of open-source, synergistic software that can be used in an efficient workflow to store, analyse and visualise spatial data.
For data storage we use PostgreSQL and PostGIS. PostgreSQL is a powerful object relational database system that has cross-platform support. It is extensible, with the PostGIS extension allowing it to store spatial data. For data visualisation and analysis we use R and QGIS. The R statistical programming language can be extended to be compatible with PostgreSQL / PostGIS. QGIS, a desktop GIS application, is similarly used in visualisation due to its intuitive interface and native support for PostgreSQL / PostGIS.
Using the Rockall case study as an example we demonstrate the use of these software and their interactions in a workflow that can be used to support MSP efforts.</description><identifier>https://zenodo.org/record/1252792</identifier><identifier>10.5281/zenodo.1252792</identifier><identifier>oai:zenodo.org:1252792</identifier><language>eng</language><relation>info:eu-repo/grantAgreement/EC/H2020/678760/</relation><relation>doi:10.5281/zenodo.1252791</relation><relation>url:https://zenodo.org/communities/atlas</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><title>Storage, Analysis and Visualisation of Spatial Data: A Workflow to Support Marine Spatial Planning in Rockall</title><type>Other:info:eu-repo/semantics/lecture</type><type>Journal:Proceeding</type><recordID>1252792</recordID></dc>
|
| language |
eng |
| format |
Other:info:eu-repo/semantics/lecture Other Journal:Proceeding Journal Journal:eJournal |
| author |
Stirling, David Neat, Francis Gubbins, Matt |
| title |
Storage, Analysis and Visualisation of Spatial Data: A Workflow to Support Marine Spatial Planning in Rockall |
| publishDate |
2018 |
| url |
https://zenodo.org/record/1252792 |
| contents |
ATLAS work package 3 presentation at ATLAS 3rd General Assembly
Effective Marine Spatial Planning (MSP) relies heavily on the collation of spatial data from a wide range of sources. Here we present a suite of open-source, synergistic software that can be used in an efficient workflow to store, analyse and visualise spatial data.
For data storage we use PostgreSQL and PostGIS. PostgreSQL is a powerful object relational database system that has cross-platform support. It is extensible, with the PostGIS extension allowing it to store spatial data. For data visualisation and analysis we use R and QGIS. The R statistical programming language can be extended to be compatible with PostgreSQL / PostGIS. QGIS, a desktop GIS application, is similarly used in visualisation due to its intuitive interface and native support for PostgreSQL / PostGIS.
Using the Rockall case study as an example we demonstrate the use of these software and their interactions in a workflow that can be used to support MSP efforts. |
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Universitas PGRI Palembang |
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Perpustakaan Universitas PGRI Palembang |
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Marga Life in South Sumatra in the Past: Puyang Concept Sacrificed and Demythosized |
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KOTA PALEMBANG |
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SUMATERA SELATAN |
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