After mapping generalization process, combining and simplifying the scattered islands make the map more explicit at 1 : 2.1 billion scale, and the map features more complete and accurate. With respect to automatic map-making knowledge engine consists 97 types, 1086 subtypes, 21845 basic algorithm and over 2500 relevant functional modules.In order to evaluate the accuracy and visual effect of our model towards topographic maps and thematic maps, we take the world map generalization in small scale as an example. With respect to the cross-platform symbol library, the symbol and the physical symbol in the geographic information are configured at all scale levels. 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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