An innovative, fast method for landslide susceptibility mapping using GIS-based LSAT toolbox

In this study, landslide susceptibility maps (LSM) of the Akıncılar region were produced with the methods of frequency ratio (FR), information value (IV), logistic regression (LR), random forest (RF), and multi-layer perceptron (MLP) by using a new GIS-based toolbox (LSAT, Landslide Susceptibility A...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Environmental earth sciences Jg. 80; H. 6; S. 217
1. Verfasser:	Polat, Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2021 Springer Nature B.V
Schlagworte:	Biogeosciences Earth and Environmental Science Earth Sciences Earthquakes Environmental Science and Engineering Geochemistry Geographic information systems Geographical information systems Geology Hydrology/Water Resources Landslides Landslides & mudslides Methods Model accuracy Multilayers Original Article prediction regression analysis Support vector machines Susceptibility Terrestrial Pollution Geographic information system (GIS) Landslide susceptibility Weka Akıncılar Python scripting
ISSN:	1866-6280, 1866-6299
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Abstract	In this study, landslide susceptibility maps (LSM) of the Akıncılar region were produced with the methods of frequency ratio (FR), information value (IV), logistic regression (LR), random forest (RF), and multi-layer perceptron (MLP) by using a new GIS-based toolbox (LSAT, Landslide Susceptibility Assessment Tool). LSAT was used to assess the landslide susceptibility of the Akıncılar region located 150 km northwest of Sivas city (Turkey). LSM was successfully constructed using five different methods for the study area. Area under the curve (AUC) values were calculated as 70.95%, 71.85%, 72.57%, 72.67%, 73.93% for prediction rate of FR, IV, LR, MLP and RF methods, respectively. Time-consuming processes are one of the significant problems of constructing LSM. LSAT can be used easily in this type of study and minimizes such problems. Data preparation processes, visualization of modeling results, and accuracy assessment of LSM could very quickly and automatically be done thanks to this tool.
AbstractList	In this study, landslide susceptibility maps (LSM) of the Akıncılar region were produced with the methods of frequency ratio (FR), information value (IV), logistic regression (LR), random forest (RF), and multi-layer perceptron (MLP) by using a new GIS-based toolbox (LSAT, Landslide Susceptibility Assessment Tool). LSAT was used to assess the landslide susceptibility of the Akıncılar region located 150 km northwest of Sivas city (Turkey). LSM was successfully constructed using five different methods for the study area. Area under the curve (AUC) values were calculated as 70.95%, 71.85%, 72.57%, 72.67%, 73.93% for prediction rate of FR, IV, LR, MLP and RF methods, respectively. Time-consuming processes are one of the significant problems of constructing LSM. LSAT can be used easily in this type of study and minimizes such problems. Data preparation processes, visualization of modeling results, and accuracy assessment of LSM could very quickly and automatically be done thanks to this tool.
ArticleNumber	217
Author	Polat, Ali
Author_xml	– sequence: 1 givenname: Ali orcidid: 0000-0002-9147-3633 surname: Polat fullname: Polat, Ali email: ali.polat@afad.gov.tr organization: Provincial Directorate of Disaster and Emergency Management of Turkey
BookMark	eNp9kEFPwyAYhonRxDn3BzyRePFgFcpK4bgsOpcs8bB5MyG0hcnSQQVq3L-XOaOJh3H4Pg7PC2-eC3BqnVUAXGF0hxEq7wPOKS0ylOMM8QLjbHcCBphRmtGc89PfO0PnYBTCBqVDMOGIDsDrxEJjrfuQ0XyoW6hliHCr4ptroHYettI2oTWNgqEPteqiqUxr4g5uZdcZu4Z92M_ZfJlVMqgGLpaTFYzOtZX7vARnWrZBjX72ELw8PqymT9nieTafThaZJGURM1UyRiTHmjHelLoiiGlCG4Y5rTXJ66JhPC3KmlrTiqkxrjWvEBsXKC-KmpIhuDm823n33qsQxdaksm0qr1wfRKIwLylGJKHX_9CN671N7UQ-3jM8zUTlB6r2LgSvtOi82Uq_ExiJvXNxcC6Sc_HtXOxSiP0L1SYmrc5GL017PEoO0ZD-sWvl_1odSX0BS0uX8g
CitedBy_id	crossref_primary_10_3390_s23052549 crossref_primary_10_3389_feart_2022_872192 crossref_primary_10_1007_s00477_022_02245_8 crossref_primary_10_1016_j_apor_2024_104237 crossref_primary_10_1108_EC_07_2023_0374 crossref_primary_10_3390_rs15225427 crossref_primary_10_3390_rs14143259 crossref_primary_10_3389_feart_2022_842425 crossref_primary_10_3390_rs15225316 crossref_primary_10_1007_s11069_023_06099_3 crossref_primary_10_1007_s11069_021_04928_x crossref_primary_10_3390_ijgi12110456 crossref_primary_10_1142_S0129156425402517 crossref_primary_10_1071_WF25089
Cites_doi	10.1016/j.catena.2016.11.032 10.1007/s11069-015-1799-2 10.1002/esp.263 10.1016/S0166-2481(08)00007-X 10.5194/gmd-8-1991-2015 10.1007/978-3-642-25495-6_2 10.1080/10106049.2018.1516248 10.1007/s10346-015-0557-6 10.1016/j.geomorph.2004.09.025 10.1007/s11069-008-9305-8 10.1002/hyp.3360050103 10.1144/GSL.QJEG.1983.016.04.10 10.1016/j.cageo.2012.08.023 10.1007/s10346-012-0342-8 10.1016/j.cageo.2011.04.012 10.5194/gmd-8-881-2015 10.1080/02723646.2018.1559583 10.1007/s00254-005-1228-z 10.1007/s11069-016-2304-2 10.1016/j.catena.2012.05.005 10.7551/mitpress/5236.001.0001 10.1007/978-3-319-09057-3_208 10.1007/s11629-020-6261-6 10.1007/s11069-013-0932-3 10.1007/s10346-007-0088-x 10.1016/j.cageo.2011.09.011 10.1016/j.envsoft.2019.104565 10.1080/10106049.2019.1588393 10.1023/A:1010933404324 10.1080/10106049.2016.1195886 10.3390/s19183940 10.1080/10106049.2017.1323964 10.1016/j.scitotenv.2019.01.221 10.1007/s10346-012-0380-2 10.5194/hess-10-101-2006 10.1016/j.enggeo.2005.02.002 10.3390/rs11090999 10.1155/2010/901095 10.1016/j.catena.2014.02.005 10.1016/S0165-232X(03)00080-6 10.1007/s005310050149 10.1016/j.geomorph.2006.10.036 10.1016/j.cageo.2016.10.001 10.1007/s12517-015-2094-y 10.1127/zfg_suppl/2016/0328 10.1109/MASSP.1987.1165576 10.1016/j.cageo.2013.12.016 10.1007/s11069-012-0218-1 10.1007/s10107-016-1030-6 10.1007/s12517-012-0610-x 10.1080/20964471.2018.1472392 10.5194/isprs-archives-XLII-4-W12-41-2019 10.1007/s10064-019-01548-5 10.1007/s10064-015-0759-0 10.3390/app8122540 10.1016/j.geomorph.2005.06.002 10.3390/w11071402 10.1155/2012/974638 10.3390/app9050942 10.1007/s12665-015-5233-6 10.1007/s10661-018-7085-5 10.1080/09853111.2013.861997 10.1016/j.earscirev.2012.02.001 10.1016/j.catena.2015.05.019 10.1016/j.cageo.2012.01.002 10.1016/j.enggeo.2006.09.020 10.1007/s11069-012-0347-6 10.1016/j.enggeo.2005.07.011 10.1016/j.gr.2020.08.007 10.1109/GEOINFORMATICS.2014.6950846 10.18182/tjf.31067 10.1016/j.proenv.2011.09.321 10.1109/ICECENG.2011.6057428 10.1109/GEOINFORMATICS.2010.5567701
ContentType	Journal Article
Copyright	The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021 The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021.
Copyright_xml	– notice: The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021 – notice: The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021.
