Abstract
A general reconstruction method is described which simulates point patterns possessing prescribed summary characteristics, which are free of explicit model conditions. The characteristics are for instance the intensity, the L-function, the spherical contact distribution function and the kth nearest neighbour distance distributions. The use of the statistical reconstruction method is demonstrated on both a theoretical and practical example.
Original language | English |
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Pages (from-to) | 859-871 |
Number of pages | 13 |
Journal | Computational Statistics and Data Analysis |
Volume | 51 |
Issue number | 2 |
DOIs | |
Publication status | Published - 15 Nov 2006 |
Externally published | Yes |
Scopus Subject Areas
- Statistics and Probability
- Computational Mathematics
- Computational Theory and Mathematics
- Applied Mathematics
User-Defined Keywords
- Conditional simulation
- kth Nearest neighbour distance distribution
- L-Function
- Spherical contact distribution
- Reconstruction
- Point process