{"id":"https://openalex.org/W2623481471","doi":"https://doi.org/10.1080/13658816.2017.1334890","title":"Multi-level method for discovery of regional co-location patterns","display_name":"Multi-level method for discovery of regional co-location patterns","publication_year":2017,"publication_date":"2017-06-08","ids":{"openalex":"https://openalex.org/W2623481471","doi":"https://doi.org/10.1080/13658816.2017.1334890","mag":"2623481471"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2017.1334890","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2017.1334890","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/A5101738456","display_name":"Min Deng","orcid":"https://orcid.org/0000-0003-3305-9757"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Deng","raw_affiliation_strings":["Department of Geo-informatics, Central South University, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Department of Geo-informatics, Central South University, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050709106","display_name":"Jiannan Cai","orcid":"https://orcid.org/0000-0003-4752-0153"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiannan Cai","raw_affiliation_strings":["Department of Geo-informatics, Central South University, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Department of Geo-informatics, Central South University, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110306601","display_name":"Qiliang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiliang Liu","raw_affiliation_strings":["Department of Geo-informatics, Central South University, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Department of Geo-informatics, Central South University, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087182764","display_name":"Zhanjun He","orcid":"https://orcid.org/0000-0002-3476-5680"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanjun He","raw_affiliation_strings":["Department of Geo-informatics, Central South University, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Department of Geo-informatics, Central South University, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101998691","display_name":"Jianbo Tang","orcid":"https://orcid.org/0000-0002-9780-0439"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbo Tang","raw_affiliation_strings":["Department of Geo-informatics, Central South University, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Department of Geo-informatics, Central South University, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110306601"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":5.8035,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.9633988,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"31","issue":"9","first_page":"1846","last_page":"1870"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9678999781608582,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5254451632499695},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5202466249465942},{"id":"https://openalex.org/keywords/co-occurrence","display_name":"Co-occurrence","score":0.5038852095603943},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48407354950904846},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4719877541065216},{"id":"https://openalex.org/keywords/spatial-ecology","display_name":"Spatial ecology","score":0.44405075907707214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4289146661758423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4059067666530609},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.39406388998031616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1635417938232422},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.06812509894371033}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5254451632499695},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5202466249465942},{"id":"https://openalex.org/C154290570","wikidata":"https://www.wikidata.org/wiki/Q1756768","display_name":"Co-occurrence","level":2,"score":0.5038852095603943},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48407354950904846},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4719877541065216},{"id":"https://openalex.org/C158709400","wikidata":"https://www.wikidata.org/wiki/Q3578586","display_name":"Spatial ecology","level":2,"score":0.44405075907707214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4289146661758423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4059067666530609},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.39406388998031616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1635417938232422},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.06812509894371033},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2017.1334890","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2017.1334890","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":[],"awards":[{"id":"https://openalex.org/G2732435887","display_name":null,"funder_award_id":"41471385","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4345698267","display_name":null,"funder_award_id":"2016zzts430","funder_id":"https://openalex.org/F4320321514","funder_display_name":"Central South University"},{"id":"https://openalex.org/G6235007001","display_name":null,"funder_award_id":"2017JJ3379","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G8736118650","display_name":null,"funder_award_id":"41601410","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/F4320321514","display_name":"Central South University","ror":"https://ror.org/00f1zfq44"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W80917968","https://openalex.org/W195867472","https://openalex.org/W1484413656","https://openalex.org/W1515526911","https://openalex.org/W1673310716","https://openalex.org/W1966166469","https://openalex.org/W1974781388","https://openalex.org/W1987111416","https://openalex.org/W1992583634","https://openalex.org/W2004359385","https://openalex.org/W2019850843","https://openalex.org/W2030969541","https://openalex.org/W2032101051","https://openalex.org/W2034143770","https://openalex.org/W2050511892","https://openalex.org/W2054773288","https://openalex.org/W2059054797","https://openalex.org/W2078376456","https://openalex.org/W2088603092","https://openalex.org/W2100015990","https://openalex.org/W2107990165","https://openalex.org/W2128364989","https://openalex.org/W2128569550","https://openalex.org/W2136171062","https://openalex.org/W2160642098","https://openalex.org/W2161786407","https://openalex.org/W2161863664","https://openalex.org/W3022441826","https://openalex.org/W3176132770","https://openalex.org/W4233078437","https://openalex.org/W4252801131","https://openalex.org/W4253670299"],"related_works":["https://openalex.org/W4388311650","https://openalex.org/W5922282","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W2896298086","https://openalex.org/W1979622914","https://openalex.org/W2168217194","https://openalex.org/W2342604872","https://openalex.org/W2900585341","https://openalex.org/W3049300301"],"abstract_inverted_index":{"Regional":[0,39],"co-location":[1,29,40,55,62,69,77,93,114,121,144],"patterns":[2,30,41,56,63,70,94,115],"represent":[3],"subsets":[4],"of":[5,27,110,119,142],"feature":[6],"types":[7],"that":[8,133],"are":[9,21,31,95],"frequently":[10],"located":[11],"together":[12],"in":[13,15,57,139],"sub-regions":[14,20,90,109,118],"a":[16,23,36,49],"study":[17,37,47],"area.":[18,38],"These":[19],"unknown":[22],"priori,":[24],"and":[25,66,128],"instances":[26],"these":[28],"usually":[32],"unevenly":[33],"distributed":[34],"across":[35],"remain":[42],"challenging":[43],"to":[44,52,87,106],"discover.":[45],"This":[46],"developed":[48,105],"multi-level":[50],"method":[51,84,103,136],"identify":[53],"regional":[54,76,92,143],"two":[58],"steps.":[59],"First,":[60],"global":[61],"were":[64,71],"detected,":[65],"other":[67],"non-prevalent":[68],"identified":[72],"as":[73],"candidates":[74],"for":[75],"patterns.":[78,122,145],"Second,":[79],"an":[80,101],"adaptive":[81],"spatial":[82],"clustering":[83],"was":[85,104],"applied":[86],"detect":[88],"the":[89,108,117,134,140],"where":[91],"prevalent.":[96],"To":[97],"improve":[98],"computational":[99],"efficiency,":[100],"overlap":[102],"deduce":[107],"(k":[111],"+":[112],"1)-size":[113],"from":[116],"k-size":[120],"Experiments":[123],"based":[124],"on":[125],"both":[126],"synthetic":[127],"ecological":[129],"data":[130],"sets":[131],"showed":[132],"proposed":[135],"is":[137],"effective":[138],"detection":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
