2012
Tamayo-Fong, Alain; Granell-Canut, Carlos; Díaz-Sánchez, Laura; Gould, Michael; Huerta-Guijarro, Joaquín
Client-side processing for sensor web Book Chapter
In: Alencar, D.; Cowan, D. (Ed.): Handbook of on mobile software engineering: design implementation adn emergent applications., Chapter 34, pp. 789-808, IGI Global, 2012, ISBN: 978-1-61520-655-1.
Abstract | Links | BibTeX | Tags: sensor web, Sensors
@inbook{tamayo_client-side_2012,
title = {Client-side processing for sensor web},
author = {Alain Tamayo-Fong and Carlos Granell-Canut and Laura Díaz-Sánchez and Michael Gould and Joaquín Huerta-Guijarro},
editor = {D. Alencar and D. Cowan},
url = {http://www.igi-global.com/chapter/client-side-processing-sensor-web/66499},
doi = {10.4018/978-1-61520-655-1.ch043},
isbn = {978-1-61520-655-1},
year = {2012},
date = {2012-01-01},
booktitle = {Handbook of on mobile software engineering: design implementation adn emergent applications.},
pages = {789-808},
publisher = {IGI Global},
chapter = {34},
abstract = {Nowadays, the whole of society can benefit by collecting, sharing, and exploiting sensor data to offer valuable information to decision makers regarding human health, global environment protection, and improvement of water resources, energy, and agricultural management. This chapter explores data processing aspects for Sensor Web that let users process and use real-time sensor data from heterogeneous distributed sensors, identifying basic requirements to build geospatial processing applications such as encodings, metadata, standards for describing sensors, et cetera. These aspects are presented as part of the development process of an SOS client with versions targeted to desktop and mobile environments. The client is developed as a plug-in for the open source GIS gvSIG, which allows the combination of sensor data with other data coming from several different sources.},
keywords = {sensor web, Sensors},
pubstate = {published},
tppubtype = {inbook}
}
Nowadays, the whole of society can benefit by collecting, sharing, and exploiting sensor data to offer valuable information to decision makers regarding human health, global environment protection, and improvement of water resources, energy, and agricultural management. This chapter explores data processing aspects for Sensor Web that let users process and use real-time sensor data from heterogeneous distributed sensors, identifying basic requirements to build geospatial processing applications such as encodings, metadata, standards for describing sensors, et cetera. These aspects are presented as part of the development process of an SOS client with versions targeted to desktop and mobile environments. The client is developed as a plug-in for the open source GIS gvSIG, which allows the combination of sensor data with other data coming from several different sources.
Rodríguez-Pupo, Luis Enrique; Tamayo-Fong, Alain; Beltrán-Fonollosa, Arturo; Huerta-Guijarro, Joaquín
Visualization of Sensor Data in Virtual Globes Proceedings Article
In: Gensel, Jêrome; Josselin, Didier; Vandenbroucke, Danny (Ed.): Bridging the Geographic Information Sciences International AGILE2012 Conference Avignon France april 24- 27, 2012, pp. 41-45, AGILE Digital Editions, 2012, ISBN: 9789081696005.
Abstract | Links | BibTeX | Tags: data visualization, sensor observation services, sensor web, virtual globes
@inproceedings{RodriguezPupo2012,
title = {Visualization of Sensor Data in Virtual Globes},
author = { Luis Enrique Rodríguez-Pupo and Alain Tamayo-Fong and Arturo Beltrán-Fonollosa and Joaquín Huerta-Guijarro},
editor = {Gensel, Jêrome and Josselin, Didier and Vandenbroucke, Danny},
url = {http://hdl.handle.net/10234/159872},
isbn = {9789081696005},
year = {2012},
date = {2012-01-01},
booktitle = {Bridging the Geographic Information Sciences International AGILE2012 Conference Avignon France april 24- 27, 2012},
pages = {41-45},
publisher = {AGILE Digital Editions},
abstract = {Virtual Globes have become a common platform for visualizing geographical data. The capability for customization, extensibility and the support of interaction with the visualized elements are some of the aspects to consider when selecting a Virtual Globe for visualization. For visualizing sensor data, aspects such as cardinality, the nature of the data and its temporal and spatial dimensions have to be considered. In this paper we present a prototype application to visualize sensor data retrieved from SOS servers over the NASA World Wind virtual Globe. For implementing the prototype application we relied on a categorization of the sensor data that provides possible visualization methods. The prototype has integrated the SEXTANTE library to enable data analysis over sensor data and include the results as part of the visualizations.},
keywords = {data visualization, sensor observation services, sensor web, virtual globes},
pubstate = {published},
tppubtype = {inproceedings}
}
Virtual Globes have become a common platform for visualizing geographical data. The capability for customization, extensibility and the support of interaction with the visualized elements are some of the aspects to consider when selecting a Virtual Globe for visualization. For visualizing sensor data, aspects such as cardinality, the nature of the data and its temporal and spatial dimensions have to be considered. In this paper we present a prototype application to visualize sensor data retrieved from SOS servers over the NASA World Wind virtual Globe. For implementing the prototype application we relied on a categorization of the sensor data that provides possible visualization methods. The prototype has integrated the SEXTANTE library to enable data analysis over sensor data and include the results as part of the visualizations.