Abstract
A tessellation is a division of space into small units or cells. The cells are usually polytopes (polygons in IR2, polyhedra in IR3), but this is not strictly necessary. Depending on the application considered, a tessellation can be regarded either as a partition of space or as a random function (by assigning each cell a value), or even as a population of cells. Of course, different interpretations lead to different statistical characterizations. A brief description of the possible interpretations is given in the first section of this chapter. Then we turn to the presentation and the (conditional) simulation of two well known tessellation models, namely the Voronoi and the Poisson tessellations.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Lantuéjoul, C. (2002). Tessellations. In: Geostatistical Simulation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04808-5_12
Download citation
DOI: https://doi.org/10.1007/978-3-662-04808-5_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07582-7
Online ISBN: 978-3-662-04808-5
eBook Packages: Springer Book Archive