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The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning- Damon
The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning- Damon
The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning- Damon
The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning- Damon
The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning- Damon
The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning- Damon
The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning- Damon
The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning- Damon
The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning- Damon
The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning- Damon
The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning- Damon
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The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning- Damon

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The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning presented May 24, 2011 at The Workshop to Learn Ocean Planning Tools and Techniques

The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning presented May 24, 2011 at The Workshop to Learn Ocean Planning Tools and Techniques

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  • 1. The Rhode Island Ocean SAMP: Developing an Integrated Geospatial Framework to Support Marine Spatial Planning Christopher Damon, Eivy Monroy, Kevin Ruddock, Charles LaBash, and Peter August Environmental Data Center, University of Rhode Island
  • 2. Research Topics: Wind ResourcesWind Resources Marine Mammals and BirdsMarine Mammals and Birds Fisheries AbundanceFisheries Abundance Physical OceanographyPhysical Oceanography Ecosystem InteractionsEcosystem Interactions Sediments and Benthic HabitatSediments and Benthic Habitat Cultural ResourcesCultural Resources Acoustics and ElectromagneticsAcoustics and Electromagnetics MeteorologyMeteorology EngineeringEngineering Ecological ValuationEcological Valuation Wind ResourcesWind Resources Marine Mammals and BirdsMarine Mammals and Birds Fisheries AbundanceFisheries Abundance Physical OceanographyPhysical Oceanography Ecosystem InteractionsEcosystem Interactions Sediments and Benthic HabitatSediments and Benthic Habitat Cultural ResourcesCultural Resources Acoustics and ElectromagneticsAcoustics and Electromagnetics MeteorologyMeteorology EngineeringEngineering Ecological ValuationEcological Valuation
  • 3. Data Access Model:
  • 4. Data Assimilation:
  • 5. Centralized Storage and Analysis:
  • 6. Web Presence:
  • 7. GIS Instruction and Licensing: 3 Day intro to ArcGIS3 Day intro to ArcGIS – Certified esri instructorsCertified esri instructors Open to any project folksOpen to any project folks – Participants received esri certificateParticipants received esri certificate 1 yr. ArcGIS Licensing1 yr. ArcGIS Licensing 3 Day intro to ArcGIS3 Day intro to ArcGIS – Certified esri instructorsCertified esri instructors Open to any project folksOpen to any project folks – Participants received esri certificateParticipants received esri certificate 1 yr. ArcGIS Licensing1 yr. ArcGIS Licensing
  • 8. Lessons Learned: Data OrganizationData Organization – Centralized storage is easyCentralized storage is easy – Multiple versions get complicatedMultiple versions get complicated – Everybody working from same infoEverybody working from same info – Researchers use most efficient softwareResearchers use most efficient software and provide resultsand provide results Data OrganizationData Organization – Centralized storage is easyCentralized storage is easy – Multiple versions get complicatedMultiple versions get complicated – Everybody working from same infoEverybody working from same info – Researchers use most efficient softwareResearchers use most efficient software and provide resultsand provide results ModelingModeling – Didn’t capitalize on GIS ModelingDidn’t capitalize on GIS Modeling CapabilitiesCapabilities ModelingModeling – Didn’t capitalize on GIS ModelingDidn’t capitalize on GIS Modeling CapabilitiesCapabilities
  • 9. Maps and MappingMaps and Mapping – GIS played larger role than expectedGIS played larger role than expected • Survey planning, data development, stakeholderSurvey planning, data development, stakeholder meetings, etc.meetings, etc. – No such thing as a simple map!No such thing as a simple map! • Data only ~10% of mapData only ~10% of map – Maps reproducibleMaps reproducible – Templates received little useTemplates received little use Maps and MappingMaps and Mapping – GIS played larger role than expectedGIS played larger role than expected • Survey planning, data development, stakeholderSurvey planning, data development, stakeholder meetings, etc.meetings, etc. – No such thing as a simple map!No such thing as a simple map! • Data only ~10% of mapData only ~10% of map – Maps reproducibleMaps reproducible – Templates received little useTemplates received little use Data Standards and MetadataData Standards and Metadata – Good internal exercise, but nobody readGood internal exercise, but nobody read – Everybody hates metadataEverybody hates metadata – Difficult creation for non-gis folksDifficult creation for non-gis folks • Easier for us to complete with inputEasier for us to complete with input Data Standards and MetadataData Standards and Metadata – Good internal exercise, but nobody readGood internal exercise, but nobody read – Everybody hates metadataEverybody hates metadata – Difficult creation for non-gis folksDifficult creation for non-gis folks • Easier for us to complete with inputEasier for us to complete with input Lessons Learned (cont.):
  • 10. Web ViewerWeb Viewer – Worth the Effort???Worth the Effort??? – Technology changes over 2 yr. projectTechnology changes over 2 yr. project – Better choices available nowBetter choices available now Web ViewerWeb Viewer – Worth the Effort???Worth the Effort??? – Technology changes over 2 yr. projectTechnology changes over 2 yr. project – Better choices available nowBetter choices available now Data and Map DownloadsData and Map Downloads – Internet access efficient but limitedInternet access efficient but limited during projectduring project • releasing maps or data before “final” isreleasing maps or data before “final” is recipe for disasterrecipe for disaster Data and Map DownloadsData and Map Downloads – Internet access efficient but limitedInternet access efficient but limited during projectduring project • releasing maps or data before “final” isreleasing maps or data before “final” is recipe for disasterrecipe for disaster Lessons Learned (cont.):
  • 11. Resources: RI OceanSAMP WebsiteRI OceanSAMP Website http://seagrant.gso.uri.edu/oceansamphttp://seagrant.gso.uri.edu/oceansamp Maps and Data:Maps and Data: http://www.narrbay.org/d_projects/OceanSAMP/ RI OceanSAMP WebsiteRI OceanSAMP Website http://seagrant.gso.uri.edu/oceansamphttp://seagrant.gso.uri.edu/oceansamp Maps and Data:Maps and Data: http://www.narrbay.org/d_projects/OceanSAMP/ Note: The OceanSAMP effort was a 2-year project to characterize Rhode Island’s coastal waters, requiring the collaboration of more than 100 researchers and policy experts. This presentation is designed to provide an overview of one small piece of this work. Interested parties are encouraged to visit the OceanSAMP website for much more detailed information about project research and outcomes.

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