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:2019,28(7):1-8
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空间插值分析算法综述
(青岛科技大学 信息科学技术学院, 青岛 266061)
Review of Spatial Interpolation Analysis Algorithm
(Information Science and Technology Academy, Qingdao University of Science and Technology, Qingdao 266061, China)
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投稿时间:2019-01-09    修订日期:2019-02-03
中文摘要: 空间插值分析算法是一种应用于将离散点的测量数据转换为连续数据表面的算法,能够将连续数据曲面与其他空间现象的分布情况进行比较,它在空间信息方面具有广泛的应用场景,尤其是地理信息方面.对泰森多边形法、反距离权重插值法、样条函数插值法、克里金插值法等空间插值算法的插值原理和应用场景进行综述,对空间插值分析算法的进展和未来研究方向进行了探讨.
Abstract:Spatial interpolation analysis algorithm is a kind of algorithm applied to transform measurement data of discrete points into continuous data surface. It can compare the distribution of continuous data surfaces with other spatial phenomena, and it has a wide range of applications in spatial information, especially in terms of geographic information. The interpolation principle and application scenarios of spatial interpolation algorithms such as Thiessen polygon method, inverse distance weight interpolation method, spline function interpolation method and Kriging interpolation method are reviewed. The progress and future research direction of spatial interpolation analysis algorithm is discussed.
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基金项目:农业部水产养殖数字农业建设试点项目(2017-A2131-130209-K0104-004);青岛市创新创业领军人才(15-07-03-0030)
引用文本:
李海涛,邵泽东.空间插值分析算法综述.计算机系统应用,2019,28(7):1-8
LI Hai-Tao,SHAO Ze-Dong.Review of Spatial Interpolation Analysis Algorithm.COMPUTER SYSTEMS APPLICATIONS,2019,28(7):1-8

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