Spatial Process Generation

Abstract

The generation of random spatial data on a computer is an important tool for understanding the behavior of spatial processes. In this paper we describe how to generate realizations from the main types of spatial processes, including Gaussian and Markov random fields, point processes, spatial Wiener processes, and Levy fields. Concrete MATLAB code is provided.

41 pages, 31 figures, 13 matlab programs, 6 algorithms

Cited by in corpus (6)

• A Passive Probe for Subsurface Oceans and Liquid Water in Jupiter's Icy Moons
• Probabilistic response and rare events in Mathieu's equation under correlated parametric excitation
• A Posteriori Error Analysis of Fluid-Stucture Interactions: Time Dependent Error
• Wavelet-based Estimator for the Hurst Parameters of Fractional Brownian Sheet
• Statistical inference for fractional diffusion process with random effects at discrete observations
• Performance Analysis of Clustered LoRa Networks