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Landslide Geo-Hazard Risk Mapping Using Logistic Regression Modeling in Guixi, Jiangxi, China

Landslide Geo-Hazard Risk Mapping Using Logistic Regression Modeling in Guixi, Jiangxi, China

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2530176217

Landslide Geo-Hazard Risk Mapping Using Logistic Regression Modeling in Guixi, Jiangxi, China

About this item

Full title

Landslide Geo-Hazard Risk Mapping Using Logistic Regression Modeling in Guixi, Jiangxi, China

Publisher

Basel: MDPI AG

Journal title

Sustainability, 2021-05, Vol.13 (9), p.4830

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Reliable prediction of landslide occurrence is important for hazard risk reduction and prevention. Taking Guixi in northeast Jiangxi as an example, this research aimed to conduct such a landslide risk assessment using a multiple logistic regression (MLR) algorithm. Field-investigated landslides and non-landslide sites were converted into polygons....

Alternative Titles

Full title

Landslide Geo-Hazard Risk Mapping Using Logistic Regression Modeling in Guixi, Jiangxi, China

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2530176217

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2530176217

Other Identifiers

ISSN

2071-1050

E-ISSN

2071-1050

DOI

10.3390/su13094830

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