2017
Ngo, Manh Khoi; Rodríguez-Pupo, Luis Enrique; Casteleyn, Sven
An overview of Citizense: A generic user-oriented participatory sensing framework Proceedings Article
In: Bregt, Arnold; Sarjakoski, Tina; von Lammeren, Ron; van Rip (Eds.), Frank (Ed.): Societal Geo-Innovation : short papers, posters and poster abstracts of the 20th AGILE Conference on Geographic Information Science. Wageningen 9-12 May 2017, Wageningen University & Research, Wageningen, 2017, ISBN: 978-90-816960-7-4.
BibTeX | Tags: citizen participation, Citizen Science, GEO-C, Participatory GIS
@inproceedings{Ngo2017,
title = {An overview of Citizense: A generic user-oriented participatory sensing framework},
author = {Manh Khoi Ngo and Luis Enrique Rodríguez-Pupo and Sven Casteleyn},
editor = {Arnold Bregt and Tina Sarjakoski and Ron von Lammeren and Frank van Rip (Eds.)},
isbn = {978-90-816960-7-4},
year = {2017},
date = {2017-05-12},
booktitle = {Societal Geo-Innovation : short papers, posters and poster abstracts of the 20th AGILE Conference on Geographic Information Science. Wageningen 9-12 May 2017},
publisher = {Wageningen University & Research},
address = {Wageningen},
keywords = {citizen participation, Citizen Science, GEO-C, Participatory GIS},
pubstate = {published},
tppubtype = {inproceedings}
}
Martins, Jana Lodi
Measuring air quality with low-cost sensors in citizen science applications Masters Thesis
INIT, Castellón, 2017.
BibTeX | Tags: Air quality sensors, Citizen Science, Mastergeotech
@mastersthesis{Martins2017,
title = {Measuring air quality with low-cost sensors in citizen science applications},
author = {Jana Lodi Martins},
editor = {Thomas Bartoschek and Roberto Henriques and Sven Casteleyn},
year = {2017},
date = {2017-03-03},
address = {Castellón},
school = {INIT},
keywords = {Air quality sensors, Citizen Science, Mastergeotech},
pubstate = {published},
tppubtype = {mastersthesis}
}
2016
Mendoza-Silva, Germán Martín; Rodríguez-Pupo, Luis Enrique; Torres-Sospedra, Joaquín; Huerta-Guijarro, Joaquín
Solutions for signal mapping campaigns of Wi-Fi networks Proceedings
JIIDE 2016 Barcelona (27-30/09/2016), 2016.
Abstract | Links | BibTeX | Tags: Citizen Science, Data Infrastructures, Mobile apps, Web, Wi-Fi, Wi-Fi mapping
@proceedings{mendozasolutions,
title = {Solutions for signal mapping campaigns of Wi-Fi networks},
author = {Germán Martín Mendoza-Silva and Luis Enrique Rodríguez-Pupo and Joaquín Torres-Sospedra and Joaquín Huerta-Guijarro},
url = {http://www.idee.es/resources/presentaciones/JIIDE16/2016/34_art_2_UJI_SolucionesMapeadoWiFi.pdf},
year = {2016},
date = {2016-09-27},
publisher = {JIIDE 2016 Barcelona (27-30/09/2016)},
abstract = {The boom of smart mobile devices with several types of sensors has enabled applications that engage people in collecting information about their surroundings so that they can contribute to citizen science projects. In this paper, we
address a set of software solutions that aim to enable the general public to participate in WiFi signal samples collection campaigns. We expect these solutions to be appealing for researchers working in WiFi-based indoor positioning due to the widespread presence of WiFi antennas, the popularity of smartphone able to connect to those antennas, and because it is usually required to create a WiFi fingerprint database, which is a very time-consuming activity. The solutions set addresses three step in the WiFi signal samples database creation process: The campaign planning, the WiFi signal collection and the database construction and sharing. By the end of the process, the research community is provided with sets of geo-located points whose attributes include the signal intensities of the detected WiFi access points. The solutions set that we described in this paper can be extended to include campaigns focused on measuring other physical phenomena by using other sensors found in mobile devices.
},
keywords = {Citizen Science, Data Infrastructures, Mobile apps, Web, Wi-Fi, Wi-Fi mapping},
pubstate = {published},
tppubtype = {proceedings}
}
The boom of smart mobile devices with several types of sensors has enabled applications that engage people in collecting information about their surroundings so that they can contribute to citizen science projects. In this paper, we
address a set of software solutions that aim to enable the general public to participate in WiFi signal samples collection campaigns. We expect these solutions to be appealing for researchers working in WiFi-based indoor positioning due to the widespread presence of WiFi antennas, the popularity of smartphone able to connect to those antennas, and because it is usually required to create a WiFi fingerprint database, which is a very time-consuming activity. The solutions set addresses three step in the WiFi signal samples database creation process: The campaign planning, the WiFi signal collection and the database construction and sharing. By the end of the process, the research community is provided with sets of geo-located points whose attributes include the signal intensities of the detected WiFi access points. The solutions set that we described in this paper can be extended to include campaigns focused on measuring other physical phenomena by using other sensors found in mobile devices.
