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Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.

Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.

Basisinformatie over ‘Open Access to scholarly information'.

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one publication added to basket [226259]
Spatial data management priorities for assessment of Europe’s coasts and seas Meiner, A. (2013). Spatial data management priorities for assessment of Europe’s coasts and seas. J. Coast. Conserv. 17(2): 271-277. http://dx.doi.org/10.1007/s11852-011-0173-0 In: Journal of Coastal Conservation. Opulus/Springer: Uppsala. ISSN 1400-0350; e-ISSN 1874-7841, meer

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Beschikbaar in	Auteur
VLIZ: Non-open access 247685 [ aanvragen ]

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Trefwoorden

Data sharing Seas Socioeconomic organization > Concentration of production > Integration Spatial data Techniques > Estimation > Assessment Topographic features > Landforms > Coasts Marien/Kust

Author keywords

Spatial data; Assessment; Data sharing; Integration; Coast; Sea

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Auteur		Top
Meiner, A., meer

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Abstract

Systemic understanding of marine and coastal environment needs data integration following a respective concept e.g. multi-dimensional and functional mapping. A number of new activities will improve data supply for coasts and seas. This data needs to be integrated and combined with socio-economic drivers and resulting pressures. Resulting knowledge base should be able to inform effectively ecosystem-based management actions, such as integrated coastal zone management, maritime spatial planning, extension of Natura 2000 areas or climate change adaptation in coastal regions and maritime sectors. Assessment that aims to inform such processes will require rethinking of priorities for spatial data collection and analysis, in particular building on data sharing and standardization, improved spatial data integration, promoting interoperability of relevant information systems and possibility of assimilating different data types in to models. Different aspects of spatial data should be addressed in coherent implementation of spatial data infrastructure.

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