{"id":"https://openalex.org/W3149216117","doi":"https://doi.org/10.1080/13658816.2021.1884686","title":"Development of a multiscale discretization method for the geographical detector model","display_name":"Development of a multiscale discretization method for the geographical detector model","publication_year":2021,"publication_date":"2021-03-29","ids":{"openalex":"https://openalex.org/W3149216117","doi":"https://doi.org/10.1080/13658816.2021.1884686","mag":"3149216117"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2021.1884686","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2021.1884686","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101983142","display_name":"Xiaoyu Meng","orcid":"https://orcid.org/0000-0001-9372-0899"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210103115","display_name":"Xinjiang Institute of Ecology and Geography","ror":"https://ror.org/01a8ev928","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103115"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Meng","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Xinjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Xinjiang, China","institution_ids":["https://openalex.org/I4210103115","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101713456","display_name":"Xin Gao","orcid":"https://orcid.org/0000-0002-0543-3070"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210103115","display_name":"Xinjiang Institute of Ecology and Geography","ror":"https://ror.org/01a8ev928","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103115"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Gao","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Xinjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Xinjiang, China","institution_ids":["https://openalex.org/I4210103115","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113439619","display_name":"Jiaqiang Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210103115","display_name":"Xinjiang Institute of Ecology and Geography","ror":"https://ror.org/01a8ev928","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103115"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqiang Lei","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Xinjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Xinjiang, China","institution_ids":["https://openalex.org/I4210103115","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100681845","display_name":"Shengyu Li","orcid":"https://orcid.org/0000-0002-8465-3871"},"institutions":[{"id":"https://openalex.org/I4210103115","display_name":"Xinjiang Institute of Ecology and Geography","ror":"https://ror.org/01a8ev928","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103115"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyu Li","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Xinjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Xinjiang, China","institution_ids":["https://openalex.org/I4210103115","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101713456"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210103115","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":2.0799,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.86220684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"35","issue":"8","first_page":"1650","last_page":"1675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9994000196456909,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T10005","display_name":"Ecology and Vegetation Dynamics Studies","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.9467306137084961},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.7978484630584717},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.7837881445884705},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.580369234085083},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5741679072380066},{"id":"https://openalex.org/keywords/discretization-of-continuous-features","display_name":"Discretization of continuous features","score":0.5080287456512451},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4857671558856964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4338521659374237},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41914451122283936},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41038379073143005},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3863462209701538},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3469962775707245},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3436731696128845},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3279627561569214},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3225950002670288},{"id":"https://openalex.org/keywords/discretization-error","display_name":"Discretization error","score":0.20979616045951843},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09030014276504517}],"concepts":[{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.9467306137084961},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.7978484630584717},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.7837881445884705},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.580369234085083},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5741679072380066},{"id":"https://openalex.org/C105427703","wikidata":"https://www.wikidata.org/wiki/Q665193","display_name":"Discretization