[Objective] This paper explores the spatio-temporal statistical characteristics of users’ visits to Web Map Tile Service (WMTS). [Methods] First, we identified the WMTS sessions and extracted the targets based on an efficient algorithm. Then, we studied the temporal features of user access sessions with daily session numbers, requests and duration of each session, as well as assess speed per tile. For spatial characteristics, we described the relationship between users’ locations and their access targets, such as provinces, cities, and distances. [Results] The users’ WMTS sessions possessed power-law distribution, and most of them were brief and efficient with clear objectives. Users from provinces with better information infrastructure tended to have more centralized and deeper WMTS sessions. Most of the WMTS sessions searched for targets within the same province or city, while 30% of the targets were within 43 km of the users’ city centers. [Limitations] The data was collected from users who access WMTS frequently, which needs to be expanded. [Conclusions] Describing users’ access characteristics from session granularity, helps us understand users’ geographical information needs.
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