address a set of software solutions that aim to enable the general public to participate in WiFi signal samples collection campaigns. We expect these solutions to be appealing for researchers working in WiFi-based indoor positioning due to the widespread presence of WiFi antennas, the popularity of smartphone able to connect to those antennas, and because it is usually required to create a WiFi fingerprint database, which is a very time-consuming activity. The solutions set addresses three step in the WiFi signal samples database creation process: The campaign planning, the WiFi signal collection and the database construction and sharing. By the end of the process, the research community is provided with sets of geo-located points whose attributes include the signal intensities of the detected WiFi access points. The solutions set that we described in this paper can be extended to include campaigns focused on measuring other physical phenomena by using other sensors found in mobile devices.
2014
García-Martí, Irene; Torres-Sospedra, Joaquín; Rodríguez-Pupo, Luis Enrique
A comparative study on VGI and professional noise data Proceedings Article
In: Huerta-Guijarro, Joaquín; Schade, Sven; Granell-Canut, Carlos (Ed.): Connecting a Digital Europe through Location and Place. Proceedings of the AGILE'2014 International Conference on Geographic Information Science., AGILE Digital Editions, 2014, ISBN: 978-90-816960-4-3.
Abstract | Links | BibTeX | Tags: Citizen Science, crowdsourcing, environmental monitoring, Geographic Information, noise pollution, Smart Cities, VGI
@inproceedings{GarciaMarti2014,
title = {A comparative study on VGI and professional noise data},
author = { Irene García-Martí and Joaquín Torres-Sospedra and Luis Enrique Rodríguez-Pupo},
editor = {Joaquín Huerta-Guijarro and Sven Schade and Carlos Granell-Canut},
url = {http://repositori.uji.es/xmlui/handle/10234/98489},
isbn = {978-90-816960-4-3},
year = {2014},
date = {2014-01-01},
booktitle = {Connecting a Digital Europe through Location and Place. Proceedings of the AGILE'2014 International Conference on Geographic Information Science.},
publisher = {AGILE Digital Editions},
abstract = {The ubiquitous nature of mobile devices and its growing presence in urban areas, turn them up into low cost environmental monitoring platforms. In this field, several authors made different efforts to provide alternatives to Sensor Networks, to assess noise pollution in cities using crowdsourcing techniques. In this sense, citizens might potentially produce large spatio-temporal datasets using their mobile devices to measure noise levels. There are few attempts of assessing the quality of the mobile noise samples on a real scenario and compare them to commercial data to evaluate if they are reliable enough. This contribution reviews the existing applications to collect or assess the quality of noise samples when they are used as sound level meters. Moreover, it presents the results of our experiment: the volunteer noise dataset generated in a ‘mapping party' on our campus is compared to professional data. Results show that VGI data might be sufficient for multiple daily situations.},
keywords = {Citizen Science, crowdsourcing, environmental monitoring, Geographic Information, noise pollution, Smart Cities, VGI},
pubstate = {published},
tppubtype = {inproceedings}
}
The ubiquitous nature of mobile devices and its growing presence in urban areas, turn them up into low cost environmental monitoring platforms. In this field, several authors made different efforts to provide alternatives to Sensor Networks, to assess noise pollution in cities using crowdsourcing techniques. In this sense, citizens might potentially produce large spatio-temporal datasets using their mobile devices to measure noise levels. There are few attempts of assessing the quality of the mobile noise samples on a real scenario and compare them to commercial data to evaluate if they are reliable enough. This contribution reviews the existing applications to collect or assess the quality of noise samples when they are used as sound level meters. Moreover, it presents the results of our experiment: the volunteer noise dataset generated in a ‘mapping party' on our campus is compared to professional data. Results show that VGI data might be sufficient for multiple daily situations.
2013
Castellote, Jesús; Huerta-Guijarro, Joaquín; Pescador, Javier; Brown, Michael
Towns Conquer: A Gamified application to collect geographical names (vernacular names/toponyms). Proceedings Article
In: Agile 2013: 16th AGILE Conference on Geographic Information Science, Geographic Information Science at the Heart of Europe. Leuven, 14-17 May 2013, 2013.
