Integration of Model and GIS Based on Petri Nets
基于Petri网的模型与GIS集成研究

This paper discussed the integration of model and GIS. It is shown that the integrated expression and the processes of the object state model, the object simulative model and the object analytic model are key issues for integration. An integration scheme based on metadata and metamodel is suggested. The characteristic of the derivation nets deducted from petri nets was analyzed and a new derivation nets was presented to express the evolution history of metadata and the adjustment of metamodel. Then an integration scheme based on derivation nets, which is used to express the data process flow, was proposed. As a result, a derivation net of the remote sensing classifier of BP neural nets is made to illustrate the strategy of the integration of model and GIS.