iCity: A GIS-CA modelling tool for urban planning and decision making
The objective of this study is to present a novel tool for predictive modelling of urban growth. The proposed tool, named iCity-Irregular City, extends the traditional formalization of cellular automata (CA) to include an irregular spatial structure, asynchronous urban growth, and a high spatio-temporal resolution to aid in spatial decision making for urban planning. The iCity software tool was developed as an embedded model within a common desktop geographic information system (GIS) with a user-friendly interface to control modelling operations for urban land-use change. This approach allows the model developer to focus on implementing model logic rather than developing an entire stand-alone modelling application. It also provides the model user with a familiar environment in which to run the model to simulate urban growth. (c) 2006 Elsevier Ltd. All rights reserved.
urban planning geographic information systems (gis) irregular cellular automata (ca) complex systems modelling modelling urban growth arcgis visual basic net 2003 arcobjects