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Proceedings Paper

Spatial interpolation approach based on IDW with anisotropic spatial structures
Author(s): Jia Li; Ping Duan; Yehua Sheng; Haiyang Lv
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Paper Abstract

In many interpolation methods, with its simple interpolation principle, Inverse distance weighted (IDW) interpolation is one of the most common interpolation method. There are anisotropic spatial structures with actual geographical spatial phenomenon. When the IDW interpolation is used, anisotropic spatial structures should be considered. Geostatistical theory has a characteristics of exploring anisotropic spatial structures. In this paper, spatial interpolation approach based on IDW with anisotropic spatial structures is proposed. The DEM data is tested in this paper to prove reliability of the IDW interpolation considering anisotropic spatial structures. Experimental results show that IDW interpolation considering anisotropic spatial structures can improve interpolation precision when sampling data has anisotropic spatial structures feature.

Paper Details

Date Published: 9 December 2015
PDF: 6 pages
Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98081O (9 December 2015); doi: 10.1117/12.2209321
Show Author Affiliations
Jia Li, Yunnan Normal Univ. (China)
Ping Duan, Yunnan Normal Univ. (China)
Yehua Sheng, Nanjing Normal Univ. (China)
State Key Lab. Cultivation Base of Geographical Environment Evolution (China)
Jiangsu Ctr. for Collaborative Innovation in Geographical Info. Resource Development and Application (China)
Haiyang Lv, Nanjing Normal Univ. (China)
State Key Lab. Cultivation Base of Geographical Environment Evolution (China)
Jiangsu Ctr. for Collaborative Innovation in Geographical Info. Resource Development and Application (China)


Published in SPIE Proceedings Vol. 9808:
International Conference on Intelligent Earth Observing and Applications 2015
Guoqing Zhou; Chuanli Kang, Editor(s)

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