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Titlebook: Basic Steps in Geostatistics: The Variogram and Kriging; Margaret A. Oliver,Richard Webster Book 2015 The Author(s) 2015 Field sampling.Kr

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发表于 2025-3-21 19:48:36 | 显示全部楼层 |阅读模式
期刊全称Basic Steps in Geostatistics: The Variogram and Kriging
影响因子2023Margaret A. Oliver,Richard Webster
视频video
发行地址Takes readers through the essential steps in computing and modelling the variogram, which is often done in a black-box environment that does not lead to an understanding of the spatial variation.Short
学科分类SpringerBriefs in Agriculture
图书封面Titlebook: Basic Steps in Geostatistics: The Variogram and Kriging;  Margaret A. Oliver,Richard Webster Book 2015 The Author(s) 2015 Field sampling.Kr
影响因子This brief will provide a bridge in succinct form between the geostatistics textbooks and the computer manuals for `push-button‘ practice. It is becoming increasingly important for practitioners, especially neophytes, to understand what underlies modern geostatistics and the currently available software so that they can choose sensibly and draw correct conclusions from their analysis and mapping. The brief will contain some theory, but only that needed for practitioners to understand the essential steps in analyses. It will guide readers sequentially through the stages of properly designed sampling, exploratory data analysis, variography (computing the variogram and modelling it), followed by ordinary kriging and finally mapping kriged estimates and their errors. There will be short section on trend and universal kriging. Other types of kriging will be mentioned so that readers can delve further in the substantive literature to tackle more complex tasks.
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发表于 2025-3-21 21:56:34 | 显示全部楼层
发表于 2025-3-22 01:46:27 | 显示全部楼层
The Variogram and Modelling,ograms are usually computed by the method of moments at a sequence of lags, and one or more ‘authorized’ functions are fitted to them. A variogram may be computed along transects or on grids at regular intervals or in bins from irregularly scattered data. Accuracy of the variogram depends on the siz
发表于 2025-3-22 08:09:51 | 显示全部楼层
Geostatistical Prediction: Kriging,rediction error variances are minimized. It is in practice a weighted moving average in which the weights depend on the variogram and the configuration of the sample points within the neighbourhood of its targets. Ordinary kriging is by far the most popular method, partly because it is robust with r
发表于 2025-3-22 12:28:42 | 显示全部楼层
Sampling, is problematic because the spatial scale of variation is often unknown, yet there must be numerous pairs of sampling points within the correlation range, if it exists. One might determine the spatial scale from visible features such as landforms and vegetation on the ground or from remote sensing.
发表于 2025-3-22 15:44:38 | 显示全部楼层
Dealing with Trend,ly of a random variable. The assumption of stationarity no longer holds. An experimental variogram that increases with ever increasing gradient as the lag distance increases is usually symptomatic of trend. In these circumstances the process should be modelled as a combination of a deterministic tre
发表于 2025-3-22 18:13:45 | 显示全部楼层
Basic Steps in Geostatistics: The Variogram and Kriging
发表于 2025-3-23 00:23:25 | 显示全部楼层
发表于 2025-3-23 02:45:02 | 显示全部楼层
Jonathan C. Beard,Joshua Randall kriging are also illustrated. A solution for back-transformation to the original scale is given for lognormal kriging. Punctual kriging can be used to identify suitable variogram models from the diagnostic statistics of ‘leave-one-out’ cross-validation.
发表于 2025-3-23 08:12:29 | 显示全部楼层
Julian Kunkel,Jay Lofstead,Colin McMurtrieome tolerable kriging error is met but never exceeded. Alternatively, if the budget for sampling is set the kriging equations can be solved to determine the kriging errors everywhere within the region of interest and in particular the maximum absolute error.
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