DBID	AAYXX CITATION 3V. 7ST 7TG 7UA 7XB 88I 8FK ABUWG AEUYN AFKRA ATCPS AZQEC BENPR BHPHI BKSAR C1K CCPQU DWQXO F1W GNUQQ H96 HCIFZ KL. L.G M2P PATMY PCBAR PHGZM PHGZT PKEHL PQEST PQQKQ PQUKI PYCSY Q9U SOI 7S9 L.6
DOI	10.1007/s12665-021-09511-y
DatabaseName	CrossRef ProQuest Central (Corporate) Environment Abstracts Meteorological & Geoastrophysical Abstracts Water Resources Abstracts ProQuest Central (purchase pre-March 2016) Science Database (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) One Sustainability ProQuest Central UK/Ireland Agricultural & Environmental Science Collection ProQuest Central Essentials ProQuest Central Natural Science Collection Earth, Atmospheric & Aquatic Science Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Central ASFA: Aquatic Sciences and Fisheries Abstracts ProQuest Central Student Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources SciTech Premium Collection Meteorological & Geoastrophysical Abstracts - Academic Aquatic Science & Fisheries Abstracts (ASFA) Professional Science Database Environmental Science Database Earth, Atmospheric & Aquatic Science Database ProQuest Central Premium ProQuest One Academic ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic (retired) ProQuest One Academic UKI Edition Environmental Science Collection ProQuest Central Basic Environment Abstracts AGRICOLA AGRICOLA - Academic
DatabaseTitle	CrossRef Aquatic Science & Fisheries Abstracts (ASFA) Professional ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College Water Resources Abstracts Environmental Sciences and Pollution Management ProQuest Central Earth, Atmospheric & Aquatic Science Collection ProQuest One Sustainability Meteorological & Geoastrophysical Abstracts Natural Science Collection ProQuest Central Korea Agricultural & Environmental Science Collection ProQuest Central (New) ProQuest Science Journals (Alumni Edition) ProQuest Central Basic ProQuest Science Journals ProQuest One Academic Eastern Edition Earth, Atmospheric & Aquatic Science Database Environmental Science Collection Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources ProQuest One Academic UKI Edition ASFA: Aquatic Sciences and Fisheries Abstracts Environmental Science Database ProQuest One Academic Environment Abstracts Meteorological & Geoastrophysical Abstracts - Academic ProQuest Central (Alumni) ProQuest One Academic (New) AGRICOLA AGRICOLA - Academic
DatabaseTitleList	AGRICOLA Aquatic Science & Fisheries Abstracts (ASFA) Professional
Database_xml	– sequence: 1 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Geology
EISSN	1866-6299
EndPage	217
ExternalDocumentID	10_1007_s12665_021_09511_y
GroupedDBID	-5A -5G -BR -DZ -EM -Y2 -~C .4S .DC 06D 0R~ 0VY 199 1N0 203 2J2 2JN 2JY 2KG 2KM 2LR 2VQ 30V 3V. 4.4 406 408 40D 40E 4P2 5VS 67M 67Z 6NX 7XC 88I 8FE 8FH 8UJ 95- 95. 95~ 96X AAAVM AABHQ AACDK AAGAY AAHBH AAHNG AAIAL AAJBT AAJKR AANZL AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABBBX ABDZT ABECU ABFTD ABFTV ABHLI ABHQN ABJNI ABJOX ABKCH ABKTR ABMQK ABNWP ABQBU ABQSL ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABUWG ABWNU ABXPI ACAOD ACBXY ACCUX ACDTI ACGFS ACGOD ACHSB ACHXU ACKNC ACMDZ ACMLO ACOKC ACPIV ACZOJ ADHHG ADHIR ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEUYN AEVLU AEXYK AFBBN AFKRA AFLOW AFQWF AFRAH AFWTZ AFZKB AGAYW AGDGC AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARCSS ARMRJ ASPBG ATCPS AVWKF AXYYD AYJHY AZFZN AZQEC B-. BDATZ BENPR BGNMA BHPHI BKSAR BPHCQ BSONS CAG CCPQU COF CSCUP DDRTE DNIVK DPUIP DU5 DWQXO EBD EBLON EBS ECGQY EDH EDO EIOEI EJD ESBYG FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNUQQ GNWQR GQ6 GQ7 H13 HCIFZ HF~ HG5 HG6 HMJXF HRMNR HVGLF HZ~ I-F IKXTQ ITM IWAJR J-C J0Z JBSCW JZLTJ KOV L8X LK5 LLZTM M2P M4Y M7R MA- ML. MQGED N2Q N9A NB0 NPVJJ NQJWS NU0 O9- O93 O9J PATMY PCBAR PF- PQQKQ PROAC PT4 PYCSY Q2X QOS R89 R9I ROL RSV S16 S1Z S27 S3B SAP SEV SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 TSG TSV TUC TUS U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WK8 YLTOR Z45 Z5O Z7R Z7V Z7W Z7Y Z7Z Z81 Z83 Z85 ZCG ZMTXR ~02 ~A9 AAPKM AAYXX ABBRH ABDBE ABFSG ABRTQ ACSTC ADHKG AEZWR AFDZB AFFHD AFHIU AFOHR AGQPQ AHPBZ AHWEU AIXLP ATHPR AYFIA BANNL CITATION PHGZM PHGZT 7ST 7TG 7UA 7XB 8FK C1K F1W H96 KL. L.G PKEHL PQEST PQUKI Q9U SOI 7S9 L.6 PUEGO
ID	FETCH-LOGICAL-a375t-e7883a91f889d7fb308f36d8196cf32c5d8932c68dcf6b8e41cf9b08450255c63
IEDL.DBID	M2P
ISICitedReferencesCount	18
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000625941800001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1866-6280
IngestDate	Fri Sep 05 13:05:06 EDT 2025 Tue Dec 02 16:28:46 EST 2025 Sat Nov 29 02:05:32 EST 2025 Tue Nov 18 22:35:35 EST 2025 Fri Feb 21 02:49:50 EST 2025
IsPeerReviewed	true
IsScholarly	true
Issue	6
Keywords	Geographic information system (GIS) Landslide susceptibility Weka Akıncılar Python scripting
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-a375t-e7883a91f889d7fb308f36d8196cf32c5d8932c68dcf6b8e41cf9b08450255c63
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ORCID	0000-0002-9147-3633
PQID	2497619497
PQPubID	54063
PageCount	1
ParticipantIDs	proquest_miscellaneous_2551976103 proquest_journals_2497619497 crossref_primary_10_1007_s12665_021_09511_y crossref_citationtrail_10_1007_s12665_021_09511_y springer_journals_10_1007_s12665_021_09511_y
PublicationCentury	2000
PublicationDate	2021-03-01
PublicationDateYYYYMMDD	2021-03-01
PublicationDate_xml	– month: 03 year: 2021 text: 2021-03-01 day: 01
PublicationDecade	2020
PublicationPlace	Berlin/Heidelberg
PublicationPlace_xml	– name: Berlin/Heidelberg – name: Heidelberg
PublicationTitle	Environmental earth sciences
PublicationTitleAbbrev	Environ Earth Sci
PublicationYear	2021
Publisher	Springer Berlin Heidelberg Springer Nature B.V
Publisher_xml	– name: Springer Berlin Heidelberg – name: Springer Nature B.V
