Vote for your favorite mineral in #MinCup25! - Kosmochlor vs. Azurite
It's a battle of green vs blue as rare but vibrant chromium-bearing kosmochlor up against the deep blue copper alteration mineral azurite.
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

Zhu, A-Xing, Miao, Yamin, Liu, Junzhi, Bai, Shibiao, Zeng, Canying, Ma, Tianwu, Hong, Haoyuan (2019) A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods. CATENA, 183. 104188 doi:10.1016/j.catena.2019.104188

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods
JournalCATENA
AuthorsZhu, A-XingAuthor
Miao, YaminAuthor
Liu, JunzhiAuthor
Bai, ShibiaoAuthor
Zeng, CanyingAuthor
Ma, TianwuAuthor
Hong, HaoyuanAuthor
Year2019 (December)Volume183
PublisherElsevier BV
DOIdoi:10.1016/j.catena.2019.104188Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID16570895Long-form Identifiermindat:1:5:16570895:1
GUID0
Full ReferenceZhu, A-Xing, Miao, Yamin, Liu, Junzhi, Bai, Shibiao, Zeng, Canying, Ma, Tianwu, Hong, Haoyuan (2019) A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods. CATENA, 183. 104188 doi:10.1016/j.catena.2019.104188
Plain TextZhu, A-Xing, Miao, Yamin, Liu, Junzhi, Bai, Shibiao, Zeng, Canying, Ma, Tianwu, Hong, Haoyuan (2019) A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods. CATENA, 183. 104188 doi:10.1016/j.catena.2019.104188
In(2019) CATENA Vol. 183. Elsevier BV

See Also

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

Zhu, A-Xing, Miao, Yamin, Yang, Lin, Bai, Shibiao, Liu, Junzhi, Hong, Haoyuan (2018) Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping. CATENA, 171. 222-233 doi:10.1016/j.catena.2018.07.012
Hong, Haoyuan, Miao, Yamin, Liu, Junzhi, Zhu, A-Xing (2019) Exploring the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping. CATENA, 176. 45-64 doi:10.1016/j.catena.2018.12.035
Zhu, A-Xing, Miao, Yamin, Wang, Rongxun, Zhu, Tongxin, Deng, Yongcui, Liu, Junzhi, Yang, Lin, Qin, Cheng-Zhi, Hong, Haoyuan (2018) A comparative study of an expert knowledge-based model and two data-driven models for landslide susceptibility mapping. CATENA, 166. 317-327 doi:10.1016/j.catena.2018.04.003
Liu, Xueqi, Zhu, A-Xing, Yang, Lin, Pei, Tao, Qi, Feng, Liu, Junzhi, Wang, Desheng, Zeng, Canying, Ma, Tianwu (2022) Influence of legacy soil map accuracy on soil map updating with data mining methods. Geoderma, 416. 115802pp. doi:10.1016/j.geoderma.2022.115802
Wang, Yi, Duan, Hexiang, Hong, Haoyuan (2019) A comparative study of composite kernels for landslide susceptibility mapping: A case study in Yongxin County, China. CATENA, 183. 104217 doi:10.1016/j.catena.2019.104217
Hong, Haoyuan, Liu, Junzhi, Bui, Dieu Tien, Pradhan, Biswajeet, Acharya, Tri Dev, Pham, Binh Thai, Zhu, A-Xing, Chen, Wei, Ahmad, Baharin Bin (2018) Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) CATENA, 163. 399-413 doi:10.1016/j.catena.2018.01.005
Hong, Haoyuan, Liu, Junzhi, Zhu, A-Xing (2019) Landslide susceptibility evaluating using artificial intelligence method in the Youfang district (China). Environmental Earth Sciences, 78 (15). doi:10.1007/s12665-019-8415-9
Chen, Wei, Xie, Xiaoshen, Peng, Jianbing, Shahabi, Himan, Hong, Haoyuan, Bui, Dieu Tien, Duan, Zhao, Li, Shaojun, Zhu, A-Xing (2018) GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method. CATENA, 164. 135-149 doi:10.1016/j.catena.2018.01.012
Hong, Haoyuan, Liu, Junzhi, Zhu, A-Xing (2020) Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble. Science of The Total Environment, 718. 137231pp. doi:10.1016/j.scitotenv.2020.137231
Zeng, Canying, Qi, Feng, Zhu, A-Xing, Liu, Feng (2020) Construction of land surface dynamic feedback for digital soil mapping considering the spatial heterogeneity of rainfall magnitude. CATENA, 191. 104576 doi:10.1016/j.catena.2020.104576
Kornejady, Aiding, Ownegh, Majid, Bahremand, Abdolreza (2017) Landslide susceptibility assessment using maximum entropy model with two different data sampling methods. CATENA, 152. 144-162 doi:10.1016/j.catena.2017.01.010
 
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 Β© 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 9, 2025 02:34:30
Go to top of page