Coastal risk adaptation: the potential role of accessible geospatial Big Data
| dc.contributor.author | Rumson, Alexander G. | |
| dc.contributor.author | Hallett, Stephen H. | |
| dc.contributor.author | Brewer, Timothy R. | |
| dc.date.accessioned | 2017-06-15T10:54:40Z | |
| dc.date.available | 2017-06-15T10:54:40Z | |
| dc.date.issued | 2017-06-03 | |
| dc.description.abstract | Increasing numbers of people are living in and using coastal areas. Combined with the presence of pervasive coastal threats, such as flooding and erosion, this is having widespread impacts on coastal populations, infrastructure and ecosystems. For the right adaptive strategies to be adopted, and planning decisions to be made, rigorous evaluation of the available options is required. This evaluation hinges on the availability and use of suitable datasets. For knowledge to be derived from coastal datasets, such data needs to be combined and analysed in an effective manner. This paper reviews a wide range of literature relating to data-driven approaches to coastal risk evaluation, revealing how limitations have been imposed on many of these methods, due to restrictions in computing power and access to data. The rapidly emerging field of ‘Big Data’ can help overcome many of these hurdles. ‘Big Data’ involves powerful computer infrastructures, enabling storage, processing and real-time analysis of large volumes and varieties of data, in a fast and reliable manner. Through consideration of examples of how ‘Big Data’ technologies are being applied to fields related to coastal risk, it becomes apparent that geospatial Big Data solutions hold clear potential to improve the process of risk based decision making on the coast. ‘Big Data’ does not provide a stand-alone solution to the issues and gaps outlined in this paper, yet these technological methods hold the potential to optimise data-driven approaches, enabling robust risk profiles to be generated for coastal regions. | en_UK |
| dc.identifier.citation | Alexander G. Rumson, Stephen H. Hallett, Timothy R. Brewer, Coastal risk adaptation: the potential role of accessible geospatial Big Data, Marine Policy, Volume 83, September 2017, Pages 100-110 | en_UK |
| dc.identifier.issn | 0308-597X | |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.marpol.2017.05.032 | |
| dc.identifier.uri | http://dspace.lib.cranfield.ac.uk/handle/1826/12028 | |
| dc.language.iso | en | en_UK |
| dc.publisher | Elsevier | en_UK |
| dc.rights | Attribution 4.0 International (CC BY 4.0) You are free to: Share — copy and redistribute the material in any medium or format, Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. | |
| dc.subject | Big Data | en_UK |
| dc.subject | Environmental risk | en_UK |
| dc.subject | Coastal management | en_UK |
| dc.subject | Geospatial data | en_UK |
| dc.title | Coastal risk adaptation: the potential role of accessible geospatial Big Data | en_UK |
| dc.type | Article | en_UK |