{"id":"https://openalex.org/W3133033260","doi":"https://doi.org/10.3390/ijgi10020093","title":"A Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine Learning Cluster: A Case of Xiaojin County, China","display_name":"A Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine Learning Cluster: A Case of Xiaojin County, China","publication_year":2021,"publication_date":"2021-02-20","ids":{"openalex":"https://openalex.org/W3133033260","doi":"https://doi.org/10.3390/ijgi10020093","mag":"3133033260"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi10020093","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10020093","pdf_url":"https://www.mdpi.com/2220-9964/10/2/93/pdf?version=1614225793","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/10/2/93/pdf?version=1614225793","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075355389","display_name":"Wei Xie","orcid":"https://orcid.org/0000-0001-5689-2157"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]},{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xie","raw_affiliation_strings":["School of Earth Sciences and Technology, Southwest Petroleum University, Chengdu 610500, China","School of Resources and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China"],"raw_orcid":"https://orcid.org/0000-0001-5689-2157","affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Technology, Southwest Petroleum University, Chengdu 610500, China","institution_ids":["https://openalex.org/I165745306"]},{"raw_affiliation_string":"School of Resources and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777890","display_name":"Xiaoshuang Li","orcid":"https://orcid.org/0000-0001-7469-8390"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]},{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoshuang Li","raw_affiliation_strings":["College of Civil Engineering and Architecture, Guangxi University of Science and Technology, Liuzhou 545006, China","School of Resources and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Civil Engineering and Architecture, Guangxi University of Science and Technology, Liuzhou 545006, China","institution_ids":["https://openalex.org/I18570673"]},{"raw_affiliation_string":"School of Resources and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044340283","display_name":"Wenbin Jian","orcid":"https://orcid.org/0000-0002-3513-9032"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Jian","raw_affiliation_strings":["Department of Geotechnical and Geological Engineering, Fuzhou University, Fuzhou 350108, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geotechnical and Geological Engineering, Fuzhou University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397643","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-6251-0837"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["School of Earth Sciences and Technology, Southwest Petroleum University, Chengdu 610500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Technology, Southwest Petroleum University, Chengdu 610500, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411940","display_name":"Hongwei Liu","orcid":"https://orcid.org/0000-0001-7500-9649"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Liu","raw_affiliation_strings":["Department of Geotechnical and Geological Engineering, Fuzhou University, Fuzhou 350108, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geotechnical and Geological Engineering, Fuzhou University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015415192","display_name":"Luis F. Robledo","orcid":"https://orcid.org/0000-0003-0700-5835"},"institutions":[{"id":"https://openalex.org/I13897259","display_name":"Universidad Andr\u00e9s Bello","ror":"https://ror.org/01qq57711","country_code":"CL","type":"education","lineage":["https://openalex.org/I13897259"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Luis F. Robledo","raw_affiliation_strings":["Engineering Science Department, Universidad Andres Bello, Santiago 7500971, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Science Department, Universidad Andres Bello, Santiago 7500971, Chile","institution_ids":["https://openalex.org/I13897259"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071442180","display_name":"Wen Nie","orcid":"https://orcid.org/0000-0003-2623-0122"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]},{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen Nie","raw_affiliation_strings":["Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, 362000, China","School of Resources and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, 362000, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Resources and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China","institution_ids":["https://openalex.org/I4510145"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5071442180"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210151023","https://openalex.org/I4510145"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":31.9752,"has_fulltext":true,"cited_by_count":105,"citation_normalized_percentile":{"value":0.99784017,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"10","issue":"2","first_page":"93","last_page":"93"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10555","display_name":"Fire effects on ecosystems","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12729","display_name":"Tree Root and Stability Studies","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7680164575576782},{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.7373138666152954},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6638662815093994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6446763277053833},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6401142477989197},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5953059792518616},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5585863590240479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5479046702384949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5463687181472778},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5140262842178345},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.43592238426208496},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13868650794029236},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.07227632403373718}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7680164575576782},{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.7373138666152954},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6638662815093994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6446763277053833},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6401142477989197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5953059792518616},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5585863590240479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5479046702384949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5463687181472778},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5140262842178345},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.43592238426208496},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13868650794029236},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.07227632403373718},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi10020093","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10020093","pdf_url":"https://www.mdpi.com/2220-9964/10/2/93/pdf?version=1614225793","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:19b87b18778547bdafce717be354a18c","is_oa":true,"landing_page_url":"https://doaj.org/article/19b87b18778547bdafce717be354a18c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 