casa 20(20): e4

Research Article

Open Data for Environment Sensing: Crowdsourcing Geolocation Data

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  • @ARTICLE{10.4108/eai.12-5-2020.164496,
        author={Ngoan Thanh Trieu and Zachary E. S. Williams and Jean-Fran\`{e}ois M. Dorville and Hiep Xuan Huynh and Vincent Rodin and Bernard Pottier},
        title={Open Data for Environment Sensing: Crowdsourcing Geolocation Data},
        journal={EAI Endorsed Transactions on Context-aware Systems and Applications},
        volume={7},
        number={20},
        publisher={EAI},
        journal_a={CASA},
        year={2020},
        month={5},
        keywords={Open Data, Web Semantic, Environment Sensing, Geolocation Data, And Environmental Simulation},
        doi={10.4108/eai.12-5-2020.164496}
    }
    
  • Ngoan Thanh Trieu
    Zachary E. S. Williams
    Jean-François M. Dorville
    Hiep Xuan Huynh
    Vincent Rodin
    Bernard Pottier
    Year: 2020
    Open Data for Environment Sensing: Crowdsourcing Geolocation Data
    CASA
    EAI
    DOI: 10.4108/eai.12-5-2020.164496
Ngoan Thanh Trieu1, Zachary E. S. Williams2, Jean-François M. Dorville3, Hiep Xuan Huynh1,*, Vincent Rodin4, Bernard Pottier4
  • 1: Can Tho University, Can Tho, Vietnam
  • 2: University of The West Indies, Kingston, Jamaica
  • 3: The Caribbean Geophysical and Numerical Research Group, Baie-Mahault, Guadeloupe
  • 4: Université de Bretagne Occidentale, Brest, France
*Contact email: hxhiep@ctu.edu.vn

Abstract

There are numerous situations where the digital representation of the environment appears critical for understanding and decision-making: threats on soils, water, seashores, risk of fires, pollutions are evident applications. If spatial cellular decomposition is evidence in the more common applications, there remains a large field for environment and activities modelling. The integration and composition of several information sources is perhaps the main difficulty with the need to deal with data interpretation and semantics inside concurrent simulators. Besides, the data on population, people's behaviours, people's perceptions are essential in environmental assessments, where the technical aspect is not counted as much as the common acceptance of impact technology. We provide a model for building environmental services with open data systems. A case study is given for getting information from the public about their relationship with freshwater and its scarcity in Jamaica.