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变异函数的英文

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"变异函数"怎么读用"变异函数"造句

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  • variogram

例句与用法

  • The structure analysis showed that its experimental semivariogram function was isotropic
    其经验半变异函数表现为各向同性。
  • Generally , the calculation of semi - variogram calls for data to conform to normal distribution , or it will cause proportion effects
    变异函数的计算一般要求数据符合正态分布,否则可能会使变异函数产生比例效应。
  • Spherical models , exponential models , gaussian models can be used to fit the semi - variogram . draft phenomena of available iron showed hole effect model
    变异函数可用球状模型、指数模型、高斯模型拟合,有效铁存在漂移现象,可用孔穴效应模型拟合。
  • The main contents are as follows : first , according the theory of random fields , the correlation distance is attained and the precision is compared and studied , as a result the precision meets the practice
    主要包括以下三方面内容:首先,根据随机场理论,通过变异函数求出某一场地的岩土参数随机场相关距离,并进行精度比较分析,精度能够满足要求。
  • In the course of simulation , the model has no relation to kriging method , it only use the matrix information of covariance or variogram . so it can conquer the disadvantage that kriging method smooth the geological parameters , and fit the numerical simulation for the geological parameters such as permeability whose values change quickly and largely . it can estimate the distribution of extra high value and extra low value of permeability more perfectly and more accurately , which the geologist and field engineer mainly care for
    在模拟过程中,克里金方法本身不与模型发生关系,它仅利用协方差或变异函数这个矩信息,这样就克服了克里金方法对参数的光滑效应,使得其适用于象渗透率这样变化幅度较大的地质参数的数值模拟,对地质专家和油藏工程师最关心的渗透率的特高值或特低值的分布情况预测更为全面、准确。
  • Through the above researches , such conclusions were drawn that in the course of fitting the semivariogram of the yearly annual mean rice water sensitivity index in yunnan , the fitting precision of ordinary kriging spherecial model is better than others ; range at the direction of 80 . 5 degree is outstanding than others ; as for the precision of interpolation , ordinary kriging spherecial model is higher than others
    研究表明:云南水稻多年平均水分敏感指标变异函数以普通克里金球状模型拟合最优、 80 . 5度方向变程最大、插值模型以普通克里金球状模型插值精度较高。
  • Four factors were proposed to assess the crowd degree of buildings based on the combination of high spatial resolution imagery and some fundamental principles including estate and geo - statistics methods . five typical communities in xiamen city were selected to demonstrate the application of those indices
    结合房地产估价理论和地统计学中的半变异函数方法,基于高分辨率遥感影像的特点创造性地构建了4个指标用来评价居住单元的建筑拥挤度,并选取了厦门市的5个典型居住单元对这些指标的可用性进行了检验。
  • This paper looks soil as homogeneous stationary random fields , expatiates the application of the random process in the geotechnical engineering and establishes the basic concept , its assortment and digital feature of random process and random fields , tests whether this random fields is a stationary process and whether it is ergodic , applies correlation function theory and variable function theory in the study of the random fields of soil parameter , acquires the relation of the two theories and draws the conclusion that they are equal essentially , fits the measured curve by using the correlation function method , variable function method and other methods , and acquires the value of correlation distance , applies the random fields theory of soil parameter in actual engineering , estimates the value of elevation and other soil parameters of 92 holes in baoding city and the results are satisfying
    将相关函数理论和变异函数理论分别应用于岩土参数随机场的研究中,通过运用这两种理论对岩土参数特性的描述,得出这两种理论的内在联系及其本质一致性的结论。分别运用相关函数法、变异函数法及其它求解相关距离的方法对实测函数曲线的拟合,得出描述空间相关程度的度量? ?相关距离(或变程) ,对用这几种不同方法得出的相关距离(或变程)值进行了比较,并对这几种方法的优劣和实用性做了评比。将岩土参数随机场理论运用于工程实际,对保定市区某场地的92个钻孔的各层位的层底标高及其它几种常见的岩土参数做出了估计,预测结果比较令人满意。
  • The analyst of isotropy indicated that the sample spots of 12 soil nutrient contents ( except total nitrogen ) were correlated in given spatial range . the semi - variogram values increased when the distances were enlarged , and nugget lied in , which meant the existence of spatial variability structure , and sample spots were correlated in the 50 - meter of sampling distance
    各向同性分析的结果表明: 12种(除全氮)土壤养分在一定的范围内观测值之间存在着空间相关性,变异函数( h )随间距增大而增大,且有基台值,说明存在空间变异结构特征,在50m的采样间距内存在空间相关性。
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