使用期限*
许可形式单机和网络版
原产地美国
介质下载
适用平台windows
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In Jackknife analyses interpolation estimates are compared against measured values for a set of locations different from those used as input data.
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GS+使您可以完全控制变差函数参数,如主动滞后距离和个体滞后类的大小。默认值提供了合理的起点,您可以优化分析以适应特定的数据集。
自动创建变差函数模型---可以自动创建kriging模型,大程度地使用迭代技术来优化您的数据,以优化良好的模型拟合。模型窗口允许您覆盖GS+选择的值,滑动条控件允许您立即看到更改的结果。GS+为几乎所有的kriging应用程序提供足够的模型。
由于数据异常,变差函数有时是不规则的---当它们是的值时,它们就会变得很明显,而不是与其他值在特定的范围内自动关联。GS+提供了h散射图和方差云分析,使您能够快速地可视化和识别异常值,并且新的掩饰命令允许您像手术一样移除(暂时或地)违规数据记录。定向变异(各向)函数是同时产生的各向同性的变量,所以您可以很*地评估自相关是否依赖于罗盘的方向。例如,当存在一个斜率效应或其他环境特征时,在一个方向上的自相关与另一个方向的自相关是不同的。
在不同的罗盘方向上创建不同的半方差图,可以很*地识别出GS+的各向。如果存在,您可以很*地定义一个大变化的角度来使用各向变量模型。
![gs+软件培训](//l.b2b168.com/2021/05/14/16/202105141648287237404.jpg)
Since its introduction in 1988, geostatistics has been at the heart of GS . Many of our users have access to other geostatistics tools within their favorite GIS or mapping programs but come to GS for their serious geostatistical analyses, especially for exploring geostatistical relationships within data sets. GS output is compatible with industry standards and can be used directly with many other programs. It can also be used as a standalone program. GS has its own data worksheet (which accepts MicroSoft Excel, Access, and other types of data files) and produces its own maps for those users who are not working with other mapping programs.
![gs+软件培训](//l.b2b168.com/2021/05/14/16/202105141648284537904.jpg)
What is geostatistics?
Geostatistics is a class of statistical techniques developed to analyze and predict spatial values of a property. It begins with a type of autocorrelation analysis called variography or semivariance analysis, in which the degree of spatial self-similarity is displayed as a variogram. A curve is fit to the variogram, and the equation that describes the curve - called the variogram model - is used to predict unsampled locations by kriging or conditional simulation. This produces optimal unbiased estimates of the property across the entire spatial domain. The same analysis can also be performed with one-dimensional data such as time, for example hourly or daily measures of some property, to provide optimal interpolations and error terms along a time line.
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