A novel potential outlier recognition approach considering local heterogeneity enhancement to improve the quality of soil datasets
- DOI
- 10.1016/j.geoderma.2025.117200
- Published
- 2025-02
- Container
- Geoderma
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.geoderma.2025.117200,
title = {A novel potential outlier recognition approach considering local heterogeneity enhancement to improve the quality of soil datasets},
author = {Yongji Wang and Mingjun Yang and Meizi Wang and Jiayang Lv and Shuhao Yuan and Shaoqi Li and Zihan Wang and Jipeng Zhang and Qingwen Qi and Yanjun Ye},
year = {2025},
journal = {Geoderma},
doi = {10.1016/j.geoderma.2025.117200},
url = {https://doi.org/10.1016/j.geoderma.2025.117200}
}RIS
TY - JOUR TI - A novel potential outlier recognition approach considering local heterogeneity enhancement to improve the quality of soil datasets AU - Yongji Wang AU - Mingjun Yang AU - Meizi Wang AU - Jiayang Lv AU - Shuhao Yuan AU - Shaoqi Li AU - Zihan Wang AU - Jipeng Zhang AU - Qingwen Qi AU - Yanjun Ye PY - 2025 JO - Geoderma DO - 10.1016/j.geoderma.2025.117200 UR - https://doi.org/10.1016/j.geoderma.2025.117200 ER -
APA
Wang, Y., Yang, M., Wang, M., Lv, J., Yuan, S., Li, S., Wang, Z., Zhang, J., Qi, Q., & Ye, Y. (2025). A novel potential outlier recognition approach considering local heterogeneity enhancement to improve the quality of soil datasets. Geoderma. https://doi.org/10.1016/j.geoderma.2025.117200
Source records
- crossref · retrieved 2026-09-27T05:44:31.605Z