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

Martin Raifer(Heidelberg University), Rafael Troilo(Heidelberg University), Fabian Kowatsch(Heidelberg University), Michael Auer(Heidelberg University), Lukas Loos(Heidelberg University), Sabrina Marx(Heidelberg University), Katharina Przybill(Heidelberg University), Sascha Fendrich(Heidelberg University), Franz‐Benjamin Mocnik(Heidelberg University), Alexander Zipf(Heidelberg University)
Open Geospatial Data Software and Standards
April 8, 2019
Cited by 62Open Access
Full Text

Abstract

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.


Related Papers

No related papers found

Powered by citation graph analysis