Forming a global monitoring mechanism and a spatiotemporal performance model for geospatial services.

Geographic information service (GIService) has become popular in the last decade to develop applications for addressing global challenges. Performance is one of the most important criteria to help users select distributed online GIService for developing geospatial applications including natural hazards and

Sudden, urgent, usually unexpected occurrence or event requiring immediate action.
Note 1 to entry: An emergency is usually a disruption or condition that can often be anticipated or prepared for, but seldom exactly foreseen.

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responses. However, performance accuracy is limited by the single-location-based

Process of estimating the effectiveness, efficiency, utility and relevance of a service or facility.

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mechanism while service performance is dynamic in space and time between

Individual person who ultimately benefits from the outcomes of the system.

Note 1 to entry: The End-user can be a regular operator of the software product or a casual user such as a member of the public.

DRIVER+ Note 1: In the context of DRIVER+ End-user encompasses practitioners, solution providers and other stakeholders.

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and services. We propose a spatiotemporal performance Process of estimating the effectiveness, efficiency, utility and relevance of a service or facility.

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mechanism to improve the accuracy. Specially, a cloud and

Individual, who is not affiliated with an existing incident response organization or voluntary organization but who, without extensive preplanning, offers support to the response to, and recovery from, an incident.

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computing mechanism is proposed to collect performance information of globally distributed GIServices. A global spatiotemporal performance model is designed to integrate spatiotemporal dynamics for better performance evaluation for users from different regions at different times. This model is tested to support GIService selection in global spatial data infrastructures (SDIs). The

Purposive investigation of a system through selective adjustment of controllable conditions and allocation of resources.

DRIVER+ Note 1: Please consider also the notes in the original definition.
DRIVER+ Note 2: In the context of DRIVER+ Trials are executed - and not experiments.

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confirms that the proposed model provides more accurate evaluations for global users and better supports geospatial resource utilizations in SDIs than previous mechanisms. The methodology can be adopted to improve the services of other regional and global distributed operational systems. [ABSTRACT FROM AUTHOR]/nCopyright of International Journal of Geographical Information Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)