Research On Visual Analysis System Based On Microblog Check-in Data

In recent years,with the rapid development of mobile Internet technology and the rise of various mobile social applications,the social networking data related to geographic location is huge and complicated,and is increasing day by day.Among them,the massive trajectory data related to travel is messy due to the large amount of data,which leads to a series of problems such as large-scale data that is difficult to provide decision support,complex display form,and low utilization efficiency.These seemingly complicated and disorderly data,but actually contain data rich in spatio-temporal information,how to classify and visualize it to facilitate information acquisition and help analyze and make decisions are necessary and important.The combination of big data visualization technology and geographic information system technology is becoming a research hotspot of geographic data analysis and information mining.The problem of using WebGIS technology to construct online virtual geospatial information visualization platform has also received extensive attention.Taking the location big data of social network as an example,this paper uses information visualization,spatial data analysis method and GIS technology to design and implement WebGIS-based microblog sign-in data visualization analysis for data size and difficulty in visual expression.The system platform provides a visual analysis environment and tools for decision-making departments and relevant analysts and the general public,with a view to providing a total solution for travel information analysis extraction and visual presentation of results.The main work contents and research results of the thesis are as follows:First,relevant methods and technical analysis.Firstly,the basic principles of micro-blog data analysis methods such as nuclear density analysis,grid analysis and spatial clustering are introduced.Secondly,several information visualization techniques such as Echarts statistical map,hotspot map,cluster map and time axis are introduced.After that,the key technologies used in the construction of the system were explored.Finally,the preprocessing of the microblogging check-in data and the storage method of storing the geodata by using the SQL Server storage microblogging check-in data and the ArcGIS spatial database were discussed.Second,system design and implementation.Based on the system requirements analysis,overall design and detailed design,using the B/S architecture model,combined with the spatial analysis method provided by GIS,using ArcGIS API for JavaScript,ArcGIS Server service release and other key technologies,an integrated Echarts statistical chart was constructed.The analysis system of various visual aids and gadgets,such as hotspot map,cluster map,timeline,etc.,realizes graph statistics,clustering and hotspot analysis of microblog sign-in data,and initially realizes visual interaction mode to explore spatial characteristics of residents' activities.Regular goals.Third,visual analysis.From the four aspects of user group analysis,urban vitality analysis,heat analysis and POI sign-on analysis,real-time dynamic rendering,display and analysis of visualization results are realized,and five more practical user space time rules are summarized.The experimental results show that the microblog data visualization analysis system designed and developed in this paper has good practicability.