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基于GIS的實有人口數(shù)據(jù)挖掘與可視化分析研究

發(fā)布時間:2018-06-13 02:27

  本文選題:實有人口 + 數(shù)據(jù)挖掘 ; 參考:《華東師范大學(xué)》2010年碩士論文


【摘要】: 隨著我國經(jīng)濟社會的發(fā)展,城市中的外來人口、境外人員等非戶籍人口的數(shù)量飛速增長,很大程度上給政府人口管理、城市配套服務(wù)建設(shè)、公安安保治理等,帶來了巨大的壓力和不同的挑戰(zhàn)。人口之間的數(shù)據(jù)與關(guān)系變得復(fù)雜而難以預(yù)測,因此,在切實加強實有人口信息管理工作的基礎(chǔ)上,如何通過數(shù)據(jù)挖掘發(fā)現(xiàn)實有人口之間的關(guān)系,進一步推進人口信息的高效管理與應(yīng)用,是當前政府及相關(guān)部門面臨的重要課題。 為了應(yīng)對政府與社會的實際需求,推進實有人口數(shù)據(jù)分析與可視化的研究工作,本論文面向?qū)嵱腥丝跀?shù)據(jù)挖掘及其結(jié)果的可視化模式開展研究:首先分析海量實有人口數(shù)據(jù)的特點,構(gòu)建數(shù)據(jù)模型;其次探討實有人口關(guān)系發(fā)現(xiàn)的評價指標,構(gòu)造相應(yīng)的評分規(guī)則;然后設(shè)計人口關(guān)系和發(fā)現(xiàn)結(jié)果的可視化表達模式;最后借助GIS軟件平臺,建立實有人口數(shù)據(jù)挖掘與可視化系統(tǒng)。圍繞這些研究內(nèi)容,本文進行了以下工作: (1)系統(tǒng)總結(jié)和分析了海量實有人口數(shù)據(jù)的特點,設(shè)計了實有人口五要素數(shù)據(jù)模型,以此為基礎(chǔ),探討了用于實有人口關(guān)系發(fā)現(xiàn)的抽象評價指標,并針對評價指標建立了相應(yīng)的評分規(guī)則; (2)基于實有人口數(shù)據(jù)模型,根據(jù)實有人口數(shù)據(jù)源特點,設(shè)計了基于五要素模型的實有人口數(shù)據(jù)庫表結(jié)構(gòu); (3)通過研究分析、對比與實踐,提出了“關(guān)系鏈”和“立方體”兩種基于GIS的實有人口數(shù)據(jù)挖掘可視化模式,并按照各自的信息表達、模式特點,提出了可行的設(shè)計方案: (4)在J2EE環(huán)境下,采用Struts+ Spring+ Hibernate框架,借用GeoServer地圖服務(wù),利用存儲過程等手段,設(shè)計了基于GIS的實有人口數(shù)據(jù)挖掘可視化系統(tǒng),并開發(fā)實現(xiàn)了實有人口關(guān)系發(fā)現(xiàn)及其可視化功能。
[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.
【學(xué)位授予單位】:華東師范大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2010
【分類號】:C924.2;P208

【引證文獻】

相關(guān)期刊論文 前1條

1 王長賓;趙書良;王春陽;;基于WebGIS的計生藥具數(shù)據(jù)挖掘系統(tǒng)[J];福建電腦;2012年02期

相關(guān)碩士學(xué)位論文 前1條

1 王長賓;基于WebGIS的計生藥具數(shù)據(jù)挖掘系統(tǒng)[D];河北師范大學(xué);2012年

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本文編號:2012249

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