Automated Map Generalization in Distributed Environments

Current map generalization for massive spatial data is becoming more and more urgent. It is necessary to study the integration of new technologies, such as distributed computing, which is important to provide high-quality geographic information services. This paper proposes an architecture of automated map generalization in distributed environments, and implements a prototype system to demonstrate the architecture. Finally an experiment to generalize contour data for entire China from scale 1:250,000 to 1:1,000,000 was performed with prototype system.