Using landslide-inventory mapping for a combined bagged-1 trees and logistic-regression approach to determining landslide susceptibility in eastern Kentucky, United States

Crawford, Matthew M.;Dortch, Jason M.;Koch, Hudson J.;Killen, Ashton A.;Junfeng Zhu;Yichaun Zhu;Bryson, Lindsey S.;Haneberg, William C.

Description

The statistical data used in the combined machine-learning functions are available here as csv files. This includes all geomorphic data at the determined radial buffer size (36 variables), the results of the bagged trees function (12 variables), and the bagged trees resulting feature importance data.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.5

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Geological Society of London

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Statistics and Probability

Field

Mathematics

Domain

Physical Sciences

Confidence Score

43%

Source

Scholar Data Model

Keywords

GeologyFOS: Earth and related environmental sciences

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00