The present study provides a simplified framework verifying the degree of coverage and completeness of settlement maps derived from the OpenStreetMap (OSM) database at the national scale, with a possible use in official statistics. Measuring the completeness of the objects (i.e., buildings) derived from OpenStreetMap database supports its potential use in building/population censuses and other diachronic surveys, as well as administrative sources such as the register of building permits and land-use cadasters. A series of measurements at different scales are proposed and tested for Italy, in line with earlier studies. While recognizing the potential of the OpenStreetMap database for official statistics, the present work underlines the urgent need of an additional (spatially explicit) analysis overcoming the data heterogeneity and sub-optimal coverage of the OSM information source.

Official Statistics, Building Censuses, and OpenStreetMap Completeness in Italy / Salvucci, G.; Salvati, L.. - In: ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. - ISSN 2220-9964. - 11:1(2022). [10.3390/ijgi11010029]

Official Statistics, Building Censuses, and OpenStreetMap Completeness in Italy

Salvucci G.;Salvati L.
2022

Abstract

The present study provides a simplified framework verifying the degree of coverage and completeness of settlement maps derived from the OpenStreetMap (OSM) database at the national scale, with a possible use in official statistics. Measuring the completeness of the objects (i.e., buildings) derived from OpenStreetMap database supports its potential use in building/population censuses and other diachronic surveys, as well as administrative sources such as the register of building permits and land-use cadasters. A series of measurements at different scales are proposed and tested for Italy, in line with earlier studies. While recognizing the potential of the OpenStreetMap database for official statistics, the present work underlines the urgent need of an additional (spatially explicit) analysis overcoming the data heterogeneity and sub-optimal coverage of the OSM information source.
2022
Comparative analysis; Sampling under-coverage; Spatial testing; Volunteered geographic information (VGI)
01 Pubblicazione su rivista::01a Articolo in rivista
Official Statistics, Building Censuses, and OpenStreetMap Completeness in Italy / Salvucci, G.; Salvati, L.. - In: ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. - ISSN 2220-9964. - 11:1(2022). [10.3390/ijgi11010029]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1675479
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