A population spatialization method based on the integration of feature selection and an improved random forest model.

Zhao Z, Guo H, Jiang X, Zhang Y, Lu C, Zhang C, He Z

DOI: 10.1371/journal.pone.0321263
Published: 2025
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0321263,
  title = {A population spatialization method based on the integration of feature selection and an improved random forest model.},
  author = {Zhao Z and Guo H and Jiang X and Zhang Y and Lu C and Zhang C and He Z},
  year = {2025},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0321263},
  url = {https://doi.org/10.1371/journal.pone.0321263}
}

RIS

TY  - JOUR
TI  - A population spatialization method based on the integration of feature selection and an improved random forest model.
AU  - Zhao Z
AU  - Guo H
AU  - Jiang X
AU  - Zhang Y
AU  - Lu C
AU  - Zhang C
AU  - He Z
PY  - 2025
JO  - PloS one
DO  - 10.1371/journal.pone.0321263
UR  - https://doi.org/10.1371/journal.pone.0321263
ER  -

APA

Z, Z., H, G., X, J., Y, Z., C, L., C, Z., & Z, H. (2025). A population spatialization method based on the integration of feature selection and an improved random forest model.. PloS one. https://doi.org/10.1371/journal.pone.0321263

Source records

pubmed · retrieved 2026-09-25T08:03:28.896Z
europe-pmc · retrieved 2026-09-25T08:03:28.914Z