A partitioned conditioned Latin hypercube sampling method considering spatial heterogeneity in digital soil mapping

Biao Huang, Guijian Yang, Jiancong Lei, Xiaomi Wang

Open source

DOI: 10.1038/s41598-025-95631-5
Published: 4
Container: Scientific Reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-95631-5,
  title = {A partitioned conditioned Latin hypercube sampling method considering spatial heterogeneity in digital soil mapping},
  author = {Biao Huang and Guijian Yang and Jiancong Lei and Xiaomi Wang},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-95631-5},
  url = {https://doi.org/10.1038/s41598-025-95631-5}
}

RIS

TY  - JOUR
TI  - A partitioned conditioned Latin hypercube sampling method considering spatial heterogeneity in digital soil mapping
AU  - Biao Huang
AU  - Guijian Yang
AU  - Jiancong Lei
AU  - Xiaomi Wang
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-95631-5
UR  - https://doi.org/10.1038/s41598-025-95631-5
ER  -

APA

Huang, B., Yang, G., Lei, J., & Wang, X. (2025). A partitioned conditioned Latin hypercube sampling method considering spatial heterogeneity in digital soil mapping. Scientific Reports. https://doi.org/10.1038/s41598-025-95631-5

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doaj · retrieved 2026-09-25T23:28:09.042Z