Summarization: The fractional Gaussian noise (fGn) and fractional Brownian motion (fBm) random field models have many applications in the environmental sciences. An issue of practical interest is the permissible range and the relations between different fractal exponents used to characterize these processes. Here we derive the bounds of the covariance exponent for fGn and the Hurst exponent for fBm based on the permissibility theorem by Bochner. We exploit the theoretical constraints on the spectral density to construct explicit two-point (covariance and structure) functions that are band-limited fractals with smooth cutoffs. Such functions are useful for modeling a gradual cutoff of power-law correlations. We also point out certain peculia...
A new stochastic fractal model based on a fractional Laplace equation is developed. Exact representa...
Power variograms of statistically isotropic or anisotropic fractal fields are weighted integrals of ...
This review first gives an overview on the concept of fractal geometry with definitions and explanat...
AbstractFractal Gaussian models have been widely used to represent the singular behavior of phenomen...
<p>Representation of the continuum of fractal processes, with: the two families of fractional Gaussi...
We discuss a family of random fields indexed by a parameter s ∈ R which we call the fractional Gauss...
International audienceFine regularity of stochastic processes is usually measured in a local way by ...
When investigating fractal phenomena, the following questions are fundamental for the applied resear...
We discuss a family of random fields indexed by a parameter s ∈ Rwhich we call the fractional Gaussi...
Many earth and environmental variables appear to be self-affine (monofractal) or multifractal with G...
Fine regularity of stochastic processes is usually measured in a local way by local Hölder...
A successful mathematical description of natural landscapes relies upon a class of random processes ...
We investigate numerically apparent multi-fractal behavior of samples from synthetically generated p...
In this work, we analyze two important stochastic processes, the fractional Brownian motion and frac...
A new stochastic fractal model based on a fractional Laplace equation is developed. Exact representa...
Power variograms of statistically isotropic or anisotropic fractal fields are weighted integrals of ...
This review first gives an overview on the concept of fractal geometry with definitions and explanat...
AbstractFractal Gaussian models have been widely used to represent the singular behavior of phenomen...
<p>Representation of the continuum of fractal processes, with: the two families of fractional Gaussi...
We discuss a family of random fields indexed by a parameter s ∈ R which we call the fractional Gauss...
International audienceFine regularity of stochastic processes is usually measured in a local way by ...
When investigating fractal phenomena, the following questions are fundamental for the applied resear...
We discuss a family of random fields indexed by a parameter s ∈ Rwhich we call the fractional Gaussi...
Many earth and environmental variables appear to be self-affine (monofractal) or multifractal with G...
Fine regularity of stochastic processes is usually measured in a local way by local Hölder...
A successful mathematical description of natural landscapes relies upon a class of random processes ...
We investigate numerically apparent multi-fractal behavior of samples from synthetically generated p...
In this work, we analyze two important stochastic processes, the fractional Brownian motion and frac...
A new stochastic fractal model based on a fractional Laplace equation is developed. Exact representa...
Power variograms of statistically isotropic or anisotropic fractal fields are weighted integrals of ...
This review first gives an overview on the concept of fractal geometry with definitions and explanat...