Extreme values geostatistics make it possible to model the asymptotic behaviors of random phenomena which depends on space or time parameters. In this paper, we propose new models of the extremal coefficient within a spatial stationary fields underlied by multivariate copulas. Some models of extensions of the extremogram and the cross-extremogram are constructed in a spatial framework. Moreover, both these two geostatistcal tools are modeled using the extremal variogram which characterizes the asymptotic stochastic behavior of the phenomena.

翻译：极端值的地理统计学使得有可能模拟取决于空间或时间参数的随机现象的无症状行为。 在本文中,我们提出了以多变量相交的多变量基底空间固定区内的极端系数新模型。 某些extremgraphy 扩展模型和 交叉extremgraphy 模型是在空间框架内构建的。 此外,这两种地球统计学工具都是使用该现象无症状的随机变异图建模的。