Abstract
The simulation of random spatial data on a computer is an important tool for understanding the behavior of spatial processes. In this chapter we describe how to simulate realizations from the main types of spatial processes, including Gaussian and Markov random fields, point processes, spatial Wiener processes, and Lévy fields. Concrete MATLAB code is provided.
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CITATION STYLE
APA
Kroese, D. P., & Botev, Z. I. (2015). Spatial process simulation. Lecture Notes in Mathematics, 2120, 369–404. https://doi.org/10.1007/978-3-319-10064-7_12
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