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Aug. 3, 2023, 10:04 a.m.

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Identification

Title
Countries, 2020 - Administrative Units - Dataset
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.

License
Not Specified
+ The original author did not specify a license.

Publication Date
Feb. 2, 2023, 8:51 p.m.
Type
Vector Data
Keywords
Category
Boundaries
Legal land descriptions. Examples: political and administrative boundaries.
Regions
Global
Approved
Yes
Published
Yes
Featured
No
DOI
None
Attribution
None
Responsible

Name
Vanessa Bremerich (bremerich)
email
vanessa.bremerich@igb-berlin.de
Position
Technician
Organization
IGB
Location
Mueggelseedamm 310 12587 Berlin DEU
Voice
+49 (0)30 64181 515
Fax
None
Keywords
ldap
Information

Identification Image
Spatial Extent
---
Projection System
EPSG:4326
Extension x0
-180.0
Extension x1
179.999991
Extension y0
-89.900001
Extension y1
83.664978
Features

Restrictions

 © EuroGeographics for the administrative boundaries

Language
English
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.

Supplemental Information

No information provided

Spatial Representation Type
vector data is used to represent geographic data
Contact Points

Name
Vanessa Bremerich (bremerich)
email
vanessa.bremerich@igb-berlin.de
Position
Technician
Organization
IGB
Location
Mueggelseedamm 310 12587 Berlin DEU
Voice
+49 (0)30 64181 515
Fax
None

References

Link Online
/layers/igb_geonode_data:geonode:CNTR_BN_01M_2020_4326
Metadata Page
/layers/igb_geonode_data:geonode:CNTR_BN_01M_2020_4326/metadata_detail

Zipped Shapefile
Countries, 2020 - Administrative Units - Dataset.zip
Thumbnail
Countries, 2020 - Administrative Units - Dataset.png
Thumbnail
Countries, 2020 - Administrative Units - Dataset.png
Thumbnail
Countries, 2020 - Administrative Units - Dataset.png
PDF
Countries, 2020 - Administrative Units - Dataset.pdf
PNG
Countries, 2020 - Administrative Units - Dataset.png
Original Layer
Countries, 2020 - Administrative Units - Dataset.zip
JPEG
Countries, 2020 - Administrative Units - Dataset.jpg
Thumbnail
Countries, 2020 - Administrative Units - Dataset.png
GML 2.0
Countries, 2020 - Administrative Units - Dataset.gml
GML 3.1.1
Countries, 2020 - Administrative Units - Dataset.gml
CSV
Countries, 2020 - Administrative Units - Dataset.csv
Excel
Countries, 2020 - Administrative Units - Dataset.excel
GeoJSON
Countries, 2020 - Administrative Units - Dataset.json
Legend
Countries, 2020 - Administrative Units - Dataset.png
Thumbnail
Countries, 2020 - Administrative Units - Dataset.png

OGC WMS: geonode Service
Geoservice OGC:WMS
OGC WFS: geonode Service
Geoservice OGC:WFS
Metadata Author

Name
Vanessa Bremerich (bremerich)
email
vanessa.bremerich@igb-berlin.de
Position
Technician
Organization
IGB
Location
Mueggelseedamm 310 12587 Berlin DEU
Voice
+49 (0)30 64181 515
Fax
None
Keywords
ldap

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