Our book chapter contribution in “Abstracting Geographic Information in a Data Rich World” has appeared.
Abstract: The availability of spatial data on the web has greatly increased through the availability of user-generated community data and geosensor networks. The integration of such multi-source data is providing promising opportunities, as integrated information is richer than can be found in only one data source, but also poses new challenges due to the heterogeneity of the data, the differences in quality and in respect of tag-based semantic modelling. The chapter describes approaches for the integration of official and informal sources, and discusses the impact of integrating user-generated data on automated generalisation and visualisation.
Sester, M., Jokar Arsanjani, J., Klammer, R., Burghardt, D., & Haunert, J.-H. (2014). Integrating and Generalising Volunteered Geographic Information. In D. Burghardt, C. Duchêne, & W. Mackaness (Eds.), Abstracting Geographic Information in a Data Rich World SE – 5 (pp. 119–155). Springer International Publishing. doi:10.1007/978-3-319-00203-3_5