d647ebaa-9700-4722-b9e1-d6c8c787f448 eng MD_CharacterSetCode_utf8 6020613b-6d91-49bd-a898-dac54e629878 tile Dataset is provided by France N.A. N.A. N.A. N.A. Saint Martin N.A. N.A. pointOfContact 2021-03-31 ISO19115 2003/Cor.1:2006 http://www.opengis.net/def/crs/EPSG/0/4258 EPSG Saint Martin's country contribution for EuroRegionalMap 2021 2021-01-20 publication MF_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 Saint Martin -64 -62 18 19 ESRI-Shapefile 1.0 ESRI-FileGeodatabase ArcGIS 10.1 tile Saint Martin's contribution to the ERM dataset ERM 2021 Specification 2021-01-20 publication See the referenced specification true See lineage document for Saint Martin ERM Saint-Martin 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