kriging is a basic implementation of kriging, a method of interpolation using Gaussian process regression. kriging supports ordinary kriging and universal kriging (using a polynomial drift term), and ...

We evaluated the sensitivity of a habitat model and a source-sink population model to spatial uncertainty in landscapes with different statistical properties and for hypothetical species with ...

Unconditional simulation requires a mean frequency, p, and a variogram model, g (h). We adopted an exponential variogram with a range parameter fixed at 1000 m, nugget parameter q 1, and sill ...

Reservoir description based on geostatistics requires cross well constraints (such as high-quality seismic data) to predict the quality of cross well reservoirs that conform to geological laws.

Experimental variogram modelling is an essential process in geostatistics. The use of artificial intelligence (AI) is a new and advanced way of automating experimental variogram modelling. One part of ...

More old(er) models walked on the runways this season, marking a step in the right direction for age representation. By Elizabeth Paton Old(er) models on the runway at Chloé, Balmain and Miu Miu ...

Use a single, consistent set of variogram models functions (either skgstat, or xDEM) across the package #272 ...