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Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA

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Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA (English)

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logistic regression model

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Gregory C. Ohlmacher

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John C. Davis

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2

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publication date

June 2003

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published in

Engineering Geology

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volume

69

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issue

3-4

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page(s)

331-343

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cites work

GIS techniques and statistical models in evaluating landslide hazard

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https://api.crossref.org/works/10.1016%2FS0013-7952%2803%2900069-3

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7 January 2021

Landslide susceptibility in the Tully Valley area, Finger Lakes region, New York

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https://api.crossref.org/works/10.1016%2FS0013-7952%2803%2900069-3

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7 January 2021

Real-time landslide warning during heavy rainfall

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reference URL

https://api.crossref.org/works/10.1016%2FS0013-7952%2803%2900069-3

retrieved

7 January 2021

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DOI

10.1016/S0013-7952(03)00069-3

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(Q56068992)

Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA

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