Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/12720
Title: | Statistical analysis of the spatial symmetry of periodic vegetation patterns in semi-arid lands | Authors: | Dupont, Vicky | Advisors: | FAES, Christel Lejeune, Olivier |
Issue Date: | 2011 | Publisher: | tUL Diepenbeek | Abstract: | The existence of spatially periodic distributions of plants in arid and semi-arid areas is a topic of ongoing research. Many biological models have been developed to try to explain this phenomenon. Recent models predict the following sequence of patterns for increasing aridity: gaps of bare ground in a dense vegetation cover, alternating stripes of vegetation and bare ground and spots of vegetation surrounded by bare ground. The gaps and spots are arranged according to a hexagonal symmetry. This statement has been investigated through the use of spatial statistics. In addition to the near-hexagonal symmetry hypothesis, other near-regular symmetries were also investigated (rhomboidal, square and triangular). The statistical analysis was performed on a gapped vegetation pattern in Kenya. The Complete Spatial Randomness hypothesis was rejected in favour of the regularity alternative. The rhomboidal with angle 52° was the most likely point process for the observed data. | Notes: | master of Statistics-Epidemiology & Public Health Methodology | Document URI: | http://hdl.handle.net/1942/12720 | Category: | T2 | Type: | Theses and Dissertations |
Appears in Collections: | Master theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
06239732010093.pdf | 2.8 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.