References	Arabameri, Pradhan, Rezaei, Lee (CR4) 2019; 11 Baeza, Corominas (CR6) 2001; 26 Narayanan, Sivakumar (CR51) 2018; 118 Tatar, Gursoy, Kocbulut, Mesci (CR79) 2005; 941 Hong, Pradhan, Xu, Tien Bui (CR38) 2015; 133 Sezer, Nefeslioglu, Osna (CR75) 2016; 98 Song, Gong, Gao, Wang, Cui, Li, Wei (CR76) 2012; 42 Conrad, Bechtel, Bock, Dietrich, Fischer, Gerlitz, Wehberg, Wichmann, Böhner (CR17) 2015; 8 Pham, Bui, Prakash, Dholakia (CR61) 2016; 83 Ulusay, Aydan, Kılıc (CR83) 2007; 89 Bonham-Carter (CR11) 1994; 13 Nefeslioglu, Sezer, Gökçeoğlu, Bozkir, Duman (CR53) 2010; 2010 CR32 Xu, Xu, Dai, Saraf (CR86) 2012; 46 CR30 Fan, Chang, Hsieh, Wang, Lin (CR31) 2008; 9 Gökçeoğlu, Sonmez, Nefeslioglu, Duman, Can (CR33) 2005; 81 Pradhan (CR67) 2013; 51 Yeşilnacar, Topal (CR87) 2005; 79 Lee, Talib (CR45) 2005; 47 Umar, Pradhan, Ahmad, Jebur, Tehrany (CR84) 2014; 118 Rumelhart, Hinton, Williams, Rumelhart, McClelland (CR71) 1986 Tien Bui, Pradhan, Lofman, Revhaug (CR80) 2012; 2012 Pourghasemi, Pradhan, Gökçeoğlu, Moezzi, Pradhan, Buchroithner (CR66) 2012 Breiman (CR13) 2001; 45 Dou, Yamagishi, Pourghasemi, Yunus, Song, Xu, Zhu (CR25) 2015; 78 Maggioni, Gruber (CR49) 2003; 37 CR2 Taalab, Cheng, Zhang (CR78) 2018; 2 Gruber, Peckham, Hengl, Reuter (CR34) 2009 CR7 Köse, Turk (CR44) 2019; 40 Guzzetti, Reichenbach, Ardizzone, Cardinali, Galli (CR35) 2005; 72 Jimenez-Peralvarez, Irigaray, El Hamdouni, Chacon (CR41) 2009; 50 CR48 Lippmann (CR47) 1987; 4 Ermini, Catani, Casagli (CR29) 2005; 66 CR88 CR82 Sahin, Colkesen, Kavzoglu (CR72) 2020; 35 Van Westen, Rengers, Terlien, Soeters (CR85) 1997; 86 Cui, Lu, Li (CR18) 2016; 32 Devkota, Regmi, Pourghasemi, Yoshida, Pradhan, Ryu, Dhital, Althuwaynee (CR22) 2013; 65 Nohani, Moharrami, Sharafi, Khosravi, Pradhan, Pham, Lee, Melesse (CR54) 2019; 11 Zare, Pourghasemi, Vafakhah, Pradhan (CR89) 2013; 6 Osna, Sezer, Akgun (CR56) 2014; 66 Pourghasemi, Mohammady, Pradhan (CR65) 2012; 97 Rozycka, Migoń, Michniewicz (CR70) 2016; 61 Jones, Brunsden, Goudie (CR42) 1983; 16 Moore, Grayson, Ladson (CR50) 1991; 5 Chen, Xie, Wang, Pradhan, Hong, Bui, Duan, Ma (CR14) 2017; 151 Akgün, Sezer, Nefeslioğlu, Pradhan (CR3) 2012; 38 Bernard, Liengme (CR9) 2002 Chen, Zhao, Shahabi, Shirzadi, Khosravi, Chai, Zhang, Zhang, Ma, Chen (CR16) 2019; 34 Jebur, Pradhan, Shafri, Yusoff, Tehrany (CR40) 2015; 8 Sorensen, Zinko, Seibert (CR77) 2006; 10 Park, Kim (CR59) 2019; 9 Polat, Tatar, Gürsoy, Yalçiner, Büyüksaraç (CR63) 2014; 25 Aghdam, Varzandeh, Pradhan (CR1) 2016; 75 Lee, Ryu, Kim (CR46) 2007; 4 Arca, Kutoğlu, Becek (CR5) 2018; 190 Das, Sonmez, Gökçeoğlu, Nefeslioğlu (CR20) 2013; 10 Polat, Erik (CR64) 2020; 17 CR91 CR90 Chen, Shahabi, Zhang, Khosravi, Shirzadi, Chapi, Pham, Zhang, Zhang, Chai (CR15) 2018; 8 Hong, Naghibi, Pourghasemi, Pradhan (CR39) 2016; 9 Nefeslioglu, Duman, Durmaz (CR52) 2008; 94 Boehner, Selige, Boehner, McCloy, Strobl (CR10) 2006 Guzzetti, Mondini, Cardinali, Fiorucci, Santangelo, Chang (CR36) 2012; 112 Palamakumbure, Stirling, Flentje, Chowdhury, Lollino, Giordian, Crosta, Corominas, Azzam, Wasowski, Sciarra (CR58) 2015 Schmidt, Roux, Bach (CR73) 2017; 162 Bragagnolo, da Silva, Grzybowski (CR12) 2019; 123 Dou, Yunus, Bui, Merghadi, Sahana, Zhu, Chen, Khosravi, Yang, Pham (CR26) 2019; 662 Riley, DeGloria, Elliot (CR69) 1999; 5 Nourani, Pradhan, Ghaffari, Sharifi (CR55) 2014; 71 Benchelha, Aoudjehane, Hakdaoui, Hamdouni, Mansouri, Benchelha, Layelmam, Alaoui (CR8) 2019; 4 Kim, Lee, Jung, Lee (CR43) 2018; 33 CR28 Regmi, Giardino, McDonald, Vitek (CR68) 2014; 11 Dagdelenler, Nefeslioglu, Gökçeoğlu (CR19) 2016; 75 CR27 CR24 CR23 CR21 CR62 Tien Bui, Tuan, Klempe, Pradhan, Revhaug (CR81) 2015; 13 Ozer, Mutlu, Nefeslioglu, Sezer, Rouai, Dekayir, Gokceoglu (CR57) 2020; 79 Sevgen, Kocaman, Nefeslioglu, Gökçeoğlu (CR74) 2019; 19 Pedregosa, Varoquaux, Gramfort, Michel, Thirion, Grisel, Blondel, Prettenhofer, Weiss, Dubourg, Vanderplas (CR60) 2011; 12 Hasekioğulları, Ercanoğlu (CR37) 2012; 63 W Chen (9511_CR14) 2017; 151 S Benchelha (9511_CR8) 2019; 4 C Gökçeoğlu (9511_CR33) 2005; 81 M Schmidt (9511_CR73) 2017; 162 MN Jebur (9511_CR40) 2015; 8 HY Hong (9511_CR38) 2015; 133 O Conrad (9511_CR17) 2015; 8 9511_CR90 9511_CR91 A Arabameri (9511_CR4) 2019; 11 GD Hasekioğulları (9511_CR37) 2012; 63 T Osna (9511_CR56) 2014; 66 H Hong (9511_CR39) 2016; 9 HR Pourghasemi (9511_CR65) 2012; 97 A Polat (9511_CR64) 2020; 17 D Tien Bui (9511_CR80) 2012; 2012 DD Köse (9511_CR44) 2019; 40 L Bragagnolo (9511_CR12) 2019; 123 W Chen (9511_CR15) 2018; 8 C Xu (9511_CR86) 2012; 46 S Gruber (9511_CR34) 2009 M Rozycka (9511_CR70) 2016; 61 GF Bonham-Carter (9511_CR11) 1994; 13 S Lee (9511_CR45) 2005; 47 BC Ozer (9511_CR57) 2020; 79 9511_CR82 S Park (9511_CR59) 2019; 9 J Dou (9511_CR25) 2015; 78 V Nourani (9511_CR55) 2014; 71 K Cui (9511_CR18) 2016; 32 HA Nefeslioglu (9511_CR53) 2010; 2010 O Tatar (9511_CR79) 2005; 941 9511_CR48 ID Moore (9511_CR50) 1991; 5 G Dagdelenler (9511_CR19) 2016; 75 R Sorensen (9511_CR77) 2006; 10 D Palamakumbure (9511_CR58) 2015 9511_CR88 C Baeza (9511_CR6) 2001; 26 D Arca (9511_CR5) 2018; 190 A Polat (9511_CR63) 2014; 25 V Bernard (9511_CR9) 2002 L Ermini (9511_CR29) 2005; 66 HR Pourghasemi (9511_CR66) 2012 S Lee (9511_CR46) 2007; 4 EA Sezer (9511_CR75) 2016; 98 E Yeşilnacar (9511_CR87) 2005; 79 S Narayanan (9511_CR51) 2018; 118 D Tien Bui (9511_CR81) 2015; 13 RP Lippmann (9511_CR47) 1987; 4 DE Rumelhart (9511_CR71) 1986 M Zare (9511_CR89) 2013; 6 L Breiman (9511_CR13) 2001; 45 9511_CR30 F Guzzetti (9511_CR36) 2012; 112 E Nohani (9511_CR54) 2019; 11 K Taalab (9511_CR78) 2018; 2 HO Das (9511_CR20) 2013; 10 KC Devkota (9511_CR22) 2013; 65 IN Aghdam (9511_CR1) 2016; 75 E Sevgen (9511_CR74) 2019; 19 9511_CR32 Y Song (9511_CR76) 2012; 42 M Maggioni (9511_CR49) 2003; 37 W Chen (9511_CR16) 2019; 34 B Pradhan (9511_CR67) 2013; 51 F Pedregosa (9511_CR60) 2011; 12 D Jones (9511_CR42) 1983; 16 J Kim (9511_CR43) 2018; 33 BT Pham (9511_CR61) 2016; 83 NR Regmi (9511_CR68) 2014; 11 R Ulusay (9511_CR83) 2007; 89 F Guzzetti (9511_CR35) 2005; 72 Z Umar (9511_CR84) 2014; 118 A Akgün (9511_CR3) 2012; 38 CJ Van Westen (9511_CR85) 1997; 86 J Dou (9511_CR26) 2019; 662 SJ Riley (9511_CR69) 1999; 5 9511_CR2 9511_CR62 9511_CR7 JD Jimenez-Peralvarez (9511_CR41) 2009; 50 9511_CR24 HA Nefeslioglu (9511_CR52) 2008; 94 J Boehner (9511_CR10) 2006 9511_CR27 9511_CR21 9511_CR23 9511_CR28 RE Fan (9511_CR31) 2008; 9 EK Sahin (9511_CR72) 2020; 35
References_xml	– volume: 151 start-page: 147 year: 2017 end-page: 160 ident: CR14 article-title: A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility publication-title: Catena doi: 10.1016/j.catena.2016.11.032 – volume: 78 start-page: 1749 year: 2015 end-page: 1776 ident: CR25 article-title: An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan publication-title: Nat Hazards doi: 10.1007/s11069-015-1799-2 – volume: 26 start-page: 1251 year: 2001 end-page: 1263 ident: CR6 article-title: Assessment of shallow landslides susceptibility by means of multivariate statistical techniques publication-title: Earth Surf Process Landf doi: 10.1002/esp.263 – start-page: 171 year: 2009 end-page: 194 ident: CR34 article-title: Land surface parameters and objects in hydrology publication-title: Geomorphometry: concepts, software, applications doi: 10.1016/S0166-2481(08)00007-X – volume: 8 start-page: 1991 year: 2015 end-page: 2007 ident: CR17 article-title: System for automated geoscientific analyses (SAGA) v. 2.1.4 publication-title: Geosci Model Dev doi: 10.5194/gmd-8-1991-2015 – start-page: 23 year: 2012 end-page: 49 ident: CR66 article-title: Landslide susceptibility mapping using a spatial multi criteria evaluation model at Haraz watershed, Iran publication-title: Terrigenous mass movements doi: 10.1007/978-3-642-25495-6_2 – year: 2002 ident: CR9 publication-title: A guide to Microsoft excel 2002 for scientists and engineers – volume: 9 start-page: 1871 issue: 2008 year: 2008 end-page: 1874 ident: CR31 article-title: LIBLINEAR: a library for large linear classification publication-title: J Mach Learn Res – volume: 35 start-page: 341 issue: 4 year: 2020 end-page: 363 ident: CR72 article-title: A comparative assessment of canonical correlation forest, random forest, rotation forest and logistic regression methods for landslide susceptibility mapping publication-title: Geocarto Int doi: 10.1080/10106049.2018.1516248 – volume: 941 start-page: 5 year: 2005 end-page: 6 ident: CR79 article-title: Active fault zones and landslides: the 17 March 2005 Kuzulu (Koyulhisar) landslide publication-title: Cumhuriyet Bilim Teknik Dergisi – volume: 118 start-page: 377 issue: 22 year: 2018 end-page: 382 ident: CR51 article-title: Development of ArcPy based customized tool in GIS for seismic information system publication-title: Int J Pure Appl Math – volume: 13 start-page: 361 year: 2015 end-page: 378 ident: CR81 article-title: Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree publication-title: Landslides doi: 10.1007/s10346-015-0557-6 – volume: 66 start-page: 327 issue: 1–4 year: 2005 end-page: 343 ident: CR29 article-title: Artificial neural networks applied to landslide susceptibility assessment publication-title: Geomorphology doi: 10.1016/j.geomorph.2004.09.025 – volume: 50 start-page: 571 issue: 3 year: 2009 end-page: 590 ident: CR41 article-title: Building models for automatic landslide-susceptibility analysis, mapping and validation in ArcGIS publication-title: Nat Hazards doi: 10.1007/s11069-008-9305-8 – volume: 5 start-page: 3 year: 1991 end-page: 30 ident: CR50 article-title: Digital terrain modeling—a review of hydrological geomorphological and biological applications publication-title: Hydrol Process doi: 10.1002/hyp.3360050103 – volume: 16 start-page: 331 year: 1983 end-page: 355 ident: CR42 article-title: A preliminary geomorphological assessment of part of the Karakoram highway publication-title: Q J Eng Geol Hydrogeol doi: 10.1144/GSL.QJEG.1983.016.04.10 – volume: 51 start-page: 350 year: 2013 end-page: 365 ident: CR67 article-title: A comparative study on the predictive ability of the decision tree support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS publication-title: Comput Geosci doi: 10.1016/j.cageo.2012.08.023 – volume: 10 start-page: 433 year: 2013 end-page: 454 ident: CR20 article-title: Influence of seismic acceleration on landslide susceptibility maps: a case study from NE Turkey (the Kelkit Valley) publication-title: Landslides doi: 10.1007/s10346-012-0342-8 – volume: 38 start-page: 23 issue: 1 year: 2012 end-page: 34 ident: CR3 article-title: An easy to use MATLAB program (MamLand) for the assessment of landslide susceptibility using Mamdani fuzzy algorithm publication-title: Comput Geosci doi: 10.1016/j.cageo.2011.04.012 – volume: 8 start-page: 881 year: 2015 end-page: 891 ident: CR40 article-title: An integrated user-friendly ArcMAP tool for bivariate statistical modelling in geoscience applications publication-title: Geosci Model Dev doi: 10.5194/gmd-8-881-2015 – volume: 40 start-page: 481 issue: 5 year: 2019 end-page: 501 ident: CR44 article-title: GIS-based fully automatic landslide susceptibility analysis by weight-of-evidence and frequency ratio methods publication-title: Phys Geogr doi: 10.1080/02723646.2018.1559583 – ident: CR21 – volume: 47 start-page: 982 year: 2005 end-page: 990 ident: CR45 article-title: Probabilistic landslide susceptibility and factor effect analysis publication-title: Environ Geol doi: 10.1007/s00254-005-1228-z – volume: 83 start-page: 97 year: 2016 end-page: 127 ident: CR61 article-title: Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS publication-title: Nat Hazards doi: 10.1007/s11069-016-2304-2 – volume: 97 start-page: 71 year: 2012 end-page: 84 ident: CR65 article-title: Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran publication-title: Catena doi: 10.1016/j.catena.2012.05.005 – start-page: 318 year: 1986 end-page: 362 ident: CR71 article-title: Learning internal representations by error propagation publication-title: Parallel distributed processing doi: 10.7551/mitpress/5236.001.0001 – start-page: 1191 year: 2015 end-page: 1194 ident: CR58 article-title: ArcGIS v.10 landslide susceptibility data mining add-in tool integrating data mining and GIS techniques to model landslide susceptibility publication-title: Engineering geology for society and territory doi: 10.1007/978-3-319-09057-3_208 – volume: 17 start-page: 2611 year: 2020 end-page: 2623 ident: CR64 article-title: Debris flow susceptibility and propagation assessment in West Koyulhisar, Turkey publication-title: J Mt Sci doi: 10.1007/s11629-020-6261-6 – volume: 71 start-page: 523 year: 2014 end-page: 547 ident: CR55 article-title: Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models publication-title: Nat Hazards doi: 10.1007/s11069-013-0932-3 – ident: CR88 – volume: 4 start-page: 327 issue: 4 year: 2007 end-page: 338 ident: CR46 article-title: Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin Korea publication-title: Landslides doi: 10.1007/s10346-007-0088-x – volume: 42 start-page: 189 year: 2012 end-page: 199 ident: CR76 article-title: Susceptibility assessment of earthquake-induced landslides using Bayesian network: a case study in Beichuan China publication-title: Comput Geosci doi: 10.1016/j.cageo.2011.09.011 – volume: 123 start-page: 104565 year: 2019 ident: CR12 article-title: Landslide susceptibility mapping with r.landslide: a free open-source GIS-integrated tool based on artificial neural networks publication-title: Environ Model Softw doi: 10.1016/j.envsoft.2019.104565 – volume: 34 start-page: 1177 issue: 11 year: 2019 end-page: 1201 ident: CR16 article-title: Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree publication-title: Geocarto Int doi: 10.1080/10106049.2019.1588393 – volume: 45 start-page: 5 year: 2001 end-page: 32 ident: CR13 article-title: Random forests publication-title: Mach Learn doi: 10.1023/A:1010933404324 – volume: 32 start-page: 935 issue: 9 year: 2016 end-page: 955 ident: CR18 article-title: Comparison of landslide susceptibility mapping based on statistical index, certainty factors, weights of evidence and evidential belief function models publication-title: Geocarto