Incorporated neighborhood and environmental effects to model individual-tree height using random forest regression.

MLA

Nie, Jiali, and Shuai Liu. “Incorporated Neighborhood and Environmental Effects to Model Individual-Tree Height Using Random Forest Regression.” Scandinavian Journal of Forest Research, vol. 38, no. 4, June 2023, pp. 221–31. EBSCOhost, https://doi.org/10.1080/02827581.2023.2215545.

APA

Nie, J., & Liu, S. (2023). Incorporated neighborhood and environmental effects to model individual-tree height using random forest regression. Scandinavian Journal of Forest Research, 38(4), 221–231. https://doi.org/10.1080/02827581.2023.2215545

Chicago

Nie, Jiali, and Shuai Liu. 2023. “Incorporated Neighborhood and Environmental Effects to Model Individual-Tree Height Using Random Forest Regression.” Scandinavian Journal of Forest Research 38 (4): 221–31. doi:10.1080/02827581.2023.2215545.