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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Vydané v:	Land degradation & development Ročník 30; číslo 7; s. 730 - 745
Hlavní autori:	Taheri, Kamal, Shahabi, Himan, Chapi, Kamran, Shirzadi, Ataollah, Gutiérrez, Francisco, Khosravi, Khabat
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Chichester Wiley Subscription Services, Inc 30.04.2019
Predmet:	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
On-line prístup:	Získať plný text
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