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Variograms and regression methods of their creation

机译:方差图及其创建的回归方法

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The role of interpolation methods in creation of the Digital elevation models (DEM) is an actual problem from theoretical and application aspect. Geo-statistical interpolation methods respect autocorrelation of input data, which is expressed by variogram function. The aim of this paper is to describe creation of variogram model functions and estimation of their parameters and also implementation of variogram to software Surfer for using Kriging interpolation method. The main contribution is creation of variogram function by parametric and nonparametric regression methods and their comparison. Kriging geo-statistical interpolation method, some types of variogram models and their properties are presented. The Least square method is used in estimation of regression functions by parametric regression method. The statistically analyzed results of four noted model functions were presented and used for implementation variogram model to software Surfer. Comparison of variograms created by parametric and nonparametric method demonstrated that nonparametric method respects input data more than model created by parametric regression, however in prediction of data the parametric regression methods are preferable.
机译:从理论和应用方面来看,插值方法在数字高程模型(DEM)创建中的作用是一个实际问题。地统计插值方法考虑了输入数据的自相关,这由变异函数表示。本文的目的是描述方差图模型函数的创建和参数估计,以及使用Kriging插值法对软件Surfer的方差图实现。主要贡献是通过参数和非参数回归方法创建了变异函数函数并进行了比较。介绍了克里格(Kriging)地统计插值方法,某些类型的变异函数模型及其性质。最小二乘方法用于通过参数回归方法估算回归函数。提出了四个主要模型函数的统计分析结果,并将其用于实现Surfer软件的变异函数模型。通过参数方法和非参数方法创建的变异函数的比较表明,非参数方法比通过参数回归创建的模型更重视输入数据,但是在数据预测中,参数回归方法更为可取。

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