Large scale rainfall models are needed for collective risk estimation in flood insurance,
infrastructure networks and water resource management applications. There is a lack of …

Brown–Resnick processes form a flexible class of stationary max-stable processes based on
Gaussian random fields. With regard to applications, fast and accurate simulation of these …

Although cokriging in theory should yield smaller or equal prediction variance than kriging,
this outperformance sometimes is hard to see in practice. This should motivate theoretical …

We consider a dependent thinning of a regular point process with the aim of obtaining
aggregation on the large scale and regularity on the small scale in the resulting target point …

Complex systems of moving and interacting objects are ubiquitous in the natural and social
sciences. Predicting their behaviour often requires models that mimic these systems with …

Abstract Thorson, JT, Stewart, IJ, and Punt, AE 2012. Development and application of an
agent-based model to evaluate methods for estimating relative abundance indices for …

Deep seepage estimation is important for water balance investigations of groundwater and
the vadose zone. A simplified Buckingham-Darcy method to assess time series of deep …

Soil contamination by heavy metals is an important problem in many countries. As a first step
in mitigating the related health risks, one has to delineate zones where metal concentrations …

Limitations in data quantity and quality are common in fisheries management and affect
whether and how stock assessments are carried out. We demonstrate the applicability of …

In this article we propose a novel framework for the modelling of non-stationary multivariate
lattice processes. Our approach extends the locally stationary wavelet paradigm into the …