NDLI: Spatial interpolation of severely skewed data with several peak values by the approach integrating kriging and triangular irregular network interpolation

Content Provider	Springer Nature Link
Author	Wu, Chunfa Wu, Jiaping Luo, Yongming Zhang, Haibo Teng, Ying DeGloria, Stephen D.
Copyright Year	2010
Abstract	It was not unusual in soil and environmental studies that the distribution of data is severely skewed with several high peak values, which causes the difficulty for Kriging with data transformation to make a satisfied prediction. This paper tested an approach that integrates kriging and triangular irregular network interpolation to make predictions. A data set consisting of total Copper (Cu) concentrations of 147 soil samples, with a skewness of 4.64 and several high peak values, from a copper smelting contaminated site in Zhejiang Province, China. The original data were partitioned into two parts. One represented the holistic spatial variability, followed by lognormal distribution, and then was interpolated by lognormal ordinary kriging. The other assumed to show the local variability of the area that near to high peak values, and triangular irregular network interpolation was applied. These two predictions were integrated into one map. This map was assessed by comparing with rank-order ordinary kriging and normal score ordinary kriging using another data set consisting of 54 soil samples of Cu in the same region. According to the mean error and root mean square error, the approach integrating lognormal ordinary kriging and triangular irregular network interpolation could make improved predictions over rank-order ordinary kriging and normal score ordinary kriging for the severely skewed data with several high peak values.
Starting Page	1093
Ending Page	1103
Page Count	11
File Format	PDF
ISSN	18666280
Journal	Environmental Earth Sciences
Volume Number	63
Issue Number	5
e-ISSN	18666299
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-10-19
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Skewed data High peak value Data transformation Triangular irregular network Spatial distribution Geology
Content Type	Text
Resource Type	Article
Subject	Global and Planetary Change Earth-Surface Processes Soil Science Environmental Chemistry Pollution Geology Water Science and Technology

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