ae6b5a8b-2887-4181-b20d-b62906b29b6b
eng
MD_CharacterSetCode_utf8
6020613b-6d91-49bd-a898-dac54e629878
tile
Dataset is provided by France
N.A.
N.A.
N.A.
N.A.
Mayotte
N.A.
N.A.
pointOfContact
2021-03-31
ISO19115
2003/Cor.1:2006
http://www.opengis.net/def/crs/EPSG/0/4258
EPSG
Mayotte's country contribution for EuroRegionalMap 2021
2021-01-20
publication
YT_ERM_2021
EuroRegionalMap country contribution provides a geographic database for topographic data that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions within the framework of EuroGeographics.
Administrative units
Energy resources
Geographical names
Hydrography
Land cover
Land use
Mineral resources
Population distribution — demography
Production and industrial facilities
Protected sites
Soil
Transport networks
Utility and governmental services
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
Restrictions on the access and use of a resource or metadata: https://eurogeographics.org/products-and-services/licensing/
intellectualPropertyRights
250000
fre
MD_CharacterSetCode_utf8
farming
utilitiesCommunication
transportation
structure
society
location
inlandWaters
imageryBaseMapsEarthCover
environment
boundaries
biota
Mayotte
45
46
-14
-12
ESRI-Shapefile
1.0
ESRI-FileGeodatabase
ArcGIS 10.1
tile
Mayotte's contribution to the ERM dataset
ERM 2021 Specification
2021-01-20
publication
See the referenced specification
true
See lineage document for Mayotte
ERM Mayotte is derived from the French BDUni database, which stores multi-theme data at both large and medium scales.
The general method used to produce ERM is as follows:
(+) Select the data needed for ERM – this data has to be suitable for the 1:250,000 scale, and has to fulfil the selection criteria of the ERM specifications.
(+) Combine data coming from different layers of the source database, to create the required feature classes in ERM.
(+) Populate the ERM attributes.
(+) Ensure that the data is correctly edge-matched with the neighbouring countries.
(+) Generalize the data to fit the ERM scale.
250000
EuroRegionalMap 2020
ERM 2020
2020-04-09
publication