Vote for your favorite mineral in #MinCup25! - Stibnite vs. Okenite
It's a battle of dark and light as soft, dramatic stibnite goes up against adorable cottonballs of Okenite.
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

Arabameri, Alireza, Pradhan, Biswajeet, Pourghasemi, Hamid Reza, Rezaei, Khalil, Kerle, Norman (2018) Spatial Modelling of Gully Erosion Using GIS and R Programing: A Comparison among Three Data Mining Algorithms. Applied Sciences, 8. 1369pp. doi:10.3390/app8081369

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleSpatial Modelling of Gully Erosion Using GIS and R Programing: A Comparison among Three Data Mining Algorithms
JournalApplied Sciences
AuthorsArabameri, AlirezaAuthor
Pradhan, BiswajeetAuthor
Pourghasemi, Hamid RezaAuthor
Rezaei, KhalilAuthor
Kerle, NormanAuthor
Year2018 (August 14)Volume8
PublisherMDPI AG
DOIdoi:10.3390/app8081369Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID10097356Long-form Identifiermindat:1:5:10097356:7
GUID0
Full ReferenceArabameri, Alireza, Pradhan, Biswajeet, Pourghasemi, Hamid Reza, Rezaei, Khalil, Kerle, Norman (2018) Spatial Modelling of Gully Erosion Using GIS and R Programing: A Comparison among Three Data Mining Algorithms. Applied Sciences, 8. 1369pp. doi:10.3390/app8081369
Plain TextArabameri, Alireza, Pradhan, Biswajeet, Pourghasemi, Hamid Reza, Rezaei, Khalil, Kerle, Norman (2018) Spatial Modelling of Gully Erosion Using GIS and R Programing: A Comparison among Three Data Mining Algorithms. Applied Sciences, 8. 1369pp. doi:10.3390/app8081369
In(n.d.) Applied Sciences Vol. 8. MDPI AG

See Also

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

Arabameri, Alireza, Rezaei, Khalil, Pourghasemi, Hamid Reza, Lee, Saro, Yamani, Mojtaba (2018) GIS-based gully erosion susceptibility mapping: a comparison among three data-driven models and AHP knowledge-based technique. Environmental Earth Sciences, 77 (17). doi:10.1007/s12665-018-7808-5
Arabameri, Alireza, Pradhan, Biswajeet, Rezaei, Khalil (2019) Spatial prediction of gully erosion using ALOS PALSAR data and ensemble bivariate and data mining models. Geosciences Journal, 23. 669-686 doi:10.1007/s12303-018-0067-3
Arabameri, Alireza, Pradhan, Biswajeet, Rezaei, Khalil, Conoscenti, Christian (2019) Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques. CATENA, 180. 282-297 doi:10.1016/j.catena.2019.04.032
Arabameri, Alireza, Pradhan, Biswajeet, Bui, Dieu Tien (2020) Spatial modelling of gully erosion in the Ardib River Watershed using three statistical-based techniques. CATENA, 190. 104545 doi:10.1016/j.catena.2020.104545
Arabameri, Alireza, Pradhan, Biswajeet, Lombardo, Luigi (2019) Comparative assessment using boosted regression trees, binary logistic regression, frequency ratio and numerical risk factor for gully erosion susceptibility modelling. CATENA, 183. 104223 doi:10.1016/j.catena.2019.104223
Arabameri, Alireza, Pradhan, Biswajeet, Rezaei, Khalil, Sohrabi, Masoud, Kalantari, Zahra (2019) GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms. Journal of Mountain Science, 16 (3). 595-618 doi:10.1007/s11629-018-5168-y
Zabihi, Mohsen, Mirchooli, Fahimeh, Motevalli, Alireza, Khaledi Darvishan, Abdulvahed, Pourghasemi, Hamid Reza, Zakeri, Mohamad Ali, Sadighi, Fatemeh (2018) Spatial modelling of gully erosion in Mazandaran Province, northern Iran. CATENA, 161. 1-13 doi:10.1016/j.catena.2017.10.010
Arabameri, Alireza, Asadi Nalivan, Omid, Chandra Pal, Subodh, Chakrabortty, Rabin, Saha, Asish, Lee, Saro, Pradhan, Biswajeet, Tien Bui, Dieu (2020) Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility. Remote Sensing, 12 (17). doi:10.3390/rs12172833
Vakhshoori, Vali, Pourghasemi, Hamid Reza, Zare, Mohammad, Blaschke, Thomas (2019) Landslide Susceptibility Mapping Using GIS-Based Data Mining Algorithms. Water, 11 (11) 2292pp. doi:10.3390/w11112292
Arabameri, Alireza, Tiefenbacher, John P., Blaschke, Thomas, Pradhan, Biswajeet, Tien Bui, Dieu (2020) Morphometric Analysis for Soil Erosion Susceptibility Mapping Using Novel GIS-Based Ensemble Model. Remote Sensing, 12 (5). doi:10.3390/rs12050874
Pourghasemi, Hamid Reza, Pradhan, Biswajeet, Gokceoglu, Candan (2012) Remote Sensing Data Derived Parameters and its Use in Landslide Susceptibility Assessment Using Shannon’s Entropy and GIS. Applied Mechanics and Materials, 225. 486-491 doi:10.4028/www.scientific.net/amm.225.486
 
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 2, 2025 08:31:21
Go to top of page