空间内插方法比较

doi:10.11867/j.issn.1001-8166.2000.03.0260

地球科学进展 ›› 2000, Vol. 15 ›› Issue (3): 260 -265. doi: 10.11867/j.issn.1001-8166.2000.03.0260

空间内插方法比较

李新,程国栋,卢玲

中国科学院寒区旱区环境与工程研究所,甘肃兰州 730000

收稿日期:1999-08-19 修回日期:1999-11-03 出版日期:2000-06-01
通讯作者: 李新,男,1969年10月生于甘肃酒泉,副研究员,主要从事地理信息系统和遥感在冰冻圈和水资源研究中的应用。
基金资助:
中国科学院特别经费支持领域项目“冰冻圈基础研究”(编号:KJ-B-2-102)资助。

COMPARISON OF SPATIAL INTERPOLATION METHODS

LI Xin, CHENG Guodong, LU Ling

Cold and Arid Regions Environment and Engineering Research Institute,Chinese Academy of Sciences,Lanzhou 730000,China

Received:1999-08-19 Revised:1999-11-03 Online:2000-06-01 Published:2000-06-01

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空间内插可以分为几何方法、统计方法、空间统计方法、函数方法、随机模拟方法、物理模型模拟方法和综合方法。介绍了每一种方法的适用范围、算法和优缺点。指出没有绝对最优的空间内插方法,必须对数据进行空间探索分析,根据数据的特点,选择最优方法;同时,应对内插结果做严格的检验。开发通用空间内插软件、智能化内插以及加强相关基础研究将是空间内插研究的重点。

关键词: 空间内插, 空间数据探索分析, 地理信息系统

Spatial interpolation can be classified in accordance with their basic hypotheses and mathematical natures as: geometric method, statistical method, geostatistical method, stochastic simulation method, physical model simulation method and combined method. The application areas,special algorithm, advantages and disadvantages of each interpolation method are introduced and compared in the paper. The comparison shows that there is no absolutely optimal spatial interpolation method; there is only relatively optimal interpolation method in special situation. Hence, the best spatial interpolation method should be selected in accordance with the qualitative analysis of the data, exploratory spatial data analysis and repeated experiments. In addition, the result of spatial interpolation should be strictly examined for its validity. Development of general software for spatial interpolation and strengthening the basic theory research are key issues in the future.

Key words: Spatial interpolation, Exploratory spatial data analysis, Geographic Information System.

中图分类号:

P208

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