APPLICATION OF UNSTRUCTURED CELLULAR AUTOMATA ON ECOLOGICAL MODELLING
Cellular Automata (CA) is capable of (re)producing complex spatial-temporal dynamic patterns by using a set of local evolution rules involving the states of immediate neighbouring cells. Classical Cellular Automata consist of a regular lattice of cells, which lead to a geometric staircase representation at the boundaries. This paper developed unstructured cellular automata (UCA) with both unstructured triangular and polygon elements. In order to test the capabilities of the unstructured cellular automata, a Grass-vegetarian model and a macro-plankton model were developed based on UCA. The grass-vegetarian model combined UCA with optimization techniques. The macro-plankton model was set up by defining separate rules for every individual. The unstructured grid varied with growth and mortality of plants. The competition among plants evolved according to the UCA approach.
cellular automata unstructured grid unstructured cellular automata spatial pattern evolution rules
Yuqing Lin Arthur Mynett Qiuwen Chen
Center for Paidang Watershed Research, Gyeonggi Research Institute, Gyeonggi-do, Korea Research Centre for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing, China
国际会议
第16届亚太地区国际水利学大会暨第3届水工水力学国际研讨会(16th IAHR-APD Congress and 3rd Symoposium of IAHR-ISHS)
南京
英文
624-629
2008-10-20（万方平台首次上网日期，不代表论文的发表时间）