inst/CITATION
Nüst, D., Stasch, C. and Pebesma, E. J. Connecting R to the Sensor Web in Geertman, S.; Reinhardt, W. and Toppen, F. (Eds.) Advancing Geoinformation Science for a Changing World, Springer Lecture Notes in Geoinformation and Cartography, 2011, 227 - 246
@InProceedings{, author = {Daniel Nüst and Christoph Stasch and Edzer J. Pebesma}, title = {Connecting R to the Sensor Web}, booktitle = {Advancing Geoinformation Science for a Changing World}, year = {2011}, editor = {Stan Geertman and Wolfgang Reinhardt and Fred Toppen}, series = {Proceedings of AGILE}, pages = {227 - 246}, publisher = {Springer Lecture Notes in Geoinformation and Cartography}, doi = {10.1007/978-3-642-19789-5_12}, abstract = {Interoperable data exchange and reproducibility are increasingly important for modern scientific research. This paper shows how three open source projects work together to realize this: (i) the R project, providing the lingua franca for statistical analysis, (ii) the Open Geospatial Consortium's Sensor Observation Service (SOS), a standardized data warehouse service for storing and retrieving sensor measurements, and (iii) sos4R, a new project that connects the former two. We show how sos4R can bridge the gap between two communities in science: spatial statistical analysis and visualization on one side, and the Sensor Web community on the other. sos4R enables R users to integrate (near real-time) sensor observations directly into R. Finally, we evaluate the functionality of sos4R. The software encapsulates the service's complexity with typical R function calls in a common analysis workflow, but still gives users full flexibility to handle interoperability issues. We conclude that it is able to close the gap between R and the sensor web.}, }