基于GIS的实有人口数据挖掘与可视化分析研究

发布时间：2018-06-13 02:27

本文选题：实有人口 + 数据挖掘　；参考：《华东师范大学》2010年硕士论文

【摘要】： 随着我国经济社会的发展,城市中的外来人口、境外人员等非户籍人口的数量飞速增长,很大程度上给政府人口管理、城市配套服务建设、公安安保治理等,带来了巨大的压力和不同的挑战。人口之间的数据与关系变得复杂而难以预测,因此,在切实加强实有人口信息管理工作的基础上,如何通过数据挖掘发现实有人口之间的关系,进一步推进人口信息的高效管理与应用,是当前政府及相关部门面临的重要课题。为了应对政府与社会的实际需求,推进实有人口数据分析与可视化的研究工作,本论文面向实有人口数据挖掘及其结果的可视化模式开展研究：首先分析海量实有人口数据的特点,构建数据模型；其次探讨实有人口关系发现的评价指标,构造相应的评分规则；然后设计人口关系和发现结果的可视化表达模式；最后借助GIS软件平台,建立实有人口数据挖掘与可视化系统。围绕这些研究内容,本文进行了以下工作： (1)系统总结和分析了海量实有人口数据的特点,设计了实有人口五要素数据模型,以此为基础,探讨了用于实有人口关系发现的抽象评价指标,并针对评价指标建立了相应的评分规则； (2)基于实有人口数据模型,根据实有人口数据源特点,设计了基于五要素模型的实有人口数据库表结构； (3)通过研究分析、对比与实践,提出了“关系链”和“立方体”两种基于GIS的实有人口数据挖掘可视化模式,并按照各自的信息表达、模式特点,提出了可行的设计方案： (4)在J2EE环境下,采用Struts+ Spring+ Hibernate框架,借用GeoServer地图服务,利用存储过程等手段,设计了基于GIS的实有人口数据挖掘可视化系统,并开发实现了实有人口关系发现及其可视化功能。
[Abstract]:With the development of our country's economy and society, the number of non-resident population in cities, such as the foreign population and foreign personnel, has increased rapidly. To a large extent, it has given the government population management, the construction of supporting services for the city, the management of public security, and so on. It brings great pressure and different challenges. Data and relationships between populations become complex and difficult to predict. Therefore, on the basis of effectively strengthening the management of real population information, how to discover the relationships between real populations through data mining, To further promote the efficient management and application of population information is an important issue facing the government and related departments. In order to meet the actual needs of the government and society, and to promote the research of the analysis and visualization of real population data, This paper focuses on the visualization model of real population data mining and its results. Firstly, it analyzes the characteristics of massive real population data, constructs the data model, and then discusses the evaluation index of the discovery of real population relationship. The corresponding scoring rules are constructed, and then the visualization expression model of population relationship and discovery results is designed. Finally, a real population data mining and visualization system is established with the help of GIS software platform. Around these research contents, this paper has carried on the following work: (1) summarizes and analyzes the massive real population data characteristic systematically, designs the real population five factor data model, takes this as the foundation, This paper discusses the abstract evaluation index used in the discovery of real population relationship, and establishes the corresponding scoring rules for the evaluation index. (2) based on the real population data model, according to the characteristics of the real population data source, The structure of the real population database table based on the five-element model is designed. In this paper, two kinds of visualization models of "relation chain" and "cube" based on GIS are proposed. According to their information expression and pattern characteristics, the feasible design scheme is put forward, which is based on J2EE. By using Struts Spring hibernate framework, using GeoServer map service and using stored procedure, a real population data mining visualization system based on GIS is designed and realized.
【学位授予单位】：华东师范大学
【学位级别】：硕士
【学位授予年份】：2010
【分类号】：C924.2;P208

【引证文献】