A Two-Step Method for Missing Spatio-Temporal Data Reconstruction

doi:10.3390/ijgi6070187

	A Two-Step Method for Missing Spatio-Temporal Data Reconstruction
	Cheng, Shifen 1,2; Lu, Feng 1,2,3
刊名	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
	2017-07-01
卷号	6 期号:7 页码:25
关键词	spatio-temporal interpolation spatio-temporal heterogeneity dynamic sliding window neural network
ISSN号	2220-9964
DOI	10.3390/ijgi6070187
通讯作者	Lu, Feng(luf@lreis.ac.cn)
英文摘要	Missing data reconstruction is a critical step in the analysis and mining of spatio-temporal data; however, few studies comprehensively consider missing data patterns, sample selection and spatio-temporal relationships. As a result, traditional methods often fail to obtain satisfactory accuracy or address high levels of complexity. To combat these problems, this study developed an effective two-step method for spatio-temporal missing data reconstruction (ST-2SMR). This approach includes a coarse-grained interpolation method for considering missing patterns, which can successfully eliminate the influence of continuous missing data on the overall results. Based on the results of coarse-grained interpolation, a dynamic sliding window selection algorithm was implemented to determine the most relevant sample data for fine-grained interpolation, considering both spatial and temporal heterogeneity. Finally, spatio-temporal interpolation results were integrated by using a neural network model. We validated our approach using Beijing air quality data and found that the proposed method outperforms existing solutions in term of estimation accuracy and reconstruction rate.
资助项目	State Key Research Development Program of China[2016YFB0502104] ; National Natural Science Foundation of China[41631177] ; Key Research Program of the Chinese Academy of Sciences[ZDRW-ZS-2016-6-3]
WOS关键词	SPATIAL INTERPOLATION ; DATA IMPUTATION ; NETWORKS
WOS研究方向	Physical Geography ; Remote Sensing
语种	英语
出版者	MDPI AG
WOS记录号	WOS:000407506900004
资助机构	State Key Research Development Program of China ; National Natural Science Foundation of China ; Key Research Program of the Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/61564]
专题	中国科学院地理科学与资源研究所
通讯作者	Lu, Feng
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Fujian Collaborat Innovat Ctr Big Data Applicat G, Fuzhou 350003, Fujian, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Cheng, Shifen,Lu, Feng. A Two-Step Method for Missing Spatio-Temporal Data Reconstruction[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2017,6(7):25.
APA	Cheng, Shifen,&Lu, Feng.(2017).A Two-Step Method for Missing Spatio-Temporal Data Reconstruction.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,6(7),25.
MLA	Cheng, Shifen,et al."A Two-Step Method for Missing Spatio-Temporal Data Reconstruction".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 6.7(2017):25.