OSHDB: a framework for spatio-temporal analysis of OpenStreetMap history data

OpenStreetMap (OSM) is a collaborative project collecting geographical data of the entire world. The level of detail of OSM data and its data quality vary much across different regions and domains. In order to analyse such variations it is often necessary to research the history and evolution of the...

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Bibliographic Details
Published in:Open geospatial data, software and standards Vol. 4; no. 1; pp. 1 - 12
Main Authors: Raifer, Martin, Troilo, Rafael, Kowatsch, Fabian, Auer, Michael, Loos, Lukas, Marx, Sabrina, Przybill, Katharina, Fendrich, Sascha, Mocnik, Franz-Benjamin, Zipf, Alexander
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 08.04.2019
Springer Nature B.V
Subjects:
Application programming interface
Communications Engineering
Data analysis
Digital mapping
Domains
Earth and Environmental Science
Evolution
Geographical Information Systems/Cartography
Geography
Information Systems Applications (incl.Internet)
Networks
Open Source Geospatial Software
Open systems
Quality assessment
Software
Volunteered Geographic Information (VGI)
Data analysis
OpenStreetMap history data
Data quality assessment
OpenStreetMap (OSM)
ISSN:2363-7501, 2363-7501
Online Access:Get full text
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Summary:OpenStreetMap (OSM) is a collaborative project collecting geographical data of the entire world. The level of detail of OSM data and its data quality vary much across different regions and domains. In order to analyse such variations it is often necessary to research the history and evolution of the OSM data. The OpenStreetMap History Database (OSHDB) is a new data analysis tool for spatio-temporal geographical vector data. It is specifically optimized for working with OSM history data on a global scale and allows one to investigate the data evolution and user contributions in a flexible way. Benefits of the OSHDB are for example: to facilitate accessing OSM history data as a research subject and to assess the quality of OSM data by using intrinsic measures. This article describes the requirements of such a system and the resulting technical implementation of the OSHDB: the OSHDB data model and its application programming interface.
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ISSN:2363-7501
2363-7501
DOI:10.1186/s40965-019-0061-3