Sinkhole susceptibility mapping: A comparison between Bayes‐based machine learning algorithms-Reference-Cited by-同舟云学术

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

Published:2019-02-17 Issue:7 Volume:30 Page:730-745
ISSN:1085-3278
Container-title:Land Degradation & Development
language:en
Short-container-title:Land Degrad Dev

Author:

Taheri Kamal¹,Shahabi Himan²^ORCID,Chapi Kamran³^ORCID,Shirzadi Ataollah³^ORCID,Gutiérrez Francisco⁴,Khosravi Khabat⁵

Affiliation:

1. Kermanshah Regional Water AuthorityKarst Research and Study Office of Western Iran Kermanshah Iran

2. Department of Geomorphology, Faculty of Natural ResourcesUniversity of Kurdistan Sanandaj 66177‐15175 Iran

3. Department of Rangeland and Watershed Management, Faculty of Natural ResourcesUniversity of Kurdistan Sanandaj 66177‐15175 Iran

4. Earth Science Department, Geological BuildingUniversidad de Zaragoza Zaragoza 50009 Spain

5. Department of Watershed Sciences Engineering, Faculty of Natural ResourcesUniversity of Agricultural Science and Natural Resources of Sari Mazandaran 48181‐68984 Iran

Funder

Spanish Government

Publisher

Wiley

Subject

Soil Science,General Environmental Science,Development,Environmental Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ldr.3255

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