易达到
发表于 2025-3-25 07:24:27
Fabio Corno,Richa Lal,Stefano ColomboCharacteristic of geostatistics and other stochastic methods is the ability to assign confidence intervals to the estimates. The confidence intervals are derived from cumulative distributions of random functions.
hedonic
发表于 2025-3-25 10:37:05
http://reply.papertrans.cn/39/3842/384108/384108_22.png
激励
发表于 2025-3-25 12:22:29
Tax and Management Company Structuring,Simple, ordinary, and universal kriging are not multivariate models in the usual statistical sense of the term. Despite the fact that they employ a random function model comprising an infinite number of random variables, they are all used for the modeling of a single attribute.
世俗
发表于 2025-3-25 16:26:37
http://reply.papertrans.cn/39/3842/384108/384108_24.png
向宇宙
发表于 2025-3-25 20:11:17
The Semivariogram,Three good reasons may be cited to explain why the semivariogram is important in geostatistics:
性学院
发表于 2025-3-26 03:43:17
http://reply.papertrans.cn/39/3842/384108/384108_26.png
fledged
发表于 2025-3-26 04:24:07
Drift and Residuals,In Chapter 6, we have formulated universal kriging for the modeling of an attribute with a systematic trend. In some instances, however, the characteristic of interest is the trend itself rather than the attribute or, even more commonly, it is the residuals resulting from subtracting the drift from the kriging modeling of the attribute.
Pessary
发表于 2025-3-26 12:29:49
Stochastic Simulation,If one analyzes a regular grid of kriging estimates for a spatial attribute such as that shown in Figure 9.1, one finds that there is an uneven smoothing in the grid of estimates—smoothing that is inversely proportional to the data density. Such distortion can be visualized in several ways:
APRON
发表于 2025-3-26 16:30:04
http://reply.papertrans.cn/39/3842/384108/384108_29.png
种族被根除
发表于 2025-3-26 20:52:13
Cumulative Distribution Estimators,In the previous chapter we have seen different ways to generate cumulative distributions, including a method based on the kriging estimate, when the assumption of multinormality is accepted.