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Spatial Process Generation

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.

4 nodes3 linksoverview mapSpatial Process Generation
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Co-authorshipAuthorshipAuthorshipTopic signalWSpatial Process Generationpreprint / 2013ADirk P. KroeseResearcherAZdravko I. BotevResearcherTComputation1468 works
PaperSignal 103 links

Spatial Process Generation

preprint / 2013

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