Renshaw, E. (2002) Two-dimensional spectral analysis for marked point processes. Biometrical Journal, 44 (6). pp. 718-745. ISSN 0323-3847
Full text not available in this repository. (Request a copy from the Strathclyde author)Abstract
Spectral analysis has already been shown to be a powerful tool in the interrogation of lattice patterns, since it assumes no structural characteristics in the data (such as isotropy) prior to analysis. Here we extend the analysis to non-lattice data for which both points and marks can exhibit spatial structure. Both distance- and spectral-based measures are introduced, and theoretical comparisons are made between lattice and mark spectra. Simulated examples suggest a high degree of independence between point and mark spectra, and a real example is presented for the spatial structure of 584 tree locations and diameters at breast height of longleaf pine trees in southern Georgia.
| Item type: | Article |
|---|---|
| ID code: | 4592 |
| Keywords: | anisotropy, clumping, spectral analysis, lattice spectra spatial analysis, biometrics, statistics, Probabilities. Mathematical statistics, Biology |
| Subjects: | Science > Mathematics > Probabilities. Mathematical statistics Science > Natural history > Biology |
| Department: | Faculty of Science > Mathematics and Statistics |
| Related URLs: | |
| Depositing user: | Strathprints Administrator |
| Date Deposited: | 06 Nov 2007 |
| Last modified: | 12 Mar 2012 10:41 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/4592 |
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