user2016

An abundance of information emerged through collaborative mapping as a consequence of the development of Openstreetmap (OSM) in 2004. Currently, all kinds of R-packages are available to deal with different types of spatial data. But getting the OSM data into the R-environment can still be challenging, especially for users who are new to R. One way to access information is the usage of application programming interfaces (APIs) like the Overpass API.n nIn this presentation, I will focus on the possibilities to access, assess and process OSM-data with R. Therefore, I will provide the tie-ins of the R-language and OSM. Since XML-protocols are often used to describe spatial information, we will use the package geosmdata, which is a wrapper to transfer such information to R-dataframes, using the XML-package. Furthermore, I will showcase the importance of such connections via a brief case-study related to social sciences.