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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
URI: http://hdl.handle.net/1942/12720
Category: T2
Type: Theses and Dissertations
Appears in Collections: Master theses

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