Abstract
With the increasing development of the application of location services, massive check-in data is produced by social media applications on the mobile appliances, which includes characteristics of spatio-temporal information, user-emotion information, and etc. Traditional analysis techniques cannot handle check-in data well because of the complexity of spatio-temporal information. Spatial data warehouse provided a good architecture for spatial data’s storage and analysis. In this research, we designed a spatial data warehouse to store and manage the check-in data, used OLAP analysis technology to analyze it, and found many interesting results. It showed spatial data warehouse and OLAP provided a good frame to analyze check-in data.
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Zhou, L., Bao, M., Yang, N., Lao, Y., Zhang, Y., Tian, Y. (2013). Spatio-temporal Analysis of Weibo Check-in Data Based on Spatial Data Warehouse. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2013. Communications in Computer and Information Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41908-9_48
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DOI: https://doi.org/10.1007/978-3-642-41908-9_48
Publisher Name: Springer, Berlin, Heidelberg
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