of continuous features","level":4,"score":0.5080287456512451},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4857671558856964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4338521659374237},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41914451122283936},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41038379073143005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3863462209701538},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3469962775707245},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3436731696128845},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3279627561569214},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3225950002670288},{"id":"https://openalex.org/C126148662","wikidata":"https://www.wikidata.org/wiki/Q3890355","display_name":"Discretization error","level":3,"score":0.20979616045951843},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09030014276504517},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2021.1884686","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2021.1884686","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G520237451","display_name":null,"funder_award_id":"41861144020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G899830322","display_name":null,"funder_award_id":"XDA20030102","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1964533388","https://openalex.org/W1990975428","https://openalex.org/W1995622703","https://openalex.org/W2033362265","https://openalex.org/W2036133701","https://openalex.org/W2048366072","https://openalex.org/W2070328828","https://openalex.org/W2072605051","https://openalex.org/W2091878638","https://openalex.org/W2111049992","https://openalex.org/W2113410727","https://openalex.org/W2121553337","https://openalex.org/W2149426509","https://openalex.org/W2163283323","https://openalex.org/W2216320743","https://openalex.org/W2343188872","https://openalex.org/W2469209284","https://openalex.org/W2471136937","https://openalex.org/W2508421699","https://openalex.org/W2560326614","https://openalex.org/W2755379378","https://openalex.org/W2784327149","https://openalex.org/W2791559636","https://openalex.org/W2804321927","https://openalex.org/W2899514987","https://openalex.org/W2904652652","https://openalex.org/W2953498615","https://openalex.org/W2958574642","https://openalex.org/W2979350949","https://openalex.org/W2991307296","https://openalex.org/W2994619624","https://openalex.org/W2997610139","https://openalex.org/W2998876923","https://openalex.org/W3004227146","https://openalex.org/W3024110832","https://openalex.org/W3035889266","https://openalex.org/W3038961962","https://openalex.org/W3105982350","https://openalex.org/W4213176465","https://openalex.org/W4214856203","https://openalex.org/W4234195429","https://openalex.org/W4249764991"],"related_works":["https://openalex.org/W2378829248","https://openalex.org/W1492103595","https://openalex.org/W2005929752","https://openalex.org/W2370926798","https://openalex.org/W2340621450","https://openalex.org/W2357904669","https://openalex.org/W2799209613","https://openalex.org/W2049578243","https://openalex.org/W2514374512","https://openalex.org/W1847721586"],"abstract_inverted_index":{"The":[0,30,54,75,141],"geographical":[1,13],"detector":[2],"model":[3],"(GDM)":[4],"is":[5,81,147],"based":[6],"on":[7,123],"the":[8,19,22,34,70,78,93,98,103,109,114,117,124,130,145,167,172,185,188],"spatial":[9,99],"variance":[10,94],"analysis":[11],"of":[12,15,33,56,77,87,95,133,174,187],"strata":[14],"variables":[16,24,28,32],"to":[17,51,60,82,112],"assess":[18,113],"association":[20,175],"between":[21,116,176],"independent":[23,31],"(X)":[25],"and":[26,119,151,178,182],"dependent":[27],"(Y).":[29],"GDM":[35],"must":[36],"be":[37],"discretized":[38],"into":[39,158],"classes.":[40],"However,":[41],"current":[42],"discretization":[43,66,72,164],"methods":[44],"employ":[45],"univariate":[46],"analysis,":[47],"which":[48],"may":[49],"lead":[50],"inaccurate":[52],"results.":[53,165],"aim":[55],"this":[57],"study":[58],"was":[59],"develop":[61],"a":[62,148],"novel":[63],"bivariate":[64],"optimal":[65,163],"approach,":[67],"known":[68],"as":[69,127,129],"multiscale":[71],"(MSD)":[73],"method.":[74],"objective":[76],"MSD":[79,110,146,168],"method":[80,111,153,169],"determine":[83],"an":[84],"appropriate":[85],"set":[86],"thresholds":[88],"for":[89,154],"X,":[90],"thereby":[91],"minimizing":[92],"Y":[96,179],"within":[97],"partitions":[100],"determined":[101],"by":[102],"discrete":[104,159],"X.":[105],"We":[106],"successfully":[107],"applied":[108],"relationship":[115],"precipitation":[118],"enhanced":[120],"vegetation":[121],"index":[122],"African":[125],"continent,":[126],"well":[128],"habitat":[131],"range":[132],"pandas":[134],"in":[135],"Ya\u2019an":[136],"County,":[137],"Sichuan":[138],"Province,":[139],"China.":[140],"results":[142,186],"demonstrate":[143],"that":[144],"feasible,":[149],"robust,":[150],"rapid":[152],"converting":[155],"continuous":[156],"data":[157],"data,":[160],"with":[161],"globally":[162],"Furthermore,":[166],"can":[170,183],"evaluate":[171],"degree":[173],"X":[177],"more":[180],"accurately,":[181],"optimize":[184],"GDM.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
