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Abstract
Despite a list of national and international efforts to harmonise data
management procedures, the categorisation of space and time within datasets in
marine spatial planning (MSP) has not been addressed so far. This paper proposes a conceptual framework to categorise the spatial and temporal dimensions of data used in MSP and introduces a method to jointly manage non-spatial information and spatial data in the same geographic information system (GIS). The presented categorisation provides easy and intuitive classifications for a more detailed and transparent data description of spatial and temporal data properties, which can be applied both in attribute tables and in metadata. It allows the differentiation of the vertical and the horizontal dimensions, enabling users to focus on operations taking place at specific parts of the marine environment. The categorisation with predefined attribute domains allows space and time based automatic analyses. The inclusion of non-spatial data within GIS repositories ensures the availability of all relevant data in one database minimising the risk of incomplete data. Overall, the framework provides effective steps towards a more coherent data management and subsequently may foster better use of information in MSP processes.
management procedures, the categorisation of space and time within datasets in
marine spatial planning (MSP) has not been addressed so far. This paper proposes a conceptual framework to categorise the spatial and temporal dimensions of data used in MSP and introduces a method to jointly manage non-spatial information and spatial data in the same geographic information system (GIS). The presented categorisation provides easy and intuitive classifications for a more detailed and transparent data description of spatial and temporal data properties, which can be applied both in attribute tables and in metadata. It allows the differentiation of the vertical and the horizontal dimensions, enabling users to focus on operations taking place at specific parts of the marine environment. The categorisation with predefined attribute domains allows space and time based automatic analyses. The inclusion of non-spatial data within GIS repositories ensures the availability of all relevant data in one database minimising the risk of incomplete data. Overall, the framework provides effective steps towards a more coherent data management and subsequently may foster better use of information in MSP processes.
Original language | English |
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Journal | International Journal of Spatial Data Infrastructures Research |
Volume | 14 |
Pages (from-to) | 108-132 |
Number of pages | 25 |
ISSN | 1725-0463 |
DOIs | |
Publication status | Published - Dec 2019 |
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Dive into the research topics of 'Lost in space and time? A conceptual approach to harmonise data for marine spatial planning'. Together they form a unique fingerprint.Projects
- 1 Finished
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BONUS BASMATI: Baltic Sea Maritime Spatial Planning for Sustainable Ecosystem Services
Hansen, H. S. (PI), Schrøder, L. (Project Participant) & Bonnevie, I. M. (Project Participant)
01/07/2017 → 30/06/2020
Project: Research