[GB001601] EUNIS habitats from the NatureScot "Points to polygon" project - extracted from GeMS

This dataset can be described as a collection of predictive habitat maps covering several different Scottish SAC's and MPA's, classified to EUNIS and extracted from the GeMS database (v24_1).

Simple

Alternate title

GB001601
Date (Creation)
2019-05-15
Citation identifier
5877d808-3fd7-11eb-b378-0242ac130002
Point of contact
Organisation name Individual name Electronic mail address Role

MyOrganisation

info@my-organisation.eu

Owner
GEMET - INSPIRE themes, version 1.0
GEMET - Concepts, version 4.1.3
Access constraints
Other restrictions
Other constraints
no limitations to public access
Use constraints
Other restrictions
Other constraints

Available under the Creative Commons Attribution (CC-BY) License v4.0
Spatial representation type
Vector
Denominator
50000
Language
English
Topic category
  • Biota
  • Oceans
N
S
E
W
thumbnail




Begin date
2019-04-29
Reference system identifier
http://www.opengis.net/def/crs/EPSG/0/3857
Distribution format
Name Version

ESRI Shapefile

1.0

GML

3.2.1
OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--link

 		https://files.emodnet-seabedhabitats.eu/data/EMODnetSBHsurvey_GB001601.zip

EMODnet Seabed Habitats download
Hierarchy level
Dataset

Conformance result

Title
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
Date (Publication)
2010-12-08
Explanation

This data set is conformant with the INSPIRE Implementing Rules for the interoperability of spatial data sets and services
Pass
Yes
Statement

Individual maps within the dataset were produced differently on a site-by-site basis, depending on:

1) The best available data, which include; sample point data, aerial imagery, acoustic data and physical parameter data layers

2) The predictive modelling technique applied, including; statistical modelling, imagery classification and rule-based modelling

Therefore, predictive mapping outputs produced GIS polygon data range for a range of features across the sites, at varying scales, and to different degrees of confidence



For further details, please read Report 980:

https://www.nature.scot/naturescot-commissioned-report-980-predictive-mapping-seabed-features-within-selected-special-areas

Metadata

File identifier
67e212c1-bd02-42fb-a550-a6efd61513dd XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2021-11-29T16:54:14
Metadata author
Organisation name Individual name Electronic mail address Role

MyOrganisation

info@my-organisation.eu

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

GEMET - INSPIRE themes, version 1.0

Habitats and biotopes Oceanographic geographical features


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