A New Global Coastal Database for Impact and Vulnerability Analysis to Sea-Level Rise

A.T. Vafeidis, R.J. Nicholls, L. McFadden, R.S.J. Tol, J. Hinkel, T. Spencer, P.S. Grashoff, G. Boot, R.J.T. Klein

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

A new global coastal database has been developed within the context of the DINAS-COAST project. The database covers the world's coasts, excluding Antarctica, and includes information on more than 80 physical, ecological, and socioeconomic parameters of the coastal zone. The database provides the base data for the Dynamic Interactive Vulnerability Assessment modelling tool that the DINAS-COAST project has produced. In order to comply with the requirements of the modelling tool, it is based on a data model in which all information is referenced to more than 12,000 linear coastal segments of variable length. For efficiency of data storage, six other geographic features (administrative units, countries, rivers, tidal basins or estuaries, world heritage sites, and climate grid cells) are used to reference some data, but all are linked to the linear segment structure. This fundamental linear data structure is unique for a global database and represents an efficient solution to the problem of representing and storing coastal data. The database has been specifically designed to support impact and vulnerability analysis to sea-level rise at a range of scales up to global. Due to the structure, consistency, user-friendliness, and wealth of information in the database, it has potential wider application to analysis and modelling of the world's coasts, especially at regional to global scales.
Original languageEnglish
Pages (from-to)917-924
JournalJournal of Coastal Research
Volume24
Issue number4
DOIs
Publication statusPublished - 2008

Fingerprint

vulnerability
modeling
World Heritage Site
coast
coastal zone
analysis
sea level rise
estuary
climate
basin
river
world
project

Cite this

Vafeidis, A. T., Nicholls, R. J., McFadden, L., Tol, R. S. J., Hinkel, J., Spencer, T., ... Klein, R. J. T. (2008). A New Global Coastal Database for Impact and Vulnerability Analysis to Sea-Level Rise. Journal of Coastal Research, 24(4), 917-924. https://doi.org/10.2112/06-0725.1
Vafeidis, A.T. ; Nicholls, R.J. ; McFadden, L. ; Tol, R.S.J. ; Hinkel, J. ; Spencer, T. ; Grashoff, P.S. ; Boot, G. ; Klein, R.J.T. / A New Global Coastal Database for Impact and Vulnerability Analysis to Sea-Level Rise. In: Journal of Coastal Research. 2008 ; Vol. 24, No. 4. pp. 917-924.
@article{d32446a713fd4ecfa322478d4255939c,
title = "A New Global Coastal Database for Impact and Vulnerability Analysis to Sea-Level Rise",
abstract = "A new global coastal database has been developed within the context of the DINAS-COAST project. The database covers the world's coasts, excluding Antarctica, and includes information on more than 80 physical, ecological, and socioeconomic parameters of the coastal zone. The database provides the base data for the Dynamic Interactive Vulnerability Assessment modelling tool that the DINAS-COAST project has produced. In order to comply with the requirements of the modelling tool, it is based on a data model in which all information is referenced to more than 12,000 linear coastal segments of variable length. For efficiency of data storage, six other geographic features (administrative units, countries, rivers, tidal basins or estuaries, world heritage sites, and climate grid cells) are used to reference some data, but all are linked to the linear segment structure. This fundamental linear data structure is unique for a global database and represents an efficient solution to the problem of representing and storing coastal data. The database has been specifically designed to support impact and vulnerability analysis to sea-level rise at a range of scales up to global. Due to the structure, consistency, user-friendliness, and wealth of information in the database, it has potential wider application to analysis and modelling of the world's coasts, especially at regional to global scales.",
author = "A.T. Vafeidis and R.J. Nicholls and L. McFadden and R.S.J. Tol and J. Hinkel and T. Spencer and P.S. Grashoff and G. Boot and R.J.T. Klein",
year = "2008",
doi = "10.2112/06-0725.1",
language = "English",
volume = "24",
pages = "917--924",
journal = "Journal of Coastal Research",
issn = "0749-0208",
publisher = "Coastal Education Research Foundation Inc.",
number = "4",

}

Vafeidis, AT, Nicholls, RJ, McFadden, L, Tol, RSJ, Hinkel, J, Spencer, T, Grashoff, PS, Boot, G & Klein, RJT 2008, 'A New Global Coastal Database for Impact and Vulnerability Analysis to Sea-Level Rise' Journal of Coastal Research, vol. 24, no. 4, pp. 917-924. https://doi.org/10.2112/06-0725.1

A New Global Coastal Database for Impact and Vulnerability Analysis to Sea-Level Rise. / Vafeidis, A.T.; Nicholls, R.J.; McFadden, L.; Tol, R.S.J.; Hinkel, J.; Spencer, T.; Grashoff, P.S.; Boot, G.; Klein, R.J.T.

In: Journal of Coastal Research, Vol. 24, No. 4, 2008, p. 917-924.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - A New Global Coastal Database for Impact and Vulnerability Analysis to Sea-Level Rise

AU - Vafeidis, A.T.

AU - Nicholls, R.J.

AU - McFadden, L.

AU - Tol, R.S.J.

AU - Hinkel, J.

AU - Spencer, T.

AU - Grashoff, P.S.

AU - Boot, G.

AU - Klein, R.J.T.

PY - 2008

Y1 - 2008

N2 - A new global coastal database has been developed within the context of the DINAS-COAST project. The database covers the world's coasts, excluding Antarctica, and includes information on more than 80 physical, ecological, and socioeconomic parameters of the coastal zone. The database provides the base data for the Dynamic Interactive Vulnerability Assessment modelling tool that the DINAS-COAST project has produced. In order to comply with the requirements of the modelling tool, it is based on a data model in which all information is referenced to more than 12,000 linear coastal segments of variable length. For efficiency of data storage, six other geographic features (administrative units, countries, rivers, tidal basins or estuaries, world heritage sites, and climate grid cells) are used to reference some data, but all are linked to the linear segment structure. This fundamental linear data structure is unique for a global database and represents an efficient solution to the problem of representing and storing coastal data. The database has been specifically designed to support impact and vulnerability analysis to sea-level rise at a range of scales up to global. Due to the structure, consistency, user-friendliness, and wealth of information in the database, it has potential wider application to analysis and modelling of the world's coasts, especially at regional to global scales.

AB - A new global coastal database has been developed within the context of the DINAS-COAST project. The database covers the world's coasts, excluding Antarctica, and includes information on more than 80 physical, ecological, and socioeconomic parameters of the coastal zone. The database provides the base data for the Dynamic Interactive Vulnerability Assessment modelling tool that the DINAS-COAST project has produced. In order to comply with the requirements of the modelling tool, it is based on a data model in which all information is referenced to more than 12,000 linear coastal segments of variable length. For efficiency of data storage, six other geographic features (administrative units, countries, rivers, tidal basins or estuaries, world heritage sites, and climate grid cells) are used to reference some data, but all are linked to the linear segment structure. This fundamental linear data structure is unique for a global database and represents an efficient solution to the problem of representing and storing coastal data. The database has been specifically designed to support impact and vulnerability analysis to sea-level rise at a range of scales up to global. Due to the structure, consistency, user-friendliness, and wealth of information in the database, it has potential wider application to analysis and modelling of the world's coasts, especially at regional to global scales.

U2 - 10.2112/06-0725.1

DO - 10.2112/06-0725.1

M3 - Article

VL - 24

SP - 917

EP - 924

JO - Journal of Coastal Research

JF - Journal of Coastal Research

SN - 0749-0208

IS - 4

ER -