Spatial And Temporal Behavior Analysis Of Tourists Based On Social Media Geographic Data Mining

The rapid development of mobile Internet technology and the widespread popularity of mobile terminal equipment,people's growing demand for spatial information services.The combination of spatial information services,wireless mobile services and social networking services resulted in massive social media geography data.Social media geography data as an important part of the era of large-scale geographic information,has its own unique nature,including space,time,semantics and other attribute information,data update speed,large amount of data,and user activities are closely related,rich information,So that compared with the traditional geographical data,contains a greater potential for development and application value.The user's long-term behavioral operation data can discover the user's behavior pattern,the cognitive user's preference,the real reproduction of the user's life trajectory in the real world,and help the cognitive user's behavior pattern;from the perspective of providing the location-User activities and travel to provide better awareness,but also can help operators to improve service levels and quality;the other hand,according to the user's attention to find the user concerned about the city hot spots,for different locations,different times the user travel needs Develop location-based services.For the government and society,these data are the real sampling of human activities.From these data can be analyzed a lot of meaningful information for the government to provide a basis for decision-making.Based on the characteristics of social media geography data,this paper makes a deep research and analysis on the acquisition,storage,processing and application of social media geography data from theoretical research and practical application.The research contents are concentrated in the following three aspects:1.Through the study of the theory of large number of positions and the study of the concept and characteristics of social media geography data,the method of obtaining the geographic data of social media is designed and implemented.Using API data access interface,using Java SDK development kit,The development platform design implements the method of crawling social media geography data.Taking the access data of social media geography data as an example,through the location service interface and location location dynamic interface in the microblogging API,the entry data of Shanghai guest source to Jiangsu and Zhejiang provinces above Grade A and above are obtained.2013 ~ 2015 in Jiangsu Province above the A-level area of the check-in data of 1,360,011 records,in Zhejiang Province above the A-level area of the check-in data reached 527,825 records.2.Secondly,according to the characteristics and data structure of social media geography data,this paper uses SQL Server database and ArcGIS geospatial database as the storage medium of data,and studies the method of connecting GeoDatabase to SQL Server database.In the process of data preprocessing,Studio 2010 development platform,the use of C # language prepared three check-in data preprocessing procedures,respectively,for the registration of data integration,the number of points on the attendance statistics and check-in time field analysis,to achieve rapid processing of mass check-in data;Finally,through the POIID Of the cleaning,POI category screening,the target data extraction,from 2013 to 2015 Shanghai tourists in Jiangsu Province above the A level area of the check-in data extraction volume: 59073 records,in Zhejiang Province above the A-level area of the sign data extraction : 33176 records.3.The application of the social media data to the mining of examples of mining analysis,respectively,from the time and space on the data mining analysis.From the time point of view,through the access to the check-in data to filter,after the statistics,respectively,2013 ~ 2015 Shanghai tourists to Jiangsu and Zhejiang provinces above the A-level scenic spots to visit the data of the interannual change characteristics of the characteristics of holiday changes Analysis and analysis of changes in holidays,weekends and working days.From the spatial point of view,the use of ArcGIS spatial analysis method,through the 2013 ~ 2015 Shanghai tourists to Jiangsu and Zhejiang provinces above the A-level scenic area travel 92279 records to do nuclear density analysis,to explore the Shanghai tourist source of interest in tourism This paper analyzes the characteristics of Shanghai Jiaoyuan in the Golden Week,small holiday and weekend,and provides the basis for the development of wisdom and wisdom tourism.