Sinkhole susceptibility mapping: A comparison between Bayes‐based machine learning algorithms

Land degradation has been recognized as one of the most adverse environmental impacts during the last century. The occurrence of sinkholes is increasing dramatically in many regions worldwide contributing to land degradation. The rise in the sinkhole frequency is largely due to human‐induced hydrolo...

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Bibliographic Details
Published in:	Land degradation & development Vol. 30; no. 7; pp. 730 - 745
Main Authors:	Taheri, Kamal, Shahabi, Himan, Chapi, Kamran, Shirzadi, Ataollah, Gutiérrez, Francisco, Khosravi, Khabat
Format:	Journal Article
Language:	English
Published:	Chichester Wiley Subscription Services, Inc 30.04.2019
Subjects:	Algorithms Bayes net Bayesian analysis Conditioning Distribution patterns Environmental impact Hydrologic models Hydrology Iran Land degradation Land management Land use Land use management Learning algorithms logistic regression Machine learning Mapping Mathematical models naïve Bayes sinkhole Sinkholes Spatial distribution Statistical analysis Statistics
ISSN:	1085-3278, 1099-145X
Online Access:	Get full text
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