Int doi: 10.1080/10106049.2016.1195886 – volume: 19 start-page: 3940 issue: 18 year: 2019 ident: CR74 article-title: A novel performance assessment approach using photogrammetric techniques for landslide susceptibility mapping with logistic regression, ANN and random forest publication-title: Sensors doi: 10.3390/s19183940 – ident: CR32 – volume: 33 start-page: 1000 issue: 9 year: 2018 end-page: 1015 ident: CR43 article-title: Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea publication-title: Geocarto Int doi: 10.1080/10106049.2017.1323964 – volume: 662 start-page: 332 year: 2019 end-page: 346 ident: CR26 article-title: Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan publication-title: Sci Total Environ doi: 10.1016/j.scitotenv.2019.01.221 – volume: 11 start-page: 247 issue: 2 year: 2014 end-page: 262 ident: CR68 article-title: A comparison of logistic regression-based models of susceptibility to landslides in western Colorado, USA publication-title: Landslides doi: 10.1007/s10346-012-0380-2 – volume: 10 start-page: 101 year: 2006 end-page: 112 ident: CR77 article-title: On the calculation of the topographic wetness index: evaluation of different methods based on field observations publication-title: Hydrol Earth Syst Sci doi: 10.5194/hess-10-101-2006 – volume: 79 start-page: 251 year: 2005 end-page: 266 ident: CR87 article-title: Landslide susceptibility mapping: a comparison of logistic regression and neural networks methods in a medium scale study Hendek region (Turkey) publication-title: Eng Geol doi: 10.1016/j.enggeo.2005.02.002 – volume: 12 start-page: 2825 year: 2011 end-page: 2830 ident: CR60 article-title: Scikit-learn: machine learning in Python publication-title: J Mach Learn Res – volume: 11 start-page: 999 year: 2019 ident: CR4 article-title: Assessment of landslide susceptibility using statistical- and artificial intelligence-based FR-RF integrated model and multiresolution DEMs publication-title: Remote Sens doi: 10.3390/rs11090999 – volume: 2010 start-page: 15 year: 2010 ident: CR53 article-title: Assessment of landslide susceptibility by decision trees in the metropolitan area of Istanbul, Turkey publication-title: Math Probl Eng doi: 10.1155/2010/901095 – volume: 118 start-page: 124 year: 2014 end-page: 135 ident: CR84 article-title: Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera province, Indonesia publication-title: Catena doi: 10.1016/j.catena.2014.02.005 – volume: 37 start-page: 407 year: 2003 end-page: 419 ident: CR49 article-title: The influence of topographic parameters on avalanche release dimension and frequency publication-title: Cold Reg Sci Technol doi: 10.1016/S0165-232X(03)00080-6 – ident: CR91 – volume: 86 start-page: 404 year: 1997 end-page: 414 ident: CR85 article-title: Prediction of the occurrence of slope instability phenomena through GIS-based hazard zonation publication-title: Geol Rundsch doi: 10.1007/s005310050149 – volume: 94 start-page: 401 issue: 3–4 year: 2008 end-page: 418 ident: CR52 article-title: Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey) publication-title: Geomorphology doi: 10.1016/j.geomorph.2006.10.036 – ident: CR2 – volume: 98 start-page: 26 year: 2016 end-page: 37 ident: CR75 article-title: An expert-based landslide susceptibility mapping (LSM) module developed for Netcad Architect Software publication-title: Comput Geosci doi: 10.1016/j.cageo.2016.10.001 – ident: CR30 – volume: 9 start-page: 112 issue: 2 year: 2016 ident: CR39 article-title: GIS-based landslide spatial modeling in Ganzhou City, China publication-title: Arab J Geosci doi: 10.1007/s12517-015-2094-y – volume: 61 start-page: 61 issue: 2 year: 2016 end-page: 80 ident: CR70 article-title: Topographic Wetness Index and Terrain Ruggedness Index in geomorphic characterisation of landslide terrains, on examples from the Sudetes, SW Poland publication-title: Zeitschrift für Geomorphol Suppl Issues doi: 10.1127/zfg_suppl/2016/0328 – ident: CR82 – volume: 4 start-page: 4 issue: 2 year: 1987 end-page: 22 ident: CR47 article-title: An introduction to computing with neural nets publication-title: IEEE ASSP Mag doi: 10.1109/MASSP.1987.1165576 – volume: 66 start-page: 20 year: 2014 end-page: 30 ident: CR56 article-title: GeoFIS: an integrated tool for the assessment of landslide susceptibility publication-title: Comput Geosci doi: 10.1016/j.cageo.2013.12.016 – volume: 63 start-page: 1157 year: 2012 end-page: 1179 ident: CR37 article-title: A new approach to use AHP in landslide susceptibility mapping: a case study at Yenice (Karabuk, NW Turkey) publication-title: Nat Hazards doi: 10.1007/s11069-012-0218-1 – start-page: 13 year: 2006 end-page: 27 ident: CR10 article-title: Spatial prediction of soil attributes using terrain analysis and climate regionalisation publication-title: SAGA–Analysis and modelling applications – volume: 162 start-page: 83 year: 2017 end-page: 112 ident: CR73 article-title: Minimizing finite sums with the stochastic average gradient publication-title: Math Program doi: 10.1007/s10107-016-1030-6 – volume: 6 start-page: 2873 year: 2013 end-page: 2888 ident: CR89 article-title: Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms publication-title: Arab J Geosci doi: 10.1007/s12517-012-0610-x – ident: CR27 – ident: CR23 – volume: 2 start-page: 159 issue: 2 year: 2018 end-page: 178 ident: CR78 article-title: Mapping landslide susceptibility and types using random forest publication-title: Big Earth Data doi: 10.1080/20964471.2018.1472392 – volume: 4 start-page: 41 year: 2019 end-page: 49 ident: CR8 article-title: Landslide susceptibility mapping in the Municipality of Oudka, Northern Morocco: a comparison between logistic regression and artificial neural networks models publication-title: Int Arch Photogramm Remote Sens Spat Inf Sci doi: 10.5194/isprs-archives-XLII-4-W12-41-2019 – volume: 79 start-page: 551 year: 2020 end-page: 568 ident: CR57 article-title: On the use of hierarchical fuzzy inference systems (HFIS) in expert-based landslide susceptibility mapping: the central part of the Rif Mountains (Morocco) publication-title: Bull Eng Geol Environ doi: 10.1007/s10064-019-01548-5 – volume: 75 start-page: 575 year: 2016 end-page: 590 ident: CR19 article-title: Modification of seed cell sampling strategy for landslide susceptibility mapping: an application from the Eastern part of the Gallipoli Peninsula (Canakkale, Turkey) publication-title: Bull Eng Geol Environ doi: 10.1007/s10064-015-0759-0 – ident: CR48 – volume: 8 start-page: 2540 year: 2018 ident: CR15 article-title: Landslide susceptibility modeling based on GIS and novel bagging-based kernel logistic regression publication-title: Appl Sci doi: 10.3390/app8122540 – volume: 72 start-page: 272 year: 2005 end-page: 299 ident: CR35 article-title: Probabilistic landslide hazard assessment at the basin scale publication-title: Geomorphology doi: 10.1016/j.geomorph.2005.06.002 – ident: CR90 – volume: 11 start-page: 1402 issue: 7 year: 2019 ident: CR54 article-title: Landslide susceptibility mapping using different GIS-based bivariate models publication-title: Water doi: 10.3390/w11071402 – volume: 2012 start-page: 26 year: 2012 ident: CR80 article-title: Landslide susceptibility assessment in Vietnam using support vector machines, decision tree, and Naive Bayes models publication-title: Math Probl Eng doi: 10.1155/2012/974638 – volume: 9 start-page: 942 year: 2019 ident: CR59 article-title: Landslide susceptibility mapping based on random forest and boosted regression tree models, and a comparison of their performance publication-title: Appl Sci doi: 10.3390/app9050942 – volume: 75 start-page: 553 year: 2016 ident: CR1 article-title: Landslide susceptibility mapping using an ensemble statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz Mountains (Iran) publication-title: Environ Earth Sci doi: 10.1007/s12665-015-5233-6 – volume: 5 start-page: 23 issue: 1–4 year: 1999 end-page: 27 ident: CR69 article-title: Index that quantifies topographic heterogeneity publication-title: Intermountain J Sci – volume: 190 start-page: 725 year: 2018 ident: CR5 article-title: Landslide susceptibility mapping in an area of underground mining using the multicriteria decision analysis method publication-title: Environ Monit Assess doi: 10.1007/s10661-018-7085-5 – volume: 25 start-page: 132 issue: 3–4 year: 2014 end-page: 145 ident: CR63 article-title: Two-phased evolution of the Suşehri Basin on the North Anatolian Fault Zone Turkey publication-title: Geodinamica Acta doi: 10.1080/09853111.2013.861997 – volume: 112 start-page: 42 issue: 1–2 year: 2012 end-page: 66 ident: CR36 article-title: Landslide inventory maps: new tools for an old problem publication-title: Earth Sci Rev doi: 10.1016/j.earscirev.2012.02.001 – ident: CR7 – volume: 13 start-page: 398 year: 1994 ident: CR11 article-title: Geographic information systems for geo-scientists publication-title: Model GIS Pergamon – volume: 133 start-page: 266 year: 2015 end-page: 281 ident: CR38 article-title: Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines publication-title: Catena doi: 10.1016/j.catena.2015.05.019 – volume: 46 start-page: 317 year: 2012 end-page: 329 ident: CR86 article-title: Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China publication-title: Comput Geosci doi: 10.1016/j.cageo.2012.01.002 – ident: CR28 – ident: CR62 – volume: 89 start-page: 112 issue: 1–2 year: 2007 end-page: 128 ident: CR83 article-title: Geotechnical assessment of the 2005 Kuzulu landslide (Turkey) publication-title: Eng Geol doi: 10.1016/j.enggeo.2006.09.020 – ident: CR24 – volume: 65 start-page: 135 year: 2013 end-page: 165 ident: CR22 article-title: Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya publication-title: Nat Hazards doi: 10.1007/s11069-012-0347-6 – volume: 81 start-page: 65 issue: 1 year: 2005 end-page: 83 ident: CR33 article-title: The 17 March 2005 Kuzulu landslide (Sivas, Turkey) and landslide-susceptibility map of its near vicinity publication-title: Eng Geol doi: 10.1016/j.enggeo.2005.07.011 – volume: 40 start-page: 481 issue: 5 year: 2019 ident: 9511_CR44 publication-title: Phys Geogr doi: 10.1080/02723646.2018.1559583 – volume: 35 start-page: 341 issue: 4 year: 2020 ident: 9511_CR72 publication-title: Geocarto Int doi: 10.1080/10106049.2018.1516248 – volume: 190 start-page: 725 year: 2018 ident: 9511_CR5 publication-title: Environ Monit Assess doi: 10.1007/s10661-018-7085-5 – volume: 112 start-page: 42 issue: 1–2 year: 2012 ident: 9511_CR36 publication-title: Earth Sci Rev doi: 10.1016/j.earscirev.2012.02.001 – ident: 9511_CR23 doi: 10.1016/j.gr.2020.08.007 – volume: 2012 start-page: 26 year: 2012 ident: 9511_CR80 publication-title: Math Probl Eng doi: 10.1155/2012/974638 – volume: 79 start-page: 551 year: 2020 ident: 9511_CR57 publication-title: Bull Eng Geol Environ doi: 10.1007/s10064-019-01548-5 – volume: 66 start-page: 327 issue: 1–4 year: 2005 ident: 9511_CR29 publication-title: Geomorphology doi: 10.1016/j.geomorph.2004.09.025 – volume: 47 start-page: 982 year: 2005 ident: 9511_CR45 publication-title: Environ Geol doi: 10.1007/s00254-005-1228-z – volume: 46 start-page: 317 year: 2012 ident: 9511_CR86 publication-title: Comput Geosci doi: 10.1016/j.cageo.2012.01.002 – volume: 78 start-page: 1749 year: 2015 ident: 9511_CR25 publication-title: Nat Hazards doi: 10.1007/s11069-015-1799-2 – volume: 98 start-page: 26 year: 2016 ident: 9511_CR75 publication-title: Comput Geosci doi: 10.1016/j.cageo.2016.10.001 – volume: 11 start-page: 999 year: 2019 ident: 9511_CR4 publication-title: Remote Sens doi: 10.3390/rs11090999 – volume: 5 start-page: 3 year: 1991 ident: 9511_CR50 publication-title: Hydrol Process doi: 10.1002/hyp.3360050103 – volume: 133 start-page: 266 year: 2015 ident: 9511_CR38 publication-title: Catena doi: 10.1016/j.catena.2015.05.019 – ident: 9511_CR90 doi: 10.1109/GEOINFORMATICS.2014.6950846 – ident: 9511_CR7 – volume: 13 start-page: 398 year: 1994 ident: 9511_CR11 publication-title: Model GIS Pergamon – volume: 5 start-page: 23 issue: 1–4 year: 1999 ident: 9511_CR69 publication-title: Intermountain J Sci – ident: 9511_CR28 doi: 10.18182/tjf.31067 – volume: 11 start-page: 247 issue: 2 year: 2014 ident: 9511_CR68 publication-title: Landslides doi: 10.1007/s10346-012-0380-2 – ident: 9511_CR48 doi: 10.1016/j.proenv.2011.09.321 – start-page: 318 volume-title: Parallel distributed processing year: 1986 ident: 9511_CR71 doi: 10.7551/mitpress/5236.001.0001 – ident: 9511_CR32 – ident: 9511_CR24 doi: 10.1109/ICECENG.2011.6057428 – volume: 34 start-page: 1177 issue: 11 year: 2019 ident: 9511_CR16 publication-title: Geocarto Int doi: 10.1080/10106049.2019.1588393 – volume: 94 start-page: 401 issue: 3–4 year: 2008 ident: 9511_CR52 publication-title: Geomorphology doi: 10.1016/j.geomorph.2006.10.036 – volume: 42 start-page: 189 year: 2012 ident: 9511_CR76 publication-title: Comput Geosci doi: 10.1016/j.cageo.2011.09.011 – volume: 6 start-page: 2873 year: 2013 ident: 9511_CR89 publication-title: Arab J Geosci doi: 10.1007/s12517-012-0610-x – volume: 71 start-page: 523 year: 2014 ident: 9511_CR55 publication-title: Nat Hazards doi: 10.1007/s11069-013-0932-3 – volume: 662 start-page: 332 year: 2019 ident: 9511_CR26 publication-title: Sci Total Environ doi: 10.1016/j.scitotenv.2019.01.221 – volume: 4 start-page: 327 issue: 4 year: 2007 ident: 9511_CR46 publication-title: