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

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.

OpenStreetMap quality assessment using unsupervised machine learning methods

“…Barron et al (2014) have developed a similar framework to make OSM quality assessments based on the input data’s history, without reliance on a comparison dataset. More recently, Raifer et al (2019) provide a brief review of several pre‐existing tools, and introduce their own framework for spatio‐temporal analysis of OSM data.…”

Geospatial Data Management Research: Progress and Future Directions

“…As a consequence of the available geosensor data, "LinkedGeoData" has been established as a concept to add the spatial reference, i.e., coordinates, to the Web of Data/Semantic Web [73]. As an example, LinkedGeoData has used data of the OpenStreetMap project [84,85] and thus has made the OpenStreetMap data available as a resource description framework (RDF) knowledge base following the linked data principles [73]. Furthermore, OpenStreetMap started to interlink this data with knowledge bases of the Linking Open Data initiative [86].…”

Geospatial openness: from software to standards & data

“…Four of them describe software applications aimed to extract useful information from the OSM database through analysis, processing, visualization or a combination of them. The papers by Minghini and Frassinelli [25] and Raifer et al [26] specifically address the analysis of OSM history, which represents a peculiar component of the OSM database itself.…”

“…The paper by Raifer et al [26] presents the Open-StreetMap History Database (OSHDB), a framework for spatio-temporal analysis of OSM history data. Unlike "Is OSM up-to-date?…”