Predictive Soil Pollution Mapping: A Hybrid Approach for a Dataset With Outliers

Spatial regression or interpolation is widely used for predictive soil pollution mapping, which aims to estimate all unobserved soil pollution based on a finite number of sample points. However, it may be unreasonable to use spatial regression or interpolation directly for an environmental soil data...

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Bibliographic Details
Main Authors: Wentao Yang, Min Deng, Xuexi Yang, Dongsheng Wei
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8673734/