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Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM, and XGBoost

Crossref DOI link: https://doi.org/10.1007/s00477-022-02330-y

Published Online: 2022-11-04

Published Print: 2023-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Sahin, Emrehan Kutlug https://orcid.org/0000-0002-9830-8585
Funding

Funding for this research was provided by:

The Scientific and Technological Research Council of Turkey (118Y090)
License Information

Text and Data Mining valid from 2022-11-04

Version of Record valid from 2022-11-04
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Article History

Accepted: 21 October 2022

First Online: 4 November 2022

Declarations

:

: The authors declare no competing interests.

: The author declares that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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