- ASA 2022 Data-Driven Decision Making
- A cura di Enrico di Bella, Luigi Fabbris, Corrado Lagazio
The Land Cover/Use Code of the new Istat Census cartography
- Stefano Mugnoli
- Alberto Sabbi
- Fabio Lipizzi
- © 2023 Author(s) |
- CC BY 4.0
- DOI: 10.36253/979-12-215-0106-3.21
ISTAT census layers, realized by ISTAT since 1991, are in update; this kind of digital cartography divides the entire national territory in very small enumeration areas to which are linked all the variables gathered during the census surveys. This layer, thanks to the several pieces of information related to each enumeration area, has a huge value for the statistical description of the Italian situation also regarding land cover and land use themes. Therefore, to further enrich the information assets of the ISTAT cartography, Environment and Territory Service of the Institute aims to produce an implementation of the enumeration areas layer to homogenise them with regard their land cover and land use. In addition, this is achieved through a specific code (Cod_TIPO_S) that can be related to the European frame LUCAS (Land Use and Cover Area Survey) legend. LUCAS survey represents the official frame for the dissemination of land cover and use statistics at continental level. For our purpose a specific transcoding table has been created between COD_TIPO_S and LUCAS legend. New enumeration areas layer provides for 47 legend entries In this brief paper both the work carried out and some provisional results for some of the major Italian urban areas are illustrated. The activities are in progress and are based on GIS algorithm and Python scripts.
- Keywords:
- enumeration areas,
- LUCAS survey,
- land cover,
- land use,
- GIS,
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy - ORCID: 0000-0002-3215-6400
ISTAT, Italian National Institute of Statistics, Italy
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Informazioni sul capitolo
Titolo del capitolo
The Land Cover/Use Code of the new Istat Census cartography
Autori
Stefano Mugnoli, Alberto Sabbi, Fabio Lipizzi
Lingua
English
DOI
10.36253/979-12-215-0106-3.21
Opera sottoposta a peer review
Anno di pubblicazione
2023
Copyright
© 2023 Author(s)
Licenza d'uso
Licenza dei metadati
Informazioni bibliografiche
Titolo del libro
ASA 2022 Data-Driven Decision Making
Sottotitolo del libro
Book of short papers
Curatori
Enrico di Bella, Luigi Fabbris, Corrado Lagazio
Opera sottoposta a peer review
Anno di pubblicazione
2023
Copyright
© 2023 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press, Genova University Press
DOI
10.36253/979-12-215-0106-3
eISBN (pdf)
979-12-215-0106-3
eISBN (xml)
979-12-215-0107-0
Collana
Proceedings e report
ISSN della collana
2704-601X
e-ISSN della collana
2704-5846