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在智能手机广泛普及和互联网大数据大力运用的今天,分析景区照片的时空数据为智能旅游区建设提供了更丰富的参考依据。本文在讨论时空数据获取、地理标签可视化和GPS数据挖掘等关键技术研究现状后,提出一种用于估算景点游客人数的拍照行为模型,并用回归分析法分析由游客拍照历史和GPS轨迹组成的数据集,最终证明所提出的拍照行为模型与数据集相关。
Widely popularized in the smart phones and Internet big data today, the analysis of spatio-temporal data of photos for the intelligent tourism area provides a richer reference. After discussing the current research status of key technologies such as Spatial-temporal data acquisition, Geo-tagging visualization and GPS data mining, this paper proposes a photographing behavior model for estimating the number of tourists in scenic spots and analyzes the data composed of tourists’ photographing history and GPS trajectories using regression analysis Finally, it is proved that the model of photo-taking behavior is related to the data set.