Spatial Process Generation
Computation
2013-08-05 v1
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.
Keywords
Cite
@article{arxiv.1308.0399,
title = {Spatial Process Generation},
author = {Dirk P. Kroese and Zdravko I. Botev},
journal= {arXiv preprint arXiv:1308.0399},
year = {2013}
}
Comments
41 pages, 31 figures, 13 matlab programs, 6 algorithms