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MOSES project - WP6 - Overall sinthetic index of vulnerability

A final aggregated vulnerability index was obtained by combining all the partial indices belonging to each of the five vectors with V4 scores multiplied by −1 since Vector 4 indicators are of “resilience” rather than of “vulnerability”. Figures 6a and 6b show respectively map and cartogram of the geographical distribution obtained for this vector. As can be seen, except for most of Ireland, the Atlantic European coast ap- pears in redish colours corresponding to higher values of vulnerability.
 
Citation proposal
Javier Fernandez-Macho (Institute for Public Economics and Dpt. of Econometrics and Statistics) - Mariapilar Gonzalez (Institute for Public Economics and Dpt. of Econometrics and Statistics) - Jorge Virto (Institute for Public Economics and Dpt. of Econometrics and Statistics) (2020) . MOSES project - WP6 - Overall sinthetic index of vulnerability. https://services.mspdata.eu:/geonetwork/srv/api/records/9266dc06-ea00-47f1-b2c5-65d615b207b3

Simple

Date ( Publication )
2020-11-12
Identifier
MOSES_WP6_INDEX_OF_VULNERABILITY
Credit
MOSES project

  Author

Institute for Public Economics and Dpt. of Econometrics and Statistics - Javier Fernandez-Macho  

  Author

Institute for Public Economics and Dpt. of Econometrics and Statistics - Mariapilar Gonzalez  

  Author

Institute for Public Economics and Dpt. of Econometrics and Statistics - Jorge Virto  

Thèmes Sextant ( Theme )
  • /Human Activities/Scientific Activities
GEMET - INSPIRE themes, version 1.0 ( Theme )
  • Oceanographic geographical features
Access constraints
Other restrictions
Use constraints
Copyright
Other constraints
Spatial representation type
Vector
Metadata language
English
Character set
UTF8
Topic category
  • Oceans
N
S
E
W


Reference system identifier
EPSG / WGS 84 (EPSG:4326) / 7.4
Distribution format
  • ( )

OnLine resource
MOSES WP6 Data gathering and compilation of indicators  
OnLine resource
MOSES WP6 Data processing and construction of synthetic index  
OnLine resource
MOSES WP6 Analysis and dissemination of results  
OnLine resource
MOSES_WP6_VECTOR_INDEXGLOBAL  

Overall sinthetic index of vulnerability

Hierarchy level
Dataset

Conformance result

Date ( Publication )
2010-12-08
Explanation
See the referenced specification
Statement

The cartogram represented in Figure 6b illustrates the relative vulnera- bility of the Atlantic European coast by scaling the surface area of each NUTS3 region in proportion to its vulnerability index score. As can be seen the regions with the greatest vulnerability (10% quantile) belong exclusively to United Kingdom (see the overall ranking in Figure B6). In fact, in the first quarter all but three, Cávado (17th) and Porto (22nd) in Portugal and Eure in France (18th), are on the British coast.

More specifically, on a scale of one to ten, the UK regions of Plymouth, Liverpool (9.8), Cheshire West and Chester (9.7), Chorley and West Lancashire (9.6), Lancaster and Wyre, Blackpool, East Merseyside (9.5), Warrington, Somerset and Mid Lancashire (9.2) lead the overall coastal vulnerability ranking, with six more with a score greater than 9.0. In contrast, the rest of Atlantic European countries have no regions with such high score. For example, the highest scores in Portugal belong to Cávado (just below 9.0) and Porto (8.9), in France to Eure (8.9) and Seine-Maritime (7.9), in Spain to Cantabria (7.1) on the Bay of Bis-

cay coast, A Coruña and Pontevedra (6.8) on the Galician coast and Fuerteventura (6.8) in the Canary Islands, and in Ireland the highest score corresponds to Mid-West (6.1) in the 72nd position.

By countries, the average scores are UK 8.2, Portugal 7.1, France 6.2, Spain 5.4 and Ireland 4.0 (see the country-level bar plots in Figure A6), with an overall Atlantic European average of 7.1. A fuller comparison between countries showing nationwide heterogeneity may be visual- ized using so-called violin plots, a combination of a two-sided rotated kernel density plot with a box-and-whisker plot inside showing the interquartile range (box) and data points at 1.5 times the box length (see Figure 7).

In this respect, UK shows a vulnerability score distribution quite com- pact and biased towards high values, while Portugal, in spite oh hav- ing an average score just marginally higher than for the whole Euro- pean Atlantic area, is the country with the highest regional hetero- geneity with a sustantial proportion of regions above the Atlantic European average, but with a large variation due to the lowest vul- nerabilities shown in Madeira (0.8) and Açores (4.0). Similarly, Spain, although with most regions below the Atlantic European average ex- cept marginally the above mentioned Cantabria region, shows a large variation due to the relatively low vulnerabilities of all the Canary Islands.

In summary, it can be concluded that within the European Atlantic Arc, the country with the most vulnerable coast is UK, where most regions are above the Atlantic European average. On the other hand, the country with the least coastal vulnerability is Ireland, with a quite compact distribution of all its regions well below the Atlantic Euro- pean average. Nevertheless, considering the whole picture, most of the Atlantic European coast appears to be quite vulnerable.

Metadata

File identifier
9266dc06-ea00-47f1-b2c5-65d615b207b3   XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2020-11-18T07:42:05
Metadata standard name
ISO 19115:2003/19139 - SEXTANT
Metadata standard version
1.0

  Point of contact

Institute for Public Economics and Dpt. of Econometrics and Statistics - Javier Fernandez-Macho  

 
 

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