Ciudades Saludables
Short Description
This project develops, tests and deploys the Healthy Cities information system comprised of efficient and interoperable backend services beyond today’s search engines, and intelligent frontend or client-based services beyond complex user interfaces and adapting new participatory tools and mobile devices. The system will provide access, fusion, integration and data correlation so that key information can be more readily available for just-in-time services and change detection and pattern and complex events recognition. The data to support this system come from both top-down official sources and bottom-up crowdsourced data. The system is designed to exploit these data and to offer tools to generate information to help make urban living healthier. Case studies and demonstrations for the project include major urban and environment impacts on health.
Publications
Ramos-Romero, Francisco; Monfort-Muriach, Aida; Huerta-Guijarro, JoaquÃn
A Location Aware Mobile Tool for Direct and Indirect Climate Data Sensors Journal Article
In: Transactions in GIS, vol. 18, no. 3, pp. 385-400, 2014, ISSN: 1361-1682, (IF: 1.398, Q2).
@article{RamosRomero2014,
title = {A Location Aware Mobile Tool for Direct and Indirect Climate Data Sensors},
author = { Francisco Ramos-Romero and Aida Monfort-Muriach and JoaquÃn Huerta-Guijarro},
url = {http://hdl.handle.net/10234/125826},
doi = {10.1111/tgis.12097},
issn = {1361-1682},
year = {2014},
date = {2014-01-01},
journal = {Transactions in GIS},
volume = {18},
number = {3},
pages = {385-400},
abstract = {Access to GIS data from mobile platforms continues to be a challenge and there is a wide range of fields where it is extremely useful. In this work, we combined three key aspects: climate data sensors, mobile platforms and spatial proximity operations. We published and made use of a web 2.0 network of climate data, where content is user-collected, by means of their meteorological stations, and exposed as available information for the virtual community. Moreover, we enriched this data by giving the users the opportunity to directly inform the system with different climate measures. In general, management of this type of information from a mobile application could result in an important decision tool, as it enables us to provide climate-related data according to a context and a geographical location. Therefore, we implemented a native mobile application for iPhone and iPad platforms by using ArcGIS SDK for iOS and by integrating a series of ArcGIS webmaps, which allows us to perform geospatial queries based on the user's location, offering, at the same time, access to all the data provided by the climate data sensor network and from direct users.},
note = {IF: 1.398, Q2},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Access to GIS data from mobile platforms continues to be a challenge and there is a wide range of fields where it is extremely useful. In this work, we combined three key aspects: climate data sensors, mobile platforms and spatial proximity operations. We published and made use of a web 2.0 network of climate data, where content is user-collected, by means of their meteorological stations, and exposed as available information for the virtual community. Moreover, we enriched this data by giving the users the opportunity to directly inform the system with different climate measures. In general, management of this type of information from a mobile application could result in an important decision tool, as it enables us to provide climate-related data according to a context and a geographical location. Therefore, we implemented a native mobile application for iPhone and iPad platforms by using ArcGIS SDK for iOS and by integrating a series of ArcGIS webmaps, which allows us to perform geospatial queries based on the user's location, offering, at the same time, access to all the data provided by the climate data sensor network and from direct users.
IP / Technical contact:Â JoaquÃn Huerta (huerta@uji.es)