基于GIS的区域房地产项目空间分析与策划
发布时间:2018-03-03 04:29
本文选题:房地产 切入点:前期策划 出处:《中国地质大学(北京)》2014年博士论文 论文类型:学位论文
【摘要】:随着中国经济的进步和社会的发展,房地产市场发展迅速,竞争日益激烈。在房地产开发活动中,,前期策划是房地产开发和经营活动的基础,房地产前期策划方案将在很大程度上影响到房产投资收益。本文以大量房地产开发和前期策划经验和数据作为分析依据,采用多元回归分析方法对相关数据的时间序列以及空间特征进行了数理统计分析,并用GIS空间统计分析方法,建立基于GIS的房地产前期策划模型,使得GIS的应用领域得到了更大范围的扩充。本论文研究的内容为: (1)首先探讨了房地产前期策划的主要内容。在此基础上,提出区域房地产策划的研究思路、方法及框架。以GIS为操作平台,研究房地产前期策划相关数据并进行分析处理,提出了基于GIS空间分析为基础的区域房地产项目策划模型。并对此模型展开综合分析和评价,证明模型具有实用性和可信度。 (2)建立了区域房地产前期策划的相关理论模型。在此基础上开展了空间统计分析,合理选择了样本以及建模变量,同时还包括变量的集中化和均衡度分析。将区域经济统计分析模型与GIS相结合,利用GIS空间分析功能、交互功能与可视化功能,实现区域房地产经济分布利用模型。从多角度进行分析,为区域房地产经济的统计分析及区域房地产投资决策提供了有效的方法。 (3)进行了房地产选定策划区域区划研究。根据策划空间的区划、空间统计方法、GIS选址方法分析出的结果以及模型选取等一系列研究,从而选取可策划空间最大的常州清水湾项目作为策划与模拟案例进行分析研究。依托GIS的空间分析和处理能力,对宏观环境、项目情况调查分析,最后通过科学的预测方法得出结论:项目所处地理环境位置内房地产需求有上升趋势、该项目具有获利空间。 (4)提出基于Web Services的前期策划辅助系统平台的架构。以微软公司的MicrosoftVisualStudio2010软件作为开发工具,采用WebGIS体系结构、Web Services模型和协议栈(Protocol Stack)等数据技术,结合常州市案例,将信息共享、发布等功能在ArcGISServer GIS应用的平台上得到了充分实现。同时利用ArcGIS for Desktop软件实现了空间数据采集和处理、数据存储、空间统计分析等功能,运用C#语言进行ArcGIS Engine9.3二次开发组件库的开发和设计,最终实现了房地产信息的实时对外动态发布与共享。
[Abstract]:With the development of China's economy and society, the real estate market is developing rapidly and the competition is increasingly fierce. In the real estate development activities, early planning is the foundation of the real estate development and management activities. The real estate pre-planning scheme will affect the real estate investment income to a great extent. This paper takes a large number of real estate development and pre-planning experience and data as the analysis basis. The multivariate regression analysis method is used to analyze the time series and spatial characteristics of the related data, and the GIS spatial statistical analysis method is used to establish the real estate pre-planning model based on GIS. The application field of GIS has been expanded in a larger scope. The contents of this thesis are as follows:. On the basis of this, the research ideas, methods and framework of regional real estate planning are put forward. Based on GIS, the related data of real estate preplanning are studied and analyzed. The regional real estate project planning model based on GIS spatial analysis is put forward, and the model is analyzed and evaluated synthetically. It is proved that the model is practical and reliable. (2) the relevant theoretical model of regional real estate pre-planning is established. On this basis, the spatial statistical analysis is carried out, and the samples and modeling variables are reasonably selected. At the same time, it also includes the centralization of variables and the analysis of equilibrium degree. The regional economic statistical analysis model is combined with GIS, and the GIS spatial analysis function, interactive function and visualization function are used. The model of distribution and utilization of regional real estate economy is realized and analyzed from many angles, which provides an effective method for the statistical analysis of regional real estate economy and the decision of regional real estate investment. According to the zoning of planning space, spatial statistics method and GIS location method, a series of studies are carried out, such as the selection of model, and so on. Therefore, the Changzhou Qingshuiwan Project, which has the largest planning space, is selected as a case study of planning and simulation. Based on the spatial analysis and processing ability of GIS, the macro environment and project situation are investigated and analyzed. Finally, the conclusion is drawn by scientific prediction method: the demand for real estate in the geographical environment of the project is on the rise, and the project has profit space. (4) the framework of the auxiliary system platform for early planning based on Web Services is put forward. With the MicrosoftVisualStudio2010 software of Microsoft Company as the development tool, the data technology such as WebGIS architecture, WebGIS Services model and protocol stack are adopted, and the information is shared with the case of Changzhou City. At the same time, the functions of spatial data acquisition and processing, data storage, spatial statistical analysis and so on are realized by using ArcGIS for Desktop software. The component library of ArcGIS Engine9.3 secondary development is developed and designed by using C # language, and the real estate information is released and shared dynamically.
【学位授予单位】:中国地质大学(北京)
【学位级别】:博士
【学位授予年份】:2014
【分类号】:P208;F299.23
【参考文献】
相关期刊论文 前9条
1 况代智;杨琳珩;;BP神经网络法在房产估价中的应用[J];泉州师范学院学报;2006年06期
2 赵文武,东野光亮,张银辉,贾炳浩;“3S”技术集成及其应用研究进展[J];山东农业大学学报(自然科学版);2001年02期
3 严金海;;中国的房价与地价:理论、实证和政策分析[J];数量经济技术经济研究;2006年01期
4 吴玉鸣;;空间计量经济模型在省域研发与创新中的应用研究[J];数量经济技术经济研究;2006年05期
5 段忠东;;房地产价格与通货膨胀、产出的关系——理论分析与基于中国数据的实证检验[J];数量经济技术经济研究;2007年12期
6 唐志军;徐会军;巴曙松;;中国房地产市场波动对宏观经济波动的影响研究[J];统计研究;2010年02期
7 陈浪南;王鹤;;我国房地产价格区域互动的实证研究[J];统计研究;2012年07期
8 高苛;刘长滨;;基于预期理论的住宅市场价格调控模型及其仿真分析[J];土木工程学报;2008年04期
9 赵华平;张所地;吉迎东;;动态地理信息系统的构建及其在地产评估中的应用[J];太原科技大学学报;2006年03期
相关博士学位论文 前2条
1 杨光;基于房地产市场信息系统的住宅供地分析方法研究[D];同济大学;2008年
2 赵华平;城市房地产空间预期评估研究[D];山西财经大学;2013年
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