本文關鍵詞：基于GIS的大學生心理特征區(qū)域性分布分析系統(tǒng)的研究與開發(fā)　出處：《西南交通大學》2014年碩士論文　論文類型：學位論文

  更多相關文章： ArcGIS ArcGIS Engine 空間自相關 心理特征區(qū)域性分布 地理信息系統(tǒng)

【摘要】：當前大學生心理健康教育工作得到了教育管理部門的高度重視,如何利用現(xiàn)代信息技術進行大學生心理特征歸類分析,掌握大學生的心理發(fā)展特征,有針對性地為大學生提供心理輔導,已經(jīng)成為高校心理健康教育工作的重要組成部分。本文基于心理測評、心理分析、區(qū)域地理文化分布及其相關統(tǒng)計數(shù)據(jù),將GIS技術應用于大學生心理特征區(qū)域性分布的分析和研究工作中,對大學生心理測評數(shù)據(jù)進行統(tǒng)計、分析并研究其分布規(guī)律,直觀地展示大學生心理特征區(qū)域性分布情況,有助于深層次地挖掘相關信息并有針對性地開展心理健康教育工作,能夠有效地提高心理測評的應用水平。 本文的主要研究內(nèi)容及成果如下： 1、分析論述了大學生心理測評方法,以及GIS技術應用中的關鍵問題。重點闡述了心理測量的理論依據(jù)及實現(xiàn)過程,詳細解釋了中國大學生人格量表的構(gòu)成、各維度涵義以及計分方法,研究了開發(fā)本系統(tǒng)涉及的GIS關鍵技術,重點論述了空間自相關分析理論及在ArcGIS中的實現(xiàn)。 2、在對系統(tǒng)需求分析的基礎上,進行了系統(tǒng)的總體設計和功能設計。詳細探討了基于GIS的大學生心理特征區(qū)域性分布分析系統(tǒng)的設計思路和實現(xiàn)方法。采用組件式GIS技術(ArcGIS Engine)、空間數(shù)據(jù)引擎技術(ArcSDE)、關系數(shù)據(jù)庫(SQLserver2005)技術和VC#高級編程語言,開發(fā)了基于GIS的大學生心理特征區(qū)域性分布分析系統(tǒng)。系統(tǒng)的主要功能模塊包括：心理測評指標模塊、心理量測模塊、統(tǒng)計分析模塊。 3、利用系統(tǒng)分析了2007—2013年某高校大學生心理測評數(shù)據(jù),驗證和展示了系統(tǒng)的主要功能。重點分析了中國大學生人格量表中活躍、爽直、處世、嚴謹、重情、隨和6個維度的城鄉(xiāng)差異。對各個維度的均值分布進行了分析,對具有顯著分布規(guī)律的活躍和爽直維兩個維度的分布趨勢進行展示,并進一步對其進行了空間自相關分析,得出一些有意義的結(jié)論。 最后,本論文對基于GIS的大學生心理特征區(qū)域性分布分析系統(tǒng)開發(fā)過程中的認識和經(jīng)驗進行了總結(jié),并展望了GIS在心理特征數(shù)據(jù)分析中的應用前景。
[Abstract]:At present, college students' mental health education has been attached great importance to by the educational management department. How to use modern information technology to classify and analyze the psychological characteristics of college students and grasp the psychological development characteristics of college students. Providing psychological guidance to college students has become an important part of mental health education in colleges and universities. This paper is based on psychological assessment, psychological analysis, regional geographical and cultural distribution and related statistical data. This paper applies GIS technology to the analysis and research of the regional distribution of college students' psychological characteristics, and makes statistics on the psychological assessment data of college students, and analyzes and studies its distribution law. Showing the regional distribution of college students' psychological characteristics directly is helpful to excavate the relevant information deeply and carry out the mental health education in a targeted way, and can effectively improve the application level of psychological assessment. The main contents and achievements of this paper are as follows: 1. This paper analyzes and discusses the psychological evaluation methods of college students and the key problems in the application of GIS technology, and focuses on the theoretical basis and realization process of psychological measurement. This paper explains in detail the constitution of the Chinese college students' personality scale, the meaning of each dimension and the scoring method, and studies the key technology of GIS involved in the development of this system. The theory of spatial autocorrelation analysis and its realization in ArcGIS are discussed in detail. 2, on the basis of system requirement analysis. The overall design and function design of the system are carried out. The design idea and implementation method of the regional distribution analysis system of college students' psychological characteristics based on GIS are discussed in detail. The component GIS technology is adopted (. ArcGIS engineer. Spatial data engine technology ArcSDE, relational database SQL server 2005) technology and VC# advanced programming language. The regional distribution analysis system of college students' psychological characteristics is developed based on GIS. The main function modules of the system include: psychological evaluation index module, psychological measurement module, and statistical analysis module. 3. The psychological evaluation data of college students from 2007 to 2013 are analyzed systematically, and the main functions of the system are verified and displayed. Life, rigorous, emotional, easy-going six dimensions of urban and rural differences. The mean distribution of each dimension was analyzed, and the distribution trend of active and straightforward dimensions with significant distribution law was demonstrated. Furthermore, the spatial autocorrelation analysis is carried out, and some meaningful conclusions are obtained. Finally, this paper summarizes the understanding and experience in the development of the regional distribution analysis system of college students' psychological characteristics based on GIS, and looks forward to the application prospect of GIS in the analysis of psychological characteristics data.
【學位授予單位】：西南交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP311.52;P208

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