Spatial prediction using random forest spatial interpolation with sample augmentation: a case study for precipitation mapping
Crossref DOI link: https://doi.org/10.1007/s12145-023-00936-6
Published Online: 2023-01-26
Published Print: 2023-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Sijia, Jiao
Tianjun, Wu
Jiancheng, Luo
Ya’nan, Zhou
Wen, Dong
Changpeng, Wang
Shiying, Dong
Text and Data Mining valid from 2023-01-26
Version of Record valid from 2023-01-26
Article History
Received: 1 November 2022
Accepted: 4 January 2023
First Online: 26 January 2023
Declarations
:
: There is no conflict of interest.