论文标题:基于样点地价空间统计分析的县级农用地定级估价研究
Spatial Analysis on Farmland Price Assisted Study on County Farmland Grading and Evaluation
论文作者
论文导师 王卫,论文学位 硕士,论文专业 自然地理学
论文单位 河北师范大学,点击次数 86,论文页数 60页File Size3248K
2007-04-15论文网 http://www.lw23.com/lunwen_22802602/
GIS ;;Farmland grading and Evaluation ;;Spatial Analysis;;Kriging Interpolation
农用地定级估价是国土资源部新一轮国土资源大调查中的重点工作之一,是贯彻落实《中华人民共和国土地管理法》的重要基础工作。农用地定级估价是以农用地资源作为研究对象,农用地定级是根据影响农用地质量的自然属性和社会经济属性,综合评定农用地优劣并划分等级的过程;估价是在农用地定级的基础上对其经济价值的量化和评估。 空间分析(Spatial Analysis)是基于地理对象位置和形态特征的空间数据分析技术,是一个空间知识发现和挖掘的过程。其理论的核心是“地理学第一定律”,即空间事物都是相互联系的,距离近的联系程度更紧密。Kriging插值是空间分析的重要组成,其基本思想是对已知样点数据通过拟合一个空间结构模型,以进行空间结构量化分析,从而对未知区域进行预测。 本文以GIS空间分析为研究手段,对农用地样点地价进行探索性空间分析(ESDA),通过Kriging插值,进行地价空间分布模拟,构建农用地定级指数地价模型。其与传统评价方法对比实用性和可操作性更强,为我国农用地定级估价研究提供了新的研究思路和方法。 文章创新之处表现在以下几个方面: (1)采用GIS探索性空间数据分析技术,对样点地价空间信息进行提取,改变了传统的样点地价统计分析方法,获得了更多的地价评估知识。 (2)通过样点地价空间结构与分布规律研究,采用Kriging插值,消除了样点个体随机的、偶然的小尺度管理水平差异,构建出的安平县农用地定级指数地价模型比传统评估方法更为科学实用,是一种简单、快捷的农用地估价方法。 (3)通过空间插值模拟的地价分布模型,为农用地地价空间结构与分布规律研究提供了一个直观的、可视化的分析手段;为建立定级指标体系及确定因素权重提供了良好的参考依据。
Farmland Grading and Evaluation is one of the key work in The Ministry of Land and Resource"s new round of land resources survey, and a foundation to implement the "Land Administration Law of the PRC". It takes the Farmland resources as the research object .The grading is a work considering all the natural and socio-economic attributes affect farmland, and dividing grades of farmland by synthetic quality difference. The valuation is a work evaluating farmland price on the basis of grading. Spatial Analysis is a technique which studies the geographic location and spatial distribution, and a process of Spatial Data Mining and Knowledge Discovery. The core theory is "the first law of geography", that is, all geographic objects are interrelated, and the degree of contact is associated with the distance. Kriging Interpolation, which is an important component of Spatial Analysis, is used to build a spatial model with sampling data and simulate the unknown area. Using GIS Spatial Analysis as an implement, this paper takes an Exploratory Spatial Data Analysis (ESDA) on farmland price. Simulating farmland price distribution by Kriging Interpolation, this paper builds Farmland Grading-price model. Compared with traditional methods, it is more practical and operable. It also provides a new way for our country’s farmland grading and Evaluation. The innovations of this paper are the followings: (1)Taking the GIS assisted ESDA techniques to extract spatial information on farmland price. We can change the traditional method of statistical analysis of farmland price study and acquire more price knowledge. (2) Through spatial distribution analysis and Kriging interpolation of farmland price, we can eliminate random and occasional small-scale differences in the farmland management. Compared with traditional methods, the new grading-Evaluation model is more practical and operable. (3) Kriging Interpolation and built farmland price model provide an intuitive and visual analysis tools for spatial distribution analysis of farmland price; and the model provided a good reference for building Farmland Grading Index System and determining factor weights
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