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机构地区:[1]南京师范大学虚拟地理环境教育部重点实验室,江苏南京210097
出 处:《地理与地理信息科学》2007年第1期31-35,共5页Geography and Geo-Information Science
基 金:国家自然科学基金项目"DEM地形分析的尺度效应与机理"(40571120)
摘 要:以实际采样的散点数据为原始数据,利用反距离权、样条函数、克里格、自然邻点内插、TIN内插5种内插方法生成规则格网DEM,并对其可视性分析结果进行对比分析和相关分析,揭示不同内插方法对可视性分析结果的影响规律和可视性分析对内插方法的敏感程度。结果表明,可视性分析对内插方法比较敏感,不同的内插方法会得到不同的可视性分析结果,其中相关程度最强的是样条函数内插和克里格内插、自然邻点内插和TIN内插。In this paper,the original data is scattered point data sets sampled on the real terrain, five kinds of different interpolation methods (Inverse Distance Weighted, Spline, Kriging, Natural Neighbor Interpolation, Triangulated Irregular Network) are used to generate regular grid DEM based on scattered point data;and then visibility analyses are performed using regular grid DEM;finally,the comparison and correlation analysis of viewsheds resulting from different interpolation methods are made, its purpose is to find the influencing rule of different interpolation methods on visibility analysis and the sensitive degree of visibility analysis to interpolation methods. The result shows visibility analysis is more sensitive to interpolation methods, the viewsheds resulting from different interpolation methods are different and the correlative degree of viewsheds resulting from Spline and Kriging, Natural Neighbor Interpolation and Triangulated Irregular Network are greatest.
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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