搜索资源列表
R--kriging
- R语言 kriging 空间数据分析与R语言实践 第八章源代码-R kriging
Kriging
- kriging代理模型的应用,里面没有很多例子,以及各种说明,可以很好地学习-very good
Kriging
- 电离层计算中,用于kriging差值,具有很好的保真效果-Ionosphere calculations for kriging difference
kriging
- 用于地理空间插值的普通克里金方法。采取指数形式的变差函数。-Used in geographical spatial interpolation, ordinary kriging method.The form of index variation function.
kriging
- 利用MATLAB实现克里金插值和重心拉格朗日插值-Using MATLAB and center of gravity to achieve Kriging interpolation Lagrange
Kriging
- 克里格法(Kriging)是地统计学的主要内容之一,从统计意义上说,是从变量相关性和变异性出发,在有限区域内对区域化变量的取值进行无偏、最优估计的一种方法;从插值角度讲是对空间分布的数据求线性最优、无偏内插估计一种方法。-Kriging (Kriging) is one of the main geostatistics, statistically speaking, is the variable correlation and
kriging
- 包括基本的克里金(Kriging)插值法实现代码,仅实现基本方法部分,不包含扩展克里金方法- kriging uses ordinary kriging to interpolate a variable z measured at locations with the coordinates x and y at unsampled locations xi, yi. The function
A-Kriging-Metamodel-Assisted
- kriging based optimization
kriging
- kriging interpolation code
kriging
- 一种数据插值方法,kriging 的matlab实现-Data interpolation method,Kriging implementation of Matlab
kriging
- MATLAB克里金(Kriging)插值法又称空间自协方差最佳插值法,它是以南非矿业工程师D.G.Krige的名字命名的一种最优内插法。克里金法广泛地应用于地下水模拟、土壤制图等领域,是一种很有用的地质统计格网化方法。- MATLAB kriging (Kriging) interpolation method, also known as spatial autocorrelation covariance optimal int
kriging
- KRIGING算法进行插值-kriging method to solve problem
Kriging-DACE
- code of DACE code for kriging Thank you
kriging
- Java implementation of Kriging interpolation.
Kriging-2d-and-3d-contour
- c++实现克里金插值,绘制等值线,同时里面有opengl的配置环境,适合地球科学参考-c++ achieve Kriging, draw contours, while there are opengl configuration environment for Earth Science Reference
kriging
- 克里金插值是GIS空间分析中的最经典插值算法,本资源为开源java编写,保证可靠运行。-Kriging is a GIS spatial analysis of the most classic interpolation algorithm The resources for open source java prepared to ensure reliable operation.
kriging
- 克里金空间插值算法在matlab上的功能函数-kriging interpolation
Kriging
- 克里金插值法,可用于大数据的空间插值,可信度高-Kriging interpolation method can be used for spatial interpolation big data, high reliability
kriging-surrogate
- Kriging代理模型适用于设计变量和试验样本较多的数据,建立设计变量与数据结果之间的数据模型,可用作进一步的优化设计-Kriging model applies to multiple design variables and large samples of data , can be used for further optimizational design
(kriging)
- 克里金插值在地质反演中有着很重要的应用。构建不同的初始模型,不同的变程和变差函数反映不同的地质构型。-Kriging geological inversion has a very important application. Construction of different initial models, processes and different variants variogram reflect different geo