The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A New Global Coastal Database for Impact and Vulnerability Analysis to Sea-Level Rise
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The value of the world's ecosystem services and natural capital
Costanza, R., d'Arge, R., de Groot, R., Farber, S., Grasso, M., Hannon, B., Limburg, K., Naeem, S., O'Neill, R. V., Paruelo, J., et al. (1997) · Nature · doi:10.1038/387253a0 · Cited by 22,585
Cited by
Future flood losses in major coastal cities
Hallegatte, S., Green, C., Nicholls, R. J., & Corfee-Morlot, J. (2013) · Nature Climate Change · doi:10.1038/nclimate1979 · Cited by 2,503
Self-citationCoastal flood damage and adaptation costs under 21st century sea-level rise
Hinkel, J., Lincke, D., Vafeidis, A. T., Perrette, M., Nicholls, R. J., Tol, R. S. J., Marzeion, B., Fettweis, X., Ionescu, C., & Levermann, A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222469111 · Cited by 1,461
Self-citationComprehensive evidence implies a higher social cost of CO2
Rennert, K., Errickson, F., Prest, B. C., Rennels, L., Newell, R. G., Pizer, W., Kingdon, C., Wingenroth, J., Cooke, R., Parthum, B., et al. (2022) · Nature · doi:10.1038/s41586-022-05224-9 · Cited by 1,067
A global ranking of port cities with high exposure to climate extremes
Hanson, S., Nicholls, R., Ranger, N., Hallegatte, S., Corfee-Morlot, J., Herweijer, C., & Chateau, J. (2011) · Climatic Change · doi:10.1007/s10584-010-9977-4 · Cited by 760
Self-citationSea-level rise and its possible impacts given a ‘beyond 4°C world’ in the twenty-first century
Nicholls, R. J., Marinova, N., Lowe, J. A., Brown, S., Vellinga, P., de Gusmão, D., Hinkel, J., & Tol, R. S. J. (2011) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2010.0291 · Cited by 555
Self-citation
Metadata
- Authors
- 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.
- Venue
- Journal of Coastal Research
- Published
- 2008-07
- Volume
- 244
- Pages
- 917-924
- ISSN
- 0749-0208 (ISSN-L)
- 1551-5036
- OpenAlex
- W2001274483
- Cited by
- 311
- References
- 1
- FWCI
- 21.01
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A New Global Coastal Database for Impact and Vulnerability Analysis to Sea-Level Rise. https://app.cochat.ai/papers/10.2112/06-0725.1
- The paper
- 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. (2008). A New Global Coastal Database for Impact and Vulnerability Analysis to Sea-Level Rise. Journal of Coastal Research. https://doi.org/10.2112/06-0725.1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.