Statistical data for the PAM for municipalities
Polygons of municipalities with selected absolute and ratio indicators for Planning Analytical Materials in 2018-2025.
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Český statistický úřad
settlement structure
Statistical data for the PAM for AD MEP
Polygons of administrative districts of municipalities with extended powers with selected absolute and ratio indicators for Planning Analytical Materials in 2018-2025.
Statistical data for PAM for regions
Polygons of regions/NUTS3 with selected absolute and ratio indicators for Planning Analytical Materials in 2018-2025.
Degree of urbanisation (DEGURBA) for municipalities (true shape)
Municipality polygons classified using a experimental polygon-based (object-oriented) DEGURBA model. The classification is based on accurate spatial identification of settlement clusters and subsequent aggregation of population into administrative units.
Degree of urbanisation (DEGURBA) for municipalities (Scope 2)
Municipality polygons classified according to the prevailing DEGURBA category (Scope 2). The classification is based on the aggregation of population data from the grid and considers the share of population in individual urbanisation classes, including the hierarchy of the settlement system.
Degree of urbanisation (DEGURBA) for municipalities (Scope 1)
Municipality polygons classified according to the prevailing DEGURBA urbanisation category. The classification is based on the aggregation of population data from the grid using address-based population allocation and the calculation of population shares across urbanisation classes.
Degree of urbanisation (DEGURBA) for cadastral units (true shape)
Cadastral unit polygons classified using a experimental polygon-based (object-oriented) DEGURBA model. The classification is based on accurate spatial identification of settlement clusters and subsequent aggregation of population into administrative units.
Degree of urbanisation (DEGURBA) for cadastral units (Scope 2)
Cadastral unit polygons classified according to the prevailing DEGURBA category (Scope 2). The classification is based on the aggregation of population data from the grid and considers the share of population in individual urbanisation classes, including the hierarchy of the settlement system
Degree of urbanisation (DEGURBA) for cadastral units (Scope 1)
Cadastral unit polygons classified according to the prevailing DEGURBA urbanisation category. The classification is based on the aggregation of population data from the grid using address-based population allocation and the calculation of population shares across urbanisation classes.
Degree of urbanisation (DEGURBA) for basic territorial units (true shape)
Polygons of basic territorial units classified using a polygon-based (object-oriented) DEGURBA model. The classification is based on accurate spatial identification of settlement clusters and subsequent aggregation of population into administrative units.
Degree of urbanisation (DEGURBA) for basic territorial units (Scope 2)
Polygons of basic territorial units classified according to the prevailing DEGURBA category (Scope 2). The classification is based on the aggregation of population data from the grid and considers the share of population in individual urbanisation classes, including the hierarchy of the settlement system.
Degree of urbanisation (DEGURBA) for basic territorial units (Scope 1)
Polygons of basic territorial units classified according to the prevailing DEGURBA urbanisation category. The classification is based on the aggregation of population data from the grid using address-based population allocation and the calculation of population shares across urbanisation classes.
Degree of urbanisation (DEGURBA) for alternative polygons (true shape)
The DEGURBA alternative polygon (object-based) model, which maps the actual shape of urbanized areas using a detailed spatial distribution of the population at address points. Unlike the grid-based approach, DEGURBA allows for the precise delineation of settlement structures without the influence of a fixed grid and eliminates uninhabited areas.