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  • 标题:A novel interpolation square root model for multi-scale spatial database
  • 本地全文:下载
  • 作者:Xianyong Gong ; Xiaojie Cui ; Ruixing Xing
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:310
  • 期号:2
  • 页码:1-9
  • DOI:10.1088/1755-1315/310/2/022042
  • 出版社:IOP Publishing
  • 摘要:The amount of map information is an important issue for multi-scale map making and spatial database producing in Cartography and Geographic Information System. Considering the multi-scale situation, a novel interpolation square root model for multi-scale spatial database is proposed. First, the limitations of the traditional square root model are analysed. Though some extensions were suggested, it is still incapable of guaranteeing the logic and quantity consistency in the multi-scale situation. Then, the improved novel interpolation square root model is proposed considering both the data at two-end neighbor source scales as control constraints.Finally, the experiments and comparations on real multi-scale Topographic Database from the National Land Survey of Finland show that the proposed interpolation square root model is valid and outstanding in ensuring the logic and quantity consistency and continuity.
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