Quality Assessment and Accessibility Applications of Crowdsourced Geospatial Data: A Report on the Development and Extension of the George Mason University Geocrowdsourcing Testbed
Quality Assessment and Accessibility Applications of Crowdsourced Geospatial Data: A Report on the Development and Extension of the George Mason University Geocrowdsourcing Testbed
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众包地理空间数据的质量评估和可访问性应用：关于乔治梅森大学地理众包测试台的开发和扩展的报告
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Richard M. Medina
中科院分区：
文献类型：
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作者：
Matthew T. Rice;Fabiana I. Paez;Rebecca M. Rice;Eric Ong;Han Qin;Christopher R Seitz;J. Fayne;Kevin M. Curtin;S. Fuhrmann;D. Pfoser;Richard M. Medina
Abstract : This report documents research efforts in quality assessment, recruitment, training, and application extensions of the George Mason University (GMU) Geocrowdsourcing Testbed. The testbed is designed to capture, evaluate, and utilize crowdsourced geospatial data associated with transient obstacles and navigation hazards in the region surrounding the GMU campus in Fairfax, Virginia. We present our quality assessment research based on best practices, and discuss its deployment within our system. We present our training and recruitment program and discuss its future directions and future efforts to recruit and train participants, and finally, extensions of our testbed in accessible routing and visualization.