10, Iss 2, p 93 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/10/2/93/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi10020093","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information; Volume 10; Issue 2; Pages: 93","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi10020093","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10020093","pdf_url":"https://www.mdpi.com/2220-9964/10/2/93/pdf?version=1614225793","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3319254752","display_name":"\u5f3a\u964d\u96e8\u5165\u6e17\u2014\u91c7\u52a8\u5378\u8377\u8026\u5408\u4e0b\u9ad8\u9661\u5ca9\u8d28\u8fb9\u5761\u88c2\u9699\u5ca9\u4f53\u7834\u88c2\u5931\u7a33\u6f14\u5316\u673a\u5236\u53ca\u65f6\u95f4\u6548\u5e94\u7814\u7a76","funder_award_id":"41867033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3405691726","display_name":null,"funder_award_id":"51874268","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4204419870","display_name":null,"funder_award_id":"41861134011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8560166328","display_name":null,"funder_award_id":"41702327","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3133033260.pdf","grobid_xml":"https://content.openalex.org/works/W3133033260.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W1967670396","https://openalex.org/W1975872024","https://openalex.org/W1980725494","https://openalex.org/W1992036793","https://openalex.org/W2021436841","https://openalex.org/W2021765639","https://openalex.org/W2021851084","https://openalex.org/W2029608886","https://openalex.org/W2057039778","https://openalex.org/W2075513266","https://openalex.org/W2080134555","https://openalex.org/W2080996603","https://openalex.org/W2089314377","https://openalex.org/W2121553337","https://openalex.org/W2122447387","https://openalex.org/W2163283323","https://openalex.org/W2229346331","https://openalex.org/W2272894421","https://openalex.org/W2318494363","https://openalex.org/W2343188872","https://openalex.org/W2358254863","https://openalex.org/W2417137833","https://openalex.org/W2489814317","https://openalex.org/W2509507403","https://openalex.org/W2561683595","https://openalex.org/W2564393432","https://openalex.org/W2567326027","https://openalex.org/W2609194414","https://openalex.org/W2771104803","https://openalex.org/W2775745878","https://openalex.org/W2789369267","https://openalex.org/W2790230321","https://openalex.org/W2790424270","https://openalex.org/W2793831793","https://openalex.org/W2799418224","https://openalex.org/W2800585561","https://openalex.org/W2802780461","https://openalex.org/W2805531306","https://openalex.org/W2884920879","https://openalex.org/W2891027816","https://openalex.org/W2892199264","https://openalex.org/W2893375660","https://openalex.org/W2900545935","https://openalex.org/W2905019064","https://openalex.org/W2908782165","https://openalex.org/W2921093430","https://openalex.org/W2922551714","https://openalex.org/W2937533790","https://openalex.org/W2938326879","https://openalex.org/W2943844914","https://openalex.org/W2944159562","https://openalex.org/W2947000302","https://openalex.org/W2970709330","https://openalex.org/W2972470080","https://openalex.org/W2972534151","https://openalex.org/W2981581709","https://openalex.org/W2984020251","https://openalex.org/W2986922336","https://openalex.org/W2988636483","https://openalex.org/W2992334028","https://openalex.org/W3006913750","https://openalex.org/W3110345594","https://openalex.org/W4210949798","https://openalex.org/W6649883355","https://openalex.org/W6693698958"],"related_works":["https://openalex.org/W2389676928","https://openalex.org/W3169474304","https://openalex.org/W2369104181","https://openalex.org/W3201652628","https://openalex.org/W4212972401","https://openalex.org/W2389287188","https://openalex.org/W3081499580","https://openalex.org/W2615020820","https://openalex.org/W3106883776","https://openalex.org/W2950100253"],"abstract_inverted_index":{"Landslide":[0],"susceptibility":[1,193,200],"mapping":[2],"(LSM)":[3],"could":[4],"be":[5],"an":[6,35,177],"effective":[7,212],"way":[8],"to":[9,23,52,59,146,189],"prevent":[10],"landslide":[11,192,199,205,215,219],"hazards":[12],"and":[13,28,46,74,114,119,136,175,217],"mitigate":[14],"losses.":[15],"The":[16,97,128,150,198],"choice":[17],"of":[18,26,31,77,87,173,179,194],"conditional":[19],"factors":[20,67],"is":[21,211],"crucial":[22],"the":[24,29,71,78,85,122,137,154,158,162,167,170,186,191,195,208],"results":[25,151],"LSM,":[27],"selection":[30],"models":[32,103],"also":[33],"plays":[34],"important":[36],"role.":[37],"In":[38],"this":[39,88],"study,":[40],"a":[41,54],"hybrid":[42,209],"method":[43,210],"including":[44],"GeoDetector":[45],"machine":[47,98,163],"learning":[48,99,164],"cluster":[49,100,165],"was":[50,81,90,183],"developed":[51],"provide":[53],"new":[55],"perspective":[56],"on":[57],"how":[58],"address":[60],"these":[61,148],"two":[62],"issues.":[63],"We":[64],"defined":[65],"redundant":[66],"by":[68,83],"quantitatively":[69],"analyzing":[70],"single":[72],"impact":[73,76],"interactive":[75],"factors,":[79],"which":[80],"analyzed":[82],"GeoDetector,":[84],"effect":[86],"step":[89],"examined":[91],"using":[92],"mean":[93],"absolute":[94],"error":[95],"(MAE).":[96],"contains":[101],"four":[102],"(artificial":[104],"neural":[105],"network":[106,109],"(ANN),":[107],"Bayesian":[108],"(BN),":[110],"logistic":[111],"regression":[112],"(LR),":[113],"support":[115],"vector":[116],"machines":[117],"(SVM))":[118],"automatically":[120],"selects":[121],"best":[123,159],"one":[124],"for":[125],"generating":[126],"LSM.":[127],"receiver":[129],"operating":[130],"characteristic":[131],"(ROC)":[132],"curve,":[133],"prediction":[134],"accuracy,":[135],"seed":[138],"cell":[139],"area":[140,168],"index":[141],"(SCAI)":[142],"methods":[143],"were":[144],"used":[145],"evaluate":[147],"methods.":[149],"show":[152],"that":[153],"SVM":[155,182],"model":[156,188],"had":[157],"performance":[160],"in":[161,213],"with":[166,176,204],"under":[169],"ROC":[171],"curve":[172],"0.928":[174],"accuracy":[178],"83.86%.":[180],"Therefore,":[181],"chosen":[184],"as":[185],"assessment":[187],"map":[190,201],"study":[196],"area.":[197],"demonstrated":[202],"fit":[203],"inventory,":[206],"indicated":[207],"screening":[214],"influences":[216],"assessing":[218],"susceptibility.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":50},{"year":2021,"cited_by_count":5}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2021-03-01T00:00:00"}
