Recall that the goal of this example is spatial prediction. In particular, you would like to produce a contour map or surface plot on a regular grid of predicted values based on ordinary kriging.

Understanding the spatial variability of precipitation is essential for water resource management and climate adaptation, especially in arid and semi-arid regions with strong spatiotemporal ...

Spatial autocorrelation in the residuals of spatial environmental models can be due to missing covariate information. In many cases, this spatial autocorrelation can be accounted for by using ...

Avon, February 11th, 2014 – Geovariances announces the launching of Isatis Vario Pack, a new package of Isatis, its comprehensive software solution for geostatistics. Isatis Vario Pack is meant for ...