A comparative study of the bivariate, multivariate and machine-learning-based statistical models for landslide susceptibility mapping in a seismic-prone region in China
Crossref DOI link: https://doi.org/10.1007/s12517-021-06630-5
Published Online: 2021-03-06
Published Print: 2021-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zhou, Suhua
Zhang, Yunqiang
Tan, Xin
Abbas, Syed Muntazir
Text and Data Mining valid from 2021-03-01
Version of Record valid from 2021-03-01
Article History
Received: 12 February 2020
Accepted: 23 January 2021
First Online: 6 March 2021
Declarations
:
: The authors declare that they have no competing interests.