![]() ![]() In light of this, this paper adopts the improved model (with the map and data separated) in the field of the mapmaking generalization, which can separate geographic data from mapping data from maps, mainly including cross-platform symbols and automatic map-making knowledge engine. Further study of automated mapping technology, especially the realization of small scale production on a large scale global map, is the key of the cartographic field need to solve. There is a surging demand for small scale world map in large formats all over the world. With the globalization and rapid development every filed is taking an increasing interest in physical geography and human economics. A Model Study of Small- Scale World Map GeneralizationĬheng, Y. ![]()
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