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.},
}