Evaluating Mobility Data for Recreation Monitoring
分析了四家商业供应商的移动设备位置数据在三个案例中的表现，发现时空模式不一致且与实地计数相关性差，据此提出误差来源的概念模型并讨论数据质量评估方法。
<h3>Abstract</h3> Mobile device location data (or mobility data, MD) are a novel and exciting source of information for recreational monitoring. In this paper we analyze datasets from four commercial vendors across three case studies to illustrate some important challenges. Our results show inconsistent spatial-temporal patterns and correlations with on-site counts. Given this evidence, we describe a conceptual model of the potential sources of error and structural variability in visitation estimates derived from MD. We discuss approaches for evaluation of data quality and suggest a range of supplemental data products that vendors could provide to support recreation analysis.