9791221501063-21.pdf

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 r...

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Γλώσσα:English
Έκδοση: Firenze University Press, Genova University Press 2023
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/979-12-215-0106-3_21
id oapen-20.500.12657-74893
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spelling oapen-20.500.12657-748932023-08-03T17:59:37Z Chapter The Land Cover/Use Code of the new Istat Census cartography Mugnoli, Stefano Lipizzi, Fabio sabbi, alberto enumeration areas LUCAS survey land cover land use GIS bic Book Industry Communication::J Society & social sciences 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. 2023-08-03T15:05:54Z 2023-08-03T15:05:54Z 2023 chapter ONIX_20230803_9791221501063_89 2704-5846 9791221501063 https://library.oapen.org/handle/20.500.12657/74893 eng Proceedings e report application/pdf Attribution 4.0 International 9791221501063-21.pdf https://books.fupress.com/doi/capitoli/979-12-215-0106-3_21 Firenze University Press, Genova University Press ASA 2022 Data-Driven Decision Making 10.36253/979-12-215-0106-3.21 10.36253/979-12-215-0106-3.21 9223d3ac-6fd2-44c9-bb99-5b98ca9d2fad 863aa499-dbee-4191-9a14-3b5d5ef9e635 9791221501063 134 6 Florence open access
institution OAPEN
collection DSpace
language English
description 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.
title 9791221501063-21.pdf
spellingShingle 9791221501063-21.pdf
title_short 9791221501063-21.pdf
title_full 9791221501063-21.pdf
title_fullStr 9791221501063-21.pdf
title_full_unstemmed 9791221501063-21.pdf
title_sort 9791221501063-21.pdf
publisher Firenze University Press, Genova University Press
publishDate 2023
url https://books.fupress.com/doi/capitoli/979-12-215-0106-3_21
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