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Urban plots: a land and functional reference system

Urban parcels are a spatial analysis unit developed by the Apur to better reflect the physical and functional reality of the urban fabric than is possible with cadastral parcels alone.
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Urban parcels © Apur

These parcels are the result of automated processing that combines a number of criteria: land ownership groupings, equipment rights-of-way as indivisible entities, and geometric consistency with the built-up blocks along the road frontage.

An urban parcel may therefore comprise several contiguous cadastral parcels belonging to the same owner, or correspond to a functional right-of-way (a facility such as a school, hospital or park), considered as a coherent unit.

Conceived as a unified spatial reference, the urban parcel offers a number of advantages in territorial analyses and urban simulation tools:

  • It corrects the biases of the land register by excluding public space (roads), allowing a more coherent reading of the urban fabric in relation to its occupation, as well as a better distinction between public space and private property;
  • It facilitates reliable cross-calculations (density, accessibility, land potential) by avoiding over-representation of undeveloped or poorly-qualified areas (allocation of built-up areas to just one of the cadastral parcels of a land unit comprising several parcels);
  • It enables surface areas to be qualified by use (housing, activity, facilities, etc.), by cross-referencing several sources (tax, social rental stock, Apur facilities, floor areas derived from built-up areas/Apur height, etc.);
  • It offers an analysis framework tailored to the needs of statistical diagnostics and dashboards.

The urban parcel thus offers a more relevant analytical framework for urban studies than cadastral parcels. It also facilitates cross-analyses of land use, density, accessibility and the potential for land transformation.

This data is regularly used in the Apur's work, particularly for density analyses, land studies, the identification of potential for transformation or simulations of land use in the medium or long term.

Technical Details

Each entity in the layer corresponds to an urban parcel, defined as a spatial unit resulting from the grouping of contiguous cadastral parcels, according to land, functional and geometric criteria.

Main variables (surface representation)
The structure of the file has been designed to ensure both readability for the user (explicit field names) and interoperability with other datasets produced by the Apur (rights of way, equipment, vegetation, tax data, etc.).

  • Surface area: floor area calculated from the geometry.
  • Equipment category
  • Owner category (legal entity): Apur category derived from work on names and SIREN codes in DGFiP land files.
  • Owner's name (legal entity) : Owner name for legal entities, taken from DGFiP property files.

The typology, enumeration and surface area data are not available in open data and are only available to those with rights to the land data
For more technical information, please consult the detailed sheet on the Geocatalogue.

Data source :
The urban parcels are produced by the Apur from automated processing of several databases, combining cadastral, land and morphological information (physical blocks and equipment rights-of-way).
The main sources used are the DGFiP's cadastral parcels, the MAJIC land files, and the Apur's facilities and blocks database. Aerial photographs and other cartographic references supplement this information to guarantee the geometric consistency of physical blocks and facilities with the cadastral parcel map where relevant.
The dataset is updated according to the needs of the Apur's studies, on a periodic or thematic basis, depending on the urban transformations observed.

Licence and conditions of use

Before any use, you are invited to read and accept the terms of the ODbL licence and the limits of use specified here:  https://www.apur.org/open_data/resume_licence_ODbl.pdf

Reuse of data

If you have any questions or suggestions, please don't hesitate to contact us at data@apur.org
We welcome your feedback and contributions to help us enrich these datasets.