![]() ![]() This gateway software (that we have named HydroGate) is a CGI based REST web service that takes input via HTTP methods then transmits commands to the HPC system using SSH. To address these challenges, we have developed a gateway to HPC storage and com-putational resources. The methodology can be adopted to improve the services of other regional and global distributed operational systems.Įnvironmental researchers, modelers, water managers, and users often require access to high-performance computing (HPC) resources for running data and computationally intensive models without being an HPC expert. The experiment confirms that the proposed model provides more accurate evaluations for global users and better supports geospatial resource utilizations in SDIs than previous mechanisms. This model is tested to support GIService selection in global spatial data infrastructures (SDIs). A global spatiotemporal performance model is designed to integrate spatiotemporal dynamics for better performance evaluation for users from different regions at different times. Specially, a cloud and volunteer computing mechanism is proposed to collect performance information of globally distributed GIServices. We propose a spatiotemporal performance evaluation mechanism to improve the accuracy. However, performance accuracy is limited by the single-location-based evaluation mechanism while service performance is dynamic in space and time between end-users and services. Performance is one of the most important criteria to help users select distributed online GIService for developing geospatial applications including natural hazards and emergency responses. Geographic information service (GIService) has become popular in the last decade to develop applications for addressing global challenges. ![]() ![]() Data Quality DWG, OGC/TC, Nottingham, U.K. (2015) DQ in the citizen science project COBWEB: extending the standards. (2014) A flexible framework for assessing the quality of crowdsourced data. The paper concludes on the usability and usefulness of the COBWEB quality assurance approach. Focusing on the species occurrence from the citizen’s observations, the paper describes the design steps of the QA workflow process and presents quantitative and qualitative results of data quality as compared to additional ground truth. The paper describes the practical use of this quality assurance system for an invasive species citizen science study concerning the Japanese knotweed carried-out in the Snowdonian National Park in Wales. Computed and evolving through the workflow the quality element values constitute the metadata on spatial data quality. Three complementary quality models are used (i) the producer model using ISO19157, (ii) the consumer model using GeoViQUA and (iii) a stakeholder model to qualify the volunteer with quality metrics such as vagueness, reliability and trust (Leibovici et al. Each pillar is focusing on a specific dimension of qualifying the captured data and therefore on the type of reasoning algorithms to set the values of a range of quality elements. The approach is based on workflow composition combining different quality controls belonging to 7 categories or “pillars” (Meek et al. Towards this flexibility, the quality assurance system is proposing to the stakeholder designing the survey, to also design the quality assurance process. Besides the goal of empowering citizens in biosphere reserves towards contributing to environmental policy, COBWEB focuses on the generic software infrastructure needed to support a range of environmental issues: biological monitoring and earth observation validation. COBWEB is one of five EU FP7 funded citizen observatories projects. ![]()
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