Modelling the spread of invasive species-parameter estimation using cellular automata in GIS

摘要

The research presented in this paper uses a GIS-based cellular automata (CA) framework to study and create an applied and ecologically significant model of spread for invasive plant species. Cellular automata (CA) coded within a Geographic Information System (GIS) are employed to test the ability of studied parameters of vegetation dynamics to represent spatial growth patterns. This method combines the well-established spatial data management and presentation capabilities of GIS iwth the spatial and temporal modeling capabilities of CA theory, creating the ideal tool for applied, data rich modeling.