This dataset defines the concept of a building as a constructed volume without internal discontinuity, characterized by a single architectural typology and one defined state of conservation. A building may have multiple use categories and may be partly or fully underground. Each building record is linked to one or more Volumetric Units, and its geometry represents this spatial association. The dataset follows a standardized national data model used in Italian topographic and cadastral mapping to describe the built environment, supporting municipal and territorial planning, land administration, and interoperability across local geographic information systems.Si intende un corpo costruito che: - non presenta soluzione di continuità, - ha un’unica tipologia edilizia, - può avere più categorie d'uso - ha un dato stato di conservazione - può eventualmente essere sotterraneo L'edificio è associato ad una o più Unità Volumetriche ed il suo attributo spazia...
Trust score
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Data schema (7 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| id | int | Internal record identifier for the building.Internal record identifier for the building. |
| edifc_tyEdifc ty | text | Code for the building's typology or construction type.Code for the building's typology or construction type. |
| edifc_usoEdifc uso | text | Code indicating the building's usage category.Code indicating the building's usage category. |
| edifc_sotEdifc sot | text | Code indicating whether the building is underground.Code indicating whether the building is underground. |
| edifc_statEdifc stat | text | Code for the building's state of conservation.Code for the building's state of conservation. |
| edifc_monEdifc mon | text | Code or flag indicating monumental or historical status of the building.Code or flag indicating monumental or historical status of the building. |
| edifc_nomeEdifc nome | text | Name of the building, if any.Name of the building, if any. |
Schema inferred from the distribution file's first records 1 day ago. Column types are sampled estimates, not source-declared.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
| id | edifc_ty | edifc_uso | edifc_sot | edifc_stat | edifc_mon | edifc_nome |
|---|---|---|---|---|---|---|
| 10300 | 01 | 01 | 01 | 03 | — | — |
| 1112 | 01 | — | 01 | 03 | — | — |
| 1118 | 01 | — | 01 | 03 | — | — |
| 1140 | 01 | 07 | 01 | 03 | — | — |
| 1149 | 01 | 01 | 01 | 03 | — | — |
Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Query examples
curl -sL 'https://castelfrancopiandisco.ldpgis.it/metarepo2/api/datasets/edificio/download' -o data.zipZIP archive download — the schema shown was inferred from the dbf file inside it.
Dataset
Volume & freshness
License
No license declared upstream.
Distributions (1)
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.