With new chapters addressing spatial patterning in single variables and spatial relations,
this second edition provides guidance to a wide variety of real-world problems. Focusing on …

This study examines the development trajectory and current trends of three-dimensional
(3D) geological modelling. In recent years, due to the rising global energy demand and the …

Geological deposits display nonlinear features such as veins, channels or folds that result in
complex spatial anisotropies that are difficult to model with currently available geostatistical …

Small scale rainfall variability is a key factor driving runoff response in fast responding
systems, such as mountainous, urban and arid catchments. In this paper, the spatial …

Traditional isosurface extraction methods for a single geological interface is complex and
inefficient when it comes to the surface reconstruction of multi-region geological bodies. In …

Geostatistical methods are widely used in almost all geoscientific disciplines, ie for
interpolation, re-scaling, data assimilation or modelling. At its core geostatistics aims to …

In this paper we present a non-stationary stochastic generator for radar rainfall fields based
on the short-space Fourier transform (SSFT). The statistical properties of rainfall fields often …

Geologists and geophysicists often approach the study of the Earth using different and
complementary perspectives. To simplify, geologists like to define and study objects and …

Abstract Changes in primary cover for agricultural crops in Amazonas region influence the
phenomenon of spatial variability in soil properties. This phenomenon is still studied …

Effective assessments of air-pollution exposure depend on the ability to accurately predict
pollutant concentrations at unmonitored locations, which can be achieved through spatial …