Spatial-temporal Data Interpolation Based on Spatial-temporal Kriging Method

被引：0
|
作者：
Xu M.-L. [1 ]
Xing T. [1 ]
Han M. [1 ]
机构：
[1] Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2020年 / 46卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Elastic net algorithm; Interpolation; Spatial-temporal data; Spatial-temporal Kriging;
D O I：
10.16383/j.aas.2018.c170525
中图分类号：
学科分类号：
摘要：
In the process of interpolating meteorological data, if we only consider the spatial information of data and ignore the correlation of data in time, it will inevitably affect the accuracy of interpolation. For the meteorological data with time and space characteristics, this paper combines the spatial-temporal Kriging method with elastic net algorithm. This method uses the elastic net algorithm to solve the problems that the spatial-temporal variational function matrix in the spatial-temporal Kriging algorithm is ill-posed and we can not find its pseudoinverse. The elastic net algorithm is used to obtain the sparse solution of the variational function equation to improve the accuracy of spatial temporal interpolation. The simulation experiments on the observed temperature data and AQI data verify the high accuracy of the proposed method for spatial and temporal data interpolation. Copyright © 2020 Acta Automatica Sinica. All rights reserved.
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页码：1681 / 1688
页数：7
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