Open Data for Environment Sensing: Crowdsourcing Geolocation Data

EAI Endorsed Transactions on Context-aware Systems and Applications

Hiep Huynh¹  Ngoan Trieu¹  Jean-François Dorville²  Zachary Williams³  Bernard Pottier⁴  Vincent Rodin⁴ 

[1] Can Tho University, Can Tho, Vietnam;The Caribbean Geophysical and Numerical Research Group, Baie-Mahault, Guadeloupe;University of The West Indies, Kingston, Jamaica;Université de Bretagne Occidentale, Brest, France;

关键词: open data;    web semantic;    environment sensing;    geolocation data;    and environmental simulation;   

DOI  :  10.4108/eai.12-5-2020.164496

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown