Acquisition And Analysis Of User’s Data In Network Geographic Information Application

User behavior data refers to the various operating data generated by user which in order to meet the demand of certain information on the Internet on demand expression, or access to and use information. Network geographic information applications data is mainly refers to the various operating data that directly or indirectly produced by the users when they use a variety of geographic information service platform location services from a variety of user behavior data under the environment of Internet. Currently, the user of various network geographic information applications has turned from the government, enterprises and institutions of higher learning in the elite to the general public, the number of users has been increasing in the format of geometric series, user scale has become the first core competitiveness in network applications, the deeper we understand the user, the more value we can create and the more core resources we can explore, we can conducive to reduce the blindness of geographic information service system construction by the way of exploring the user interest preference and cognitiving user behavior rule, so as improving the service of the initiative and pertinence, and understand the user is based on "data".Based on the analysis of a large number of literature and data at home and abroad which research users, this paper take a geographic information service platform and location service platform (position of Sina weibo) as the research object, studied theory and practice of network user behavior of the application of geographic information data acquisition and key technology.Paper’s main work is as follows:(1) According to user behavior in the network application of geographic information data sources, the user behavior data is divided into geographic information service platform in user behavior data and user behavior data in location services, and established the network based on geographical information application user behavior data acquisition and analysis in the research framework;(2) Based on the traditional technology of page tag and it’s function extension, we realized accessing the space location of resources type from the geographic information service platform, and space characteristic of the user behavior data, and we ues the pie chart, histogram, heat map visualization method and the similarity of users based on the characteristic vector analysis method to analyze user behavior data, probes into the platform in user activity and similarity problem;(3) Combine the API of location services and general web crawler technology, we design a crawl space strategy, which has realized from the location service platform (position of Sina weibo) users sign in information, and it can extract the user behavior data. Use the exploratory data to analyze user behavior data in location information service, and based on the user background data information mining, we discusses the new POI importance evaluation method.(4) Geographic information service platform is developed in user behavior data acquisition and analysis of the prototype system; Tourist attractions users sign in the data, for example, information mining, established a new classification system of scenic spots, "gender", "regional" and "time" influence on sites selection, finally the accuracy of the results of the analysis is verified by actual survey.