Landslides doi: 10.1007/s10346-007-0088-x – volume: 9 start-page: 112 issue: 2 year: 2016 ident: 9511_CR39 publication-title: Arab J Geosci doi: 10.1007/s12517-015-2094-y – volume: 97 start-page: 71 year: 2012 ident: 9511_CR65 publication-title: Catena doi: 10.1016/j.catena.2012.05.005 – volume: 4 start-page: 41 year: 2019 ident: 9511_CR8 publication-title: Int Arch Photogramm Remote Sens Spat Inf Sci doi: 10.5194/isprs-archives-XLII-4-W12-41-2019 – start-page: 1191 volume-title: Engineering geology for society and territory year: 2015 ident: 9511_CR58 doi: 10.1007/978-3-319-09057-3_208 – start-page: 23 volume-title: Terrigenous mass movements year: 2012 ident: 9511_CR66 doi: 10.1007/978-3-642-25495-6_2 – volume: 10 start-page: 101 year: 2006 ident: 9511_CR77 publication-title: Hydrol Earth Syst Sci doi: 10.5194/hess-10-101-2006 – volume: 12 start-page: 2825 year: 2011 ident: 9511_CR60 publication-title: J Mach Learn Res – volume: 8 start-page: 2540 year: 2018 ident: 9511_CR15 publication-title: Appl Sci doi: 10.3390/app8122540 – volume: 33 start-page: 1000 issue: 9 year: 2018 ident: 9511_CR43 publication-title: Geocarto Int doi: 10.1080/10106049.2017.1323964 – volume: 118 start-page: 124 year: 2014 ident: 9511_CR84 publication-title: Catena doi: 10.1016/j.catena.2014.02.005 – volume: 8 start-page: 881 year: 2015 ident: 9511_CR40 publication-title: Geosci Model Dev doi: 10.5194/gmd-8-881-2015 – volume: 2010 start-page: 15 year: 2010 ident: 9511_CR53 publication-title: Math Probl Eng doi: 10.1155/2010/901095 – volume: 51 start-page: 350 year: 2013 ident: 9511_CR67 publication-title: Comput Geosci doi: 10.1016/j.cageo.2012.08.023 – volume: 941 start-page: 5 year: 2005 ident: 9511_CR79 publication-title: Cumhuriyet Bilim Teknik Dergisi – volume: 9 start-page: 942 year: 2019 ident: 9511_CR59 publication-title: Appl Sci doi: 10.3390/app9050942 – volume: 4 start-page: 4 issue: 2 year: 1987 ident: 9511_CR47 publication-title: IEEE ASSP Mag doi: 10.1109/MASSP.1987.1165576 – ident: 9511_CR62 – volume: 86 start-page: 404 year: 1997 ident: 9511_CR85 publication-title: Geol Rundsch doi: 10.1007/s005310050149 – volume: 8 start-page: 1991 year: 2015 ident: 9511_CR17 publication-title: Geosci Model Dev doi: 10.5194/gmd-8-1991-2015 – volume: 17 start-page: 2611 year: 2020 ident: 9511_CR64 publication-title: J Mt Sci doi: 10.1007/s11629-020-6261-6 – volume: 37 start-page: 407 year: 2003 ident: 9511_CR49 publication-title: Cold Reg Sci Technol doi: 10.1016/S0165-232X(03)00080-6 – start-page: 13 volume-title: SAGA–Analysis and modelling applications year: 2006 ident: 9511_CR10 – ident: 9511_CR30 – ident: 9511_CR27 – ident: 9511_CR82 – volume: 11 start-page: 1402 issue: 7 year: 2019 ident: 9511_CR54 publication-title: Water doi: 10.3390/w11071402 – volume: 83 start-page: 97 year: 2016 ident: 9511_CR61 publication-title: Nat Hazards doi: 10.1007/s11069-016-2304-2 – volume: 19 start-page: 3940 issue: 18 year: 2019 ident: 9511_CR74 publication-title: Sensors doi: 10.3390/s19183940 – volume: 38 start-page: 23 issue: 1 year: 2012 ident: 9511_CR3 publication-title: Comput Geosci doi: 10.1016/j.cageo.2011.04.012 – volume: 10 start-page: 433 year: 2013 ident: 9511_CR20 publication-title: Landslides doi: 10.1007/s10346-012-0342-8 – volume: 162 start-page: 83 year: 2017 ident: 9511_CR73 publication-title: Math Program doi: 10.1007/s10107-016-1030-6 – volume: 66 start-page: 20 year: 2014 ident: 9511_CR56 publication-title: Comput Geosci doi: 10.1016/j.cageo.2013.12.016 – volume: 32 start-page: 935 issue: 9 year: 2016 ident: 9511_CR18 publication-title: Geocarto Int doi: 10.1080/10106049.2016.1195886 – ident: 9511_CR88 – volume: 81 start-page: 65 issue: 1 year: 2005 ident: 9511_CR33 publication-title: Eng Geol doi: 10.1016/j.enggeo.2005.07.011 – volume: 9 start-page: 1871 issue: 2008 year: 2008 ident: 9511_CR31 publication-title: J Mach Learn Res – volume: 65 start-page: 135 year: 2013 ident: 9511_CR22 publication-title: Nat Hazards doi: 10.1007/s11069-012-0347-6 – volume: 16 start-page: 331 year: 1983 ident: 9511_CR42 publication-title: Q J Eng Geol Hydrogeol doi: 10.1144/GSL.QJEG.1983.016.04.10 – volume: 75 start-page: 575 year: 2016 ident: 9511_CR19 publication-title: Bull Eng Geol Environ doi: 10.1007/s10064-015-0759-0 – volume: 25 start-page: 132 issue: 3–4 year: 2014 ident: 9511_CR63 publication-title: Geodinamica Acta doi: 10.1080/09853111.2013.861997 – ident: 9511_CR91 doi: 10.1109/GEOINFORMATICS.2010.5567701 – ident: 9511_CR21 – ident: 9511_CR2 – volume: 75 start-page: 553 year: 2016 ident: 9511_CR1 publication-title: Environ Earth Sci doi: 10.1007/s12665-015-5233-6 – volume: 45 start-page: 5 year: 2001 ident: 9511_CR13 publication-title: Mach Learn doi: 10.1023/A:1010933404324 – volume: 151 start-page: 147 year: 2017 ident: 9511_CR14 publication-title: Catena doi: 10.1016/j.catena.2016.11.032 – start-page: 171 volume-title: Geomorphometry: concepts, software, applications year: 2009 ident: 9511_CR34 doi: 10.1016/S0166-2481(08)00007-X – volume: 63 start-page: 1157 year: 2012 ident: 9511_CR37 publication-title: Nat Hazards doi: 10.1007/s11069-012-0218-1 – volume: 50 start-page: 571 issue: 3 year: 2009 ident: 9511_CR41 publication-title: Nat Hazards doi: 10.1007/s11069-008-9305-8 – volume: 2 start-page: 159 issue: 2 year: 2018 ident: 9511_CR78 publication-title: Big Earth Data doi: 10.1080/20964471.2018.1472392 – volume: 13 start-page: 361 year: 2015 ident: 9511_CR81 publication-title: Landslides doi: 10.1007/s10346-015-0557-6 – volume: 118 start-page: 377 issue: 22 year: 2018 ident: 9511_CR51 publication-title: Int J Pure Appl Math – volume-title: A guide to Microsoft excel 2002 for scientists and engineers year: 2002 ident: 9511_CR9 – volume: 89 start-page: 112 issue: 1–2 year: 2007 ident: 9511_CR83 publication-title: Eng Geol doi: 10.1016/j.enggeo.2006.09.020 – volume: 123 start-page: 104565 year: 2019 ident: 9511_CR12 publication-title: Environ Model Softw doi: 10.1016/j.envsoft.2019.104565 – volume: 72 start-page: 272 year: 2005 ident: 9511_CR35 publication-title: Geomorphology doi: 10.1016/j.geomorph.2005.06.002 – volume: 61 start-page: 61 issue: 2 year: 2016 ident: 9511_CR70 publication-title: Zeitschrift für Geomorphol Suppl Issues doi: 10.1127/zfg_suppl/2016/0328 – volume: 79 start-page: 251 year: 2005 ident: 9511_CR87 publication-title: Eng Geol doi: 10.1016/j.enggeo.2005.02.002 – volume: 26 start-page: 1251 year: 2001 ident: 9511_CR6 publication-title: Earth Surf Process Landf doi: 10.1002/esp.263
SSID	ssj0000313906
Score	2.3988588
Snippet	In this study, landslide susceptibility maps (LSM) of the Akıncılar region were produced with the methods of frequency ratio (FR), information value (IV),...