Abstract | Links | BibTeX | Tags: Citizen Science, CIUDADES-SALUDABLES, crowdsourcing, Gamification, mobile GIS, VGI
@inproceedings{Castellote2013,
title = {Towns Conquer: A Gamified application to collect geographical names (vernacular names/toponyms).},
author = { Jesús Castellote and Joaquín Huerta-Guijarro and Javier Pescador and Michael Brown},
url = {http://hdl.handle.net/10234/159979},
year = {2013},
date = {2013-01-01},
booktitle = {Agile 2013: 16th AGILE Conference on Geographic Information Science, Geographic Information Science at the Heart of Europe. Leuven, 14-17 May 2013},
abstract = {The traditional model for geospatial crowd sourcing asks the public to use their free time collecting geospatial data for no obvious reward. This model has shown to work very well on projects such as Open Street Map, but comes with some clear disadvantages such as reliance on small communities of ‘Neo-geographers' and variability in quality and content of collected data. This project aims at tackling these problems by providing alternative motivation specifically a smartphone based computer game service. Geographical names (vernacular names/ toponyms) have been identified as potential targets as they are difficult to collect on a large scale and easy to collect locally, thus ideal for crowd sourcing. The data set will be a toponyms database provided by the Spanish National Geographic Institute (IGN Spain). A location based game is targeted as it is easy to guide data collection with in-game rewards (prizes, points, badges etc.). Android is chosen for its accessible API and wide use.},
keywords = {Citizen Science, CIUDADES-SALUDABLES, crowdsourcing, Gamification, mobile GIS, VGI},
pubstate = {published},
tppubtype = {inproceedings}
}
The traditional model for geospatial crowd sourcing asks the public to use their free time collecting geospatial data for no obvious reward. This model has shown to work very well on projects such as Open Street Map, but comes with some clear disadvantages such as reliance on small communities of ‘Neo-geographers' and variability in quality and content of collected data. This project aims at tackling these problems by providing alternative motivation specifically a smartphone based computer game service. Geographical names (vernacular names/ toponyms) have been identified as potential targets as they are difficult to collect on a large scale and easy to collect locally, thus ideal for crowd sourcing. The data set will be a toponyms database provided by the Spanish National Geographic Institute (IGN Spain). A location based game is targeted as it is easy to guide data collection with in-game rewards (prizes, points, badges etc.). Android is chosen for its accessible API and wide use.
2012
Díaz-Sánchez, Laura; Núñez-Redó, Manuela; González, David; Gil-Altaba, José; Aragó-Galindo, Pau; Pultar, Edward; Huerta-Guijarro, Joaquín
Interoperable Search Mechanisms for Web 2.0 Resources Journal Article
In: International Journal of Spatial Data Infrastructures Research, vol. 7, pp. 277–299, 2012, ISSN: 1725-0463.
Abstract | Links | BibTeX | Tags: Citizen Science, EUROGEOSS, Interoperability, Open Search, VGI, Web 2.0, Web Services
@article{DiazSanchez2012b,
title = {Interoperable Search Mechanisms for Web 2.0 Resources},
author = { Laura Díaz-Sánchez and Manuela Núñez-Redó and David González and José Gil-Altaba and Pau Aragó-Galindo and Edward Pultar and Joaquín Huerta-Guijarro},
url = {http://hdl.handle.net/10234/62495},
doi = {10.2902/},
issn = {1725-0463},
year = {2012},
date = {2012-01-01},
journal = {International Journal of Spatial Data Infrastructures Research},
volume = {7},
pages = {277--299},
abstract = {We are currently witnessing ordinary citizens willing to share geospatial information using friendly and easy-to use tools provided by Web 2.0 platforms. These platforms act as social networks describing events with large social impacts. Social networks are filled with volunteered information before, during, and after events that occur near human settlements and urban areas. The amount of this geolocated information is increasing due to the increase of location-aware devices that allow users in the field to share knowledge about an event's evolution and impact. In order to retrieve this information one interacts with the different search mechanisms provided by various Web 2.0 services. This paper explores how to improve the interoperability of these various Web 2.0 platforms by providing a single service as a unique entry. This paper demonstrates the utility of the Open Geospatial Consortium's Open Search Geospatial and Time specification as an interface for a service that searches, retrieves and aggregates information available in different Web 2.0 services. We present how this information is useful in complementing other official and scientific information sources by providing an alternative, contemporary source of information. We demonstrate this with a proof of concept presented in a forest fire scenario. The intrinsic interoperability of the system is reflected in the collaborations shown with different information systems such as those at the biodiversity and forestry units in the Institute of Environment and Sustainability at the Joint Research Centre.},
keywords = {Citizen Science, EUROGEOSS, Interoperability, Open Search, VGI, Web 2.0, Web Services},
pubstate = {published},
tppubtype = {article}
}
We are currently witnessing ordinary citizens willing to share geospatial information using friendly and easy-to use tools provided by Web 2.0 platforms. These platforms act as social networks describing events with large social impacts. Social networks are filled with volunteered information before, during, and after events that occur near human settlements and urban areas. The amount of this geolocated information is increasing due to the increase of location-aware devices that allow users in the field to share knowledge about an event's evolution and impact. In order to retrieve this information one interacts with the different search mechanisms provided by various Web 2.0 services. This paper explores how to improve the interoperability of these various Web 2.0 platforms by providing a single service as a unique entry. This paper demonstrates the utility of the Open Geospatial Consortium's Open Search Geospatial and Time specification as an interface for a service that searches, retrieves and aggregates information available in different Web 2.0 services. We present how this information is useful in complementing other official and scientific information sources by providing an alternative, contemporary source of information. We demonstrate this with a proof of concept presented in a forest fire scenario. The intrinsic interoperability of the system is reflected in the collaborations shown with different information systems such as those at the biodiversity and forestry units in the Institute of Environment and Sustainability at the Joint Research Centre.