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Improving correction quality for in-situ portable X-ray fluorescence (PXRF) using robust geographically weighted regression with categorical land-use types at a regional scale by Mingkai Qu,Hongbo Liu,Xu Guang,Jian Chen,Yongcun Zhao,Biao Huang is a nonfiction available to read on EtoBox.

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Geoderma, 409 (2022) 115615. doi:10.1016/j.geoderma.2021.115615 Improving correction quality for in-situ portable X-ray fluorescence (PXRF) using robust geographically weighted regression ... 1 1 Introduction 1 2 Materials and methods 2 2.1 Study area, auxiliary data, and soil investigation 2 2.2 Soil heavy metal analysis 2 2.3 RGWR with land-use types (RGWR-LUT) for correcting in-situ PXRF data 3 2.4 Geostatistical spatial simulation 3 2.5 Model evaluation 3 3 Results and discussion 3 3.1 Descriptive statistics 3 3.2 Spatially varying correction coefficient surface generated by RGWR-LUT 4 3.3 Comparison of the correction quality for in-situ PXRF Pb 4 3.4 In-situ PXRF Pb corrected by RGWR-LUT 5 3.5 Incorporating the corrected in-situ PXRF for spatial simulation 5 3.6 Comparison of the spatial simulation quality for soil Pb 6 4 Conclusions 6 Declaration of Competing Interest 6 Acknowledgments 6 Appendix A Supplementary data 6 References 6 Soil heavy metal investigation,Land-use types,In-situ portable X-ray fluorescence,Correction quality,Spatial simulation quality

Who reads Improving correction quality for in-situ portable X-ray fluorescence (PXRF) using robust geographically weighted regression with categorical land-use types at a regional scale?

Author

Mingkai Qu,Hongbo Liu,Xu Guang,Jian Chen,Yongcun Zhao,Biao Huang

Publisher

Elsevier B.V.

Language

EN

Category

nonfiction