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Land Evaluation Supported by MDS

机译:MDS支持的土地评估

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摘要

GIS-MCE is the main method in land evaluation,but it is a linear method and neglects multidimensional complexity of factors used in land evaluation, which leads to information loss. Multidimensional scaling (MDS) originates from psychoanalysis, which is used to describe multidimensional data in higher dimensions by transforming data in higher dimensions into geometry structure in Lower dimensions. In the Land evaluation model supported by MDS, the data is transformed into a similar space and land evaluation is completed according to the spatial clustering based on the data's spatial similarity,which is a method drived by data and not dependenting on others priori assumption. Taking expropriation division in Xuzhou city as an example, it shows that the land evaluation based on MDS meets the requirements of land classification.
机译:GIS-MCE是土地评估中的主要方法,但它是一种线性方法,忽略了土地评估中使用的因素的多维复杂性,从而导致信息丢失。多维缩放(MDS)源自精神分析,用于通过将较高尺寸的数据转换为较低尺寸的几何结构来描述更高尺寸的多维数据。在MDS支持的土地评估模型中,将数据转换为类似的空间,并且根据数据的空间相似度根据空间聚类完成了地图评估,这是数据驱动的方法,而不是依赖于先验的方法。以徐州市征收征收师为例,它表明,基于MDS的土地评估符合土地分类的要求。

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