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Countries, 2020 - Administrative Units - Dataset
Resource ID
68d65c82-a33b-11ed-8b62-fa76a0a6cdf9
Title
Countries, 2020 - Administrative Units - Dataset
Date
Feb. 2, 2023, 8:51 p.m., Publication
Abstract
This data set contains the administrative boundaries at country level of the world and is based on the geometry from EBM v2020 (ReferenceDate 31.12.2018) of EuroGeographics for the members of Eurogeographics, and GISCO Countries 2020. This dataset consists of 2 feature classes (regions, boundaries) at 1M scale level.
Edition
--
Responsible
bremerich
Point of Contact
Bremerich
vanessa.bremerich@igb-berlin.de
Purpose
--
Maintenance Frequency
None
Type
vector
Restrictions
otherRestrictions
 © EuroGeographics for the administrative boundaries
License
Not Specified
Language
eng
Temporal Extent
Start
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End
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Supplemental Information
No information provided
Data Quality
The dataset is based on the geometry from EBM v2020. of EuroGeographics for the members of Eurogeographics,and the generalised scales are based on GISCO Countries 2016 due to the lack of updates of the UN FAO Gaul dataset. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2020, NUTS_2021, CNTR_2020, EEZ_2020 and COAS_2020, are fully coherent and compliant. Each scale level in the CNTR_2020 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label and an associated record in the CNTR_AT table which contains names and poltical status.
Extent
  • x0: -180.0
  • x1: 179.999991
  • y0: -89.900001
  • y1: 83.664978
Spatial Reference System Identifier
EPSG:4326
Keywords
no keywords
Category
Boundaries
Regions
Global