Evidence map›Paper›PMID 42498713›Full record

ArticleScientific data2026

Mapping the global distribution of coastal World Heritage Sites: Glo-CoH, a new Global Coastal Heritage dataset.

David Bescoby, Joanne Clarke, Chukwuma Okolie, Robert J Nicholls, Nicholas P Simpson, Athanasios T Vafeidis, Michalis Ioannis Vousdoukas

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

David BescobySchool of Environmental Sciences, University of East Anglia, Norwich, UK.
Joanne ClarkeDepartment of Archaeology, Durham University, Durham, UK.ORCID http://orcid.org/0000-0002-7954-6561
Chukwuma OkolieAfrican Centre for Cities, University of Cape Town, Cape Town, South Africa.
Robert J NichollsTyndall Centre for Climate Change Research, University of East Anglia, Norwich, UK. r.j.nicholls@soton.ac.uk.ORCID http://orcid.org/0000-0002-9715-1109
Nicholas P SimpsonClimate Risk Lab, African Climate and Development Initiative, University of Cape Town, Cape Town, South Africa. nick.simpson@uct.ac.za.ORCID http://orcid.org/0000-0002-9041-982X
Athanasios T VafeidisDepartment of Geography, Coastal Risks and Sea-Level Rise Research Group, Kiel University, Kiel, Germany.
Michalis Ioannis VousdoukasDepartment of Marine Sciences, University of the Aegean, Mytilene, Greece.

Funding

British Academy ODA Challenge-Oriented Research Grants 2024 (Grant Number IOCRG\100137)Natural Environment Research Council NE/X018180/1
6 · The paper itself

Abstract

Coastal heritage sites face significant global challenges such as flooding and coastal erosion, exacerbated by climate-induced sea-level rise and coastal development. The ability to accurately simulate and assess potential exposure of heritage sites to these hazards has been hampered by a lack of digital high resolution spatial data accurately recording the topographic boundaries of heritage sites. The Glo-CoH dataset contains digitized boundary extents of all the heritage sites inscribed by the United Nations Educational, Scientific and Cultural Organization (UNESCO) as World Heritage properties of Outstanding Universal Value that are situated along the global coastline under 20 m Above Mean Sea Level (AMSL). It comprises a total of 1,250 individual serial sites covering the breadth of designated cultural, natural and mixed heritage sites and encompasses an area covering over 235 million hectares. A programme of site digitisation utilised extant site plans and Google Earth worldwide satellite imagery to locate and digitise heritage site boundaries. The quality of the resulting dataset was assessed by applying a mixed qualitative/quantitative validation procedure to a stratified sub-sample, encompassing the quality of source material, site identification, visibility and digitising accuracy. The validation procedure suggests 92% of digitized sites obtain validation scores indicative of optimal digitisation accuracy. The Glo-CoH dataset is made available for geo-spatial analysis and intended for use by researchers and practitioners looking to assess or plan environmental, climatic, economic, infrastructural and societal dimensions relating to coastal heritage at site, city, and regions up to global scales.

Identifiers

PMID42498713
PMCPMC13400631

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.