The Strategy and Application of Intelligent Muti-scale Topographic Map Generalization Based on Spatial Data Source

  • 1. Xiangtan City Geotechnical Surveying & Design Institute, Xiangtan 411100, China;
    2. Hunan Province Engineering Laboratory of Geospatial Information, Xiangtan 411201, China;
    3. Wuhan University Resource and Environmental Science Institute, Wuhan 430079, China

Received date: 2012-02-02

  Revised date: 2012-12-25

  Online published: 2013-04-18


Maps of different scales contain different contents and have different social and economic functions. The production and database building of these maps are an important and difficult part of GIS database building. In the past, maps of small scales could be obtained mainly through stepped generalization of large-scaled maps by using digital map generalizing software, which was characterized by low-efficiency, time-consuming, difficult upgrading and unstandard quality. This paper aims at a research on how to establish spatial topological relationship, build database of maps of fundamental scales, accomplish intelligent generalization of adjacent-scaled maps, nonadjacent-scaled maps and randomly-scaled maps, then automatically establish database of maps of various corresponding scales with high speed, guarantee of timely data updating and maitainance of multi-scaled map database. This method, by making use of the integrity, adaptability, applicability, advanced calculation and extraordinary analyzing ability of GIS database, could overcome the disadvantages of traditional methods, ensure the consistency and real time of the database, meet needs from all professions and of all levels, and facilitate the building of urban DSM and three dimensional real models, having the advantages of low cost, high speed, great accuracy, good applicability and map-providing according to needs. The practice of Xiangtan Digital City Project has proved the feasibility and social value of the GISidMAPR® system proposed by this research.

Cite this article

ZHANG Bi-Qing, LI Chao-Kui, ZHOU Qi . The Strategy and Application of Intelligent Muti-scale Topographic Map Generalization Based on Spatial Data Source[J]. Journal of Geo-information Science, 2013 , 15(2) : 217 -224 . DOI: 10.3724/SP.J.1047.2013.00217


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