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Artificial Intelligence And Data Science PDF Available Non-peer-reviewed Preprint

Spatial Process Generation

Dirk P. Kroese, Zdravko I. Botev  ·  Published 2013-08-02

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.
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