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With the continued popularity of location services and the application of Internet of Vehicles, the location big data of outdoor activities which is composed of geographical data, vehicle track and application record and so on has used to obtain the perception of the law of human social activities at present. Based on trajectory pretreatment and clustering, this paper proposes a collaborative mining algorithm of the special location based on the dimension reduction of the location big data of outdoor activities, to carry out dimension reduction analysis on the location complex network on the temporal and spatial scales respectively, so as to establish the study and inference method related to the mobility of the community as a whole. Experiments show that this algorithm can effectively extract the regular route of the user, and can enhance the awareness of people to the broader economic activity of the human society and natural environment, so as to reflect the true value of the location big data of outdoor activities.

Collaborative Mining Method for Location Big Data of Outdoor Activities