An Adjusted Inverse Distance Weighted Spatial Interpolation Method

DOI

10.2991/cimns-18.2018.29How to use a DOI?

Keywords

AIDW; spatial interpolation; contour plotting; IDW

Abstract

Considering the shortcomings of IDW interpolation, this study improved the IDW algorithm and proposed a new spatial interpolation method that is called Adjusted Inverse Distance Weighting (AIDW). The AIDW is capable of taking into account the comprehensive influence of relative distance and position of sample points on the interpolated point, by adding a coefficient (K) to IDW formula. The coefficient (K) is used to adjust the distance weight of sample point according to its shielded effect in sample point positions. Theoretical analysis and case study indicates that the AIDW algorithm could diminish the IDW interpolation error of non-uniform distribution of sample points, consequently the AIDW interpolating is more reasonable, compared with the IDW interpolating. On the other hand, the contour plotting of the AIDW interpolation can effectively avoid the implausible isolated circles and concentric circles that originated from the defect of the IDW interpolation. The contour derived from the AIDW interpolated surface is more similar to the professional manual identification than that from the IDW interpolated surface.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhengquan Li
AU  - Kuo Wang
AU  - Hao Ma
AU  - Yaoxiang Wu
PY  - 2018/11
DA  - 2018/11
TI  - An Adjusted Inverse Distance Weighted Spatial Interpolation Method
BT  - Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
PB  - Atlantis Press
SP  - 128
EP  - 132
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-18.2018.29
DO  - 10.2991/cimns-18.2018.29
ID  - Li2018/11
ER  -