| 2019 2nd International Conference of Green Buildings and Environmental Management | |
| A novel interpolation square root model for multi-scale spatial database | |
| 生态环境科学 | |
| Gong, Xianyong^1 ; Cui, Xiaojie^1 ; R., Xing ; C., Liu | |
| Information Engineering University, Zhengzhou Henan | |
| 450001, China^1 | |
| 关键词: Finland; Land surveys; Multi-scale maps; Spatial database; Square roots; Topographic database; | |
| Others : https://iopscience.iop.org/article/10.1088/1755-1315/310/2/022042/pdf DOI : 10.1088/1755-1315/310/2/022042 |
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| 学科分类:环境科学(综合) | |
| 来源: IOP | |
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【 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.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| A novel interpolation square root model for multi-scale spatial database | 785KB |
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