Assessing Spatial Variation and Driving Factors of Available Phosphorus in a Hilly Area (Gaozhou, South China) Using Modeling Approaches and Digital Soil Mapping
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- Chiao, Ling-Yun & Hsieh, Chih-hao & Chiu, Tai-Sheng, 2012. "Exploring spatiotemporal ecological variations by the multiscale interpolation," Ecological Modelling, Elsevier, vol. 246(C), pages 26-33.
- Azamat Suleymanov & Ilyusya Gabbasova & Mikhail Komissarov & Ruslan Suleymanov & Timur Garipov & Iren Tuktarova & Larisa Belan, 2023. "Random Forest Modeling of Soil Properties in Saline Semi-Arid Areas," Agriculture, MDPI, vol. 13(5), pages 1-11, April.
- Rumi Wang & Runyan Zou & Jianmei Liu & Luo Liu & Yueming Hu, 2021. "Spatial Distribution of Soil Nutrients in Farmland in a Hilly Region of the Pearl River Delta in China Based on Geostatistics and the Inverse Distance Weighting Method," Agriculture, MDPI, vol. 11(1), pages 1-12, January.
- Zhifan Chen & Sen Zhang & Wencai Geng & Yongfeng Ding & Xingyuan Jiang, 2022. "Use of Geographically Weighted Regression (GWR) to Reveal Spatially Varying Relationships between Cd Accumulation and Soil Properties at Field Scale," Land, MDPI, vol. 11(5), pages 1-18, April.
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- Liangwei Cheng & Mingzhi Yan & Wenhui Zhang & Weiyan Guan & Lang Zhong & Jianbo Xu, 2024. "Interpretable Digital Soil Organic Matter Mapping Based on Geographical Gaussian Process-Generalized Additive Model (GGP-GAM)," Agriculture, MDPI, vol. 14(9), pages 1-18, September.
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spatial heterogeneity; random forest; soil fertility; geostatistics;All these keywords.
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