The study of wildfire spread and the growth area burned is an important task in ecological studies other contexts. In this work we present a model for fire show results obtained from simulations areas. based on probabilities at different locations. Such are intensity function spatial point process fitted to observed pattern fires Valencian Community years 1993–2015. models, applied wildfires Sp...

Spatial models are used in a variety of research areas, such as environmental sciences, epidemiology, or physics. A common phenomenon spatial regression is confounding. This observed when spatially indexed covariates modeling the mean response correlated with random effect included model, for example, proxy unobserved confounders. As result, estimates coefficients can be severely biased and int...

Motivated by current interest in understanding statistical properties of random landscapes high-dimensional spaces, we consider a model the landscape $\mathbb{R}^N$ obtained superimposing $M>N$ plane waves wavevectors and amplitudes. For this show how to compute "annealed complexity" controlling asymptotic growth rate mean number stationary points as $N\to \infty$ at fixed ratio $\alpha=M/N>1$....

The thickness dependence of the critical current density Jc(d) in films due to the two-dimensional–three-dimensional (2D–3D) pinning crossover at low magnetic fields is addressed, taking into account the spatial correlation of pinning centres, the combined effect of bulk and surface pinning, and the effect of thermal fluctuations. The whole Jc(d) curve for both the 3D and 2D pinning regimes, an...

Relationships between species composition and its environmental determinants are a basic objective of ecology. Such relationships are scale dependent, and predictors of species composition typically include variables such as climate, topographic, historical legacies, land uses, human population levels, and random processes. Our objective was to quantify the effect of environmental determinants ...