Vote for your favorite mineral in #MinCup25! - Silver vs. Baryte
Are you ready for beautiful utility as sparkling silver competes against hefty baryte?
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Abdollahi, Sahar, Pourghasemi, Hamid Reza, Ghanbarian, Gholam Abbas, Safaeian, Roja (2019) Prioritization of effective factors in the occurrence of land subsidence and its susceptibility mapping using an SVM model and their different kernel functions. Bulletin of Engineering Geology and the Environment, 78. 4017-4034 doi:10.1007/s10064-018-1403-6

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitlePrioritization of effective factors in the occurrence of land subsidence and its susceptibility mapping using an SVM model and their different kernel functions
JournalBulletin of Engineering Geology and the Environment
AuthorsAbdollahi, SaharAuthor
Pourghasemi, Hamid RezaAuthor
Ghanbarian, Gholam AbbasAuthor
Safaeian, RojaAuthor
Year2019 (September)Volume78
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s10064-018-1403-6Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID8363707Long-form Identifiermindat:1:5:8363707:8
GUID0
Full ReferenceAbdollahi, Sahar, Pourghasemi, Hamid Reza, Ghanbarian, Gholam Abbas, Safaeian, Roja (2019) Prioritization of effective factors in the occurrence of land subsidence and its susceptibility mapping using an SVM model and their different kernel functions. Bulletin of Engineering Geology and the Environment, 78. 4017-4034 doi:10.1007/s10064-018-1403-6
Plain TextAbdollahi, Sahar, Pourghasemi, Hamid Reza, Ghanbarian, Gholam Abbas, Safaeian, Roja (2019) Prioritization of effective factors in the occurrence of land subsidence and its susceptibility mapping using an SVM model and their different kernel functions. Bulletin of Engineering Geology and the Environment, 78. 4017-4034 doi:10.1007/s10064-018-1403-6
In(n.d.) Bulletin of Engineering Geology and the Environment Vol. 78. Springer Science and Business Media LLC

See Also

These are possibly similar items as determined by title/reference text matching only.

Amiri, Mahdis, Pourghasemi, Hamid Reza, Ghanbarian, Gholam Abbas, Afzali, Sayed Fakhreddin (2019) Assessment of the importance of gully erosion effective factors using Boruta algorithm and its spatial modeling and mapping using three machine learning algorithms. Geoderma, 340. 55-69 doi:10.1016/j.geoderma.2018.12.042
Chen, Wei, Pourghasemi, Hamid Reza, Naghibi, Seyed Amir (2018) A comparative study of landslide susceptibility maps produced using support vector machine with different kernel functions and entropy data mining models in China. Bulletin of Engineering Geology and the Environment, 77. 647-664 doi:10.1007/s10064-017-1010-y
Chen, Wei, Pourghasemi, Hamid Reza, Naghibi, Seyed Amir (2018) Prioritization of landslide conditioning factors and its spatial modeling in Shangnan County, China using GIS-based data mining algorithms. Bulletin of Engineering Geology and the Environment, 77. 611-629 doi:10.1007/s10064-017-1004-9
Noroozi, Farzaneh, Ghanbarian, Gholamabbas, Safaeian, Roja, Pourghasemi, Hamid Reza (2024) Forest fire mapping: a comparison between GIS-based random forest and Bayesian models. Natural Hazards, 120 (7) 6569-6592 doi:10.1007/s11069-024-06457-9
Behzadi, Saeed; Ghanbarian, Gholamabbas; Khosravi, Rasool; Safaeian, Roja; Pourghasemi, Hamid Reza (2025) Habitat Suitability of Ziziphus spina‐christi and Ziziphus nummularia in a Changing Climate in the Khalijo‐Omanian Zone, Iran. Ecology and Evolution, 15 (5). doi:10.1002/ece3.71406
Aligholi, Saeed, Lashkaripour, Gholam Reza, Ghafoori, Mohammad (2019) Estimating engineering properties of igneous rocks using semi-automatic petrographic analysis. Bulletin of Engineering Geology and the Environment, 78. 2299-2314 doi:10.1007/s10064-018-1305-7
Youssef, Ahmed Mohamed, Pourghasemi, Hamid Reza, El-Haddad, Bosy A., Dhahry, Basem K. (2016) Landslide susceptibility maps using different probabilistic and bivariate statistical models and comparison of their performance at Wadi Itwad Basin, Asir Region, Saudi Arabia. Bulletin of Engineering Geology and the Environment, 75. 63-87 doi:10.1007/s10064-015-0734-9
Mohammady, Majid, Pourghasemi, Hamid Reza, Amiri, Mojtaba (2019) Land subsidence susceptibility assessment using random forest machine learning algorithm. Environmental Earth Sciences, 78 (16). doi:10.1007/s12665-019-8518-3
Amiri, Mohammadkazem, Lashkaripour, Gholam Reza, Ghabezloo, Siavash, Hafezi Moghaddas, Nasser, Tajareh, Mojtaba Heidari (2019) 3D spatial model of Biot’s effective stress coefficient using well logs, laboratory experiments, and geostatistical method in the Gachsaran oil field, southwest of Iran. Bulletin of Engineering Geology and the Environment, 78. 4633-4646 doi:10.1007/s10064-018-1423-2
Najafi, Zeynab, Pourghasemi, Hamid Reza, Ghanbarian, Gholamabbas, Fallah Shamsi, Seyed Rashid (2020) Land-subsidence susceptibility zonation using remote sensing, GIS, and probability models in a Google Earth Engine platform. Environmental Earth Sciences, 79 (21) doi:10.1007/s12665-020-09238-2
Emami, Sayed Naeim, Yousefi, Saleh, Pourghasemi, Hamid Reza, Tavangar, Shahla, Santosh, M. (2020) A comparative study on machine learning modeling for mass movement susceptibility mapping (a case study of Iran) Bulletin of Engineering Geology and the Environment, 79 (10) 5291-5308 doi:10.1007/s10064-020-01915-7
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 5, 2025 11:09:05
Go to top of page