A Spatial Interpolation of Meteorological Parameters considering Geographic Semantics
Joint Authors
Wu, Wenjun
Gan, Ruijie
Li, Junli
Cao, Xiu
Qu, Hongjiao
Zhang, Jie
Ye, Xinxin
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-02
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Spatial interpolation of meteorological parameters, closely related to the earth surface, plays important roles in climatological study.
However, most of traditional spatial interpolation methods ignore the geographic semantics of interpolation sample points in practical application.
This paper attempts to propose an improved inverse-distance weighting interpolation algorithm considering geographic semantics (S-IDW), which adds geographic semantic similarity to the traditional IDW formula and adjusts weight coefficient.
In the interpolation process, the geographic semantic differences between sample points and estimation points are considered comprehensively.
In this study, 3 groups of land surface temperature data from 2 different areas were selected for experiments, and several commonly used spatial interpolation methods were compared.
Experimental results indicated that S-IDW outperformed IDW and several existing spatial interpolation methods, but there were also some abnormal value and interpolation outliers.
This method provides a new insight toward the estimation accuracy, data missing, and error correction of spatial attributes related to meteorological parameters.
American Psychological Association (APA)
Wu, Wenjun& Gan, Ruijie& Li, Junli& Cao, Xiu& Ye, Xinxin& Zhang, Jie…[et al.]. 2020. A Spatial Interpolation of Meteorological Parameters considering Geographic Semantics. Advances in Meteorology،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1127232
Modern Language Association (MLA)
Wu, Wenjun…[et al.]. A Spatial Interpolation of Meteorological Parameters considering Geographic Semantics. Advances in Meteorology No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1127232
American Medical Association (AMA)
Wu, Wenjun& Gan, Ruijie& Li, Junli& Cao, Xiu& Ye, Xinxin& Zhang, Jie…[et al.]. A Spatial Interpolation of Meteorological Parameters considering Geographic Semantics. Advances in Meteorology. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1127232
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1127232