Abstract
Mobile device location data (or mobility data [MD]) are a novel and exciting source of information for recreational monitoring. 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.
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