SourceID	proquest crossref springer
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	217
SubjectTerms	Biogeosciences Earth and Environmental Science Earth Sciences Earthquakes Environmental Science and Engineering Geochemistry Geographic information systems Geographical information systems Geology Hydrology/Water Resources Landslides Landslides & mudslides Methods Model accuracy Multilayers Original Article prediction regression analysis Support vector machines Susceptibility Terrestrial Pollution
SummonAdditionalLinks	– databaseName: SpringerLINK Contemporary 1997-Present dbid: RSV link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3fS8MwED78Cb74W5xOieCbBtqm7dLHITqFIeJU9iCUNEllMFuxnbj_3kvWbigq6HPTtFyS3ne9-74DOGae4ysWaBoIjHR84bqUe1JTaVJCUjNHa6sz221dX_N-P7qpSGFFXe1epyTtl3pGdkNfYtjEGP4iLHDpeB4W0d1x07Dhtvcw_bNi1Agj21TTiLnR0ONOxZb5fprPHmkGM79kRq3DuVj736uuw2oFMEl7siM2YE5nm7DcsQ18x1vw2M7IoOqE-qZPSSqKkkzaSBPEr8RSf4cDpUkxKmzJi62eHZNnYZQcnogplH8inaseNQ5QkW6vfUfKPB8m-fs23F-c351d0qrDAhWsFZRUYwDMROSmnEeqlSbM4SkLFaKEUKbMk4FCOOPJkCuZhgnXvivTKHG4H5hQRIZsBxayPNO7QASGJh7Gb8pXgZ8wN_E1grFAuKlls6oGuLWVY1nJj5suGMN4JpxsrBaj1WJrtXjcgJPpPS8T8Y1fRzfrxYurg1jEGF3aHzVRqwFH08t4hExeRGQ6H-GYwLB3EUeyBpzWCzqb4ucn7v1t-D6seHZPmAq2JiyUryN9AEvyrRwUr4d2E38AhzvqIw priority: 102 providerName: Springer Nature
Title	An innovative, fast method for landslide susceptibility mapping using GIS-based LSAT toolbox
URI	https://link.springer.com/article/10.1007/s12665-021-09511-y https://www.proquest.com/docview/2497619497 https://www.proquest.com/docview/2551976103
Volume	80
WOSCitedRecordID	wos000625941800001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAVX databaseName: SpringerLINK Contemporary 1997-Present customDbUrl: eissn: 1866-6299 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000313906 issn: 1866-6280 databaseCode: RSV dateStart: 20091101 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1ba9swFD507QZ72boby9oVDfa2ilmW7chPIx29QRdC040-DIwsySWQ2V3tlOXf7xxFSVihfdmLXyxbxkeX79O5fAAfZRwlVqaOpxqZTqKF4Co2jhtyCRknI-d8ndmz_nCoLi_zUThwa0NY5XJN9Au1bQydkX9GmuAZd97_cv2bk2oUeVeDhMYj2EJkIyik61s8Wp2xUF3C3MtrUlk3nsUqCnkzi-w53JwoPRn5NOIMwef_7k1rwHnHR-q3nqPn__vR2_AsgE42WIySF7Dh6pfw5NiL-s5fwc9BzSZBHfXW7bNKtx1bSEszxLTMpwNPJ9axdtb6MBgfUTtnvzRVd7hiFDx_xY5Px5w2RcvOxoML1jXNtGz-vIbvR4cXX094UF3gWvbTjjskxVLnolIqt_2qlJGqZGYROWSmkrFJLUKc2GTKmiorlUuEqfIyUklK9MRk8g1s1k3t3gLTSFdi5HQ2sWlSSlEmDgFaqkXlM1xtD8TyfxcmlCQnZYxpsS6mTDYq0EaFt1Ex78Gn1TPXi4IcD7beXRqmCJOzLdZW6cGH1W2cVuQr0bVrZtgmpYxexJayB_tL869fcX-P7x7ucQeexn7EURTbLmx2NzP3Hh6b227S3uzB1sHhcHS-54cxXs_HP_4C5Eb2PQ
linkProvider	ProQuest
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB6VAoILb9SFAkaCE7VI7CTrHBBaAW1XXVaVukg9IIXEdqqVlqRtsoX8KX4jM06yK5DorQfOcWwl_jwPz8w3AK-k8AIjQ8vDFD2dIPV9roS2XFNISFvpWet4ZifD6VQdH8eHG_Crr4WhtMpeJjpBbUpNd-Rv0U1wHnc8fH96xqlrFEVX-xYaLSwObPMDXbbq3fgj7u9rIXY_zT7s866rAE_lMKy5RadPprGfKxWbYZ5JT-UyMqgZI51LoUODKlzoSBmdR5myga_zOPNUEJL5rSOJ816D6wExi1GqoDhc3ekQD2Ls2nkSjRyPhPK6Op22Wg-VIZVDo_-Odo3Pmz914drA_Ssm61Td7t3_7SfdgzudUc1G7Sm4Dxu2eAA391zT4uYhfB0VbN51f72wOyxPq5q1rbMZ2uzMlTsv5sayalm5NB-XMdyw7ymxV5wwKg44YXvjI05K37DJ0WjG6rJcZOXPR_DlSj7tMWwWZWG3gKXojgn0WU1gwiCTfhZYNEDD1M9dBa8ZgN_vb6I7ynXq_LFI1mTRhIkEMZE4TCTNAN6s3jltCUcuHb3dAyHphE-VrFEwgJerxyg2KBaUFrZc4piQKpbRdpYD2Onhtp7i3ys-uXzFF3Brf_Z5kkzG04OncFs4tFPG3jZs1udL-wxu6It6Xp0_d0eHwberhuFvRzZPoA
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bb9MwFD4aHSBexl0UBhgJnpi1JM7FeZhQxeioVqpKK9KQJgXHdqZKJRlLOshf26_bsZO0Aom97YHnOLYSfz4Xn_OdA_CWeY6vWKBpINDT8YXrUu5JTaUJCUnNHK1tndlxNJnw4-N4ugGXHRfGpFV2MtEKalVIc0e-i26C9bjjaDdr0yKm-8MPZz-p6SBlIq1dO40GIoe6_oXuW7k32se9fud5w0-zj59p22GAChYFFdXoADIRuxnnsYqylDk8Y6FCLRnKjHkyUKjOPRlyJbMw5dp3ZRanDvcDY4rLkOG8t2CTh5HDe7A5Hcy-fFvd8JiqiLFt7mmKytHQ407L2mm4e6gaDTkavXm0clxa_6kZ1-buXxFaq_iG9__nX_YAtlpzmwya8_EQNnT-CO4c2HbG9WM4GeRk3vaFvdA7JBNlRZqm2gSteWKJ0Iu50qRcljYByOYS1-SHMHUtTomhDZySg9ERNeaAIuOjwYxURbFIi99P4OuNfNpT6OVFrp8BEeioeejNKl8Ffsrc1NdomgbCzSy3V_XB7fY6kW0xdtMTZJGsy0gbfCSIj8TiI6n78H71zllTiuTa0dsdKJJWLJXJGhF9eLN6jALFRIlErosljgkMlxmtataHnQ566yn-veLz61d8DXcRfcl4NDl8Afc8C3yTyrcNvep8qV_CbXlRzcvzV-05IvD9pnF4BcAcWeY
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=An+innovative%2C+fast+method+for+landslide+susceptibility+mapping+using+GIS-based+LSAT+toolbox&rft.jtitle=Environmental+earth+sciences&rft.au=Polat%2C+Ali&rft.date=2021-03-01&rft.pub=Springer+Nature+B.V&rft.issn=1866-6280&rft.eissn=1866-6299&rft.volume=80&rft.issue=6&rft_id=info:doi/10.1007%2Fs12665-021-09511-y&rft.externalDBID=HAS_PDF_LINK
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1866-6280&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1866-6280&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1866-6280&client=summon