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A Calculation Method On Space-time Behavior Of Microblog Users Based On Scenic Node-driven

Posted on:2019-02-20Degree:MasterType:Thesis
Country:ChinaCandidate:Y L LiuFull Text:PDF
GTID:2348330542461027Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
The development of the Internet has greatly expanded the traditional social means of human interaction and interaction mode,greatly reducing the social costs while attracting the injection and convergence of multi-level information.More and more users share experiences and photos through the Internet community,resulting in a large number of life-related user contributions.These data are complementary with traditional data in the sample coverage,fine space units,time scales and other aspects.Human beings' spatial-temporal behavior has always been the focus of geography research.It starts to change from the method of using traditional questionnaires and other information to acquire the research data through the use of new technologies such as the Internet.The Internet not only reflects the virtual relationship and connection between user groups,but also reflects the embodiment of regional entity activities in cyberspace.More and more scholars begin to make use of the data generated by these Internet users for academic research.In the paper,we first design the statistical indicators,concept definition,the relationship among statistical indicators according to the calculation target,and complete the database organization.Second,we design the calculation method of users' spatial-temporal behaviors.There are four main methods:(1)Using spatial-temporal feature method to classify the user data.(2)The calculation method of designing user's time behavior is based on the time scale mathematical statistics method,counting the time distribution characteristics of user data at different time scales and completing the user's time behavior calculation method.(3)The spatial and temporal distribution of users is calculated by using the kernel density method of spatial analysis in ArcGIS.The spatial distribution features of users are displayed by visual map,and the spatial distribution of users at different time is studied.(4)The user's path trajectory calculation method is realized.The user's trajectory is tracked by the tracing analysis tool in ArcGIS,and the trajectory distribution characteristics are statistically analyzed by using the xy to line method to explore the relationships among the nodes represented by the trajectory characteristics of the users.This paper takes Baidi City as an example to make an empirical study on the calculation method of spatial-temporal of users,including the spatial-temporal behavior characteristics of users in the scenic area and its spatial-temporal structure analysis;and spatial-temporal behavior characteristics of users in extension region of the scenic area,so as to obtain the spatial relationship between regions and spatial pattern.The results show that:(1)Empirical analysis of Baidi City shows that the users' spatial-temporal behavior indicators and calculation method are applicable and scientific in the study of spatial-temporal behavior of users.(2)This method can not only reflect the behavioral characteristics of group users in a specific geographic unit,but also represent the spatial relationship and spatial pattern between regions with users' behavior as a link.It provides a reference in the research ideas and methods for the study of users' spatial-temporal behavior and spatial relations.
Keywords/Search Tags:location microblog, space-time behavior, kernel density, tracking analyst, xy to line, Baidi City
PDF Full Text Request
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