{"id":"https://openalex.org/W4376562827","doi":"https://doi.org/10.1111/tgis.13062","title":"Linear feature conflation: An optimization\u2010based matching model with connectivity constraints","display_name":"Linear feature conflation: An optimization\u2010based matching model with connectivity constraints","publication_year":2023,"publication_date":"2023-05-14","ids":{"openalex":"https://openalex.org/W4376562827","doi":"https://doi.org/10.1111/tgis.13062"},"language":"en","primary_location":{"id":"doi:10.1111/tgis.13062","doi":"https://doi.org/10.1111/tgis.13062","is_oa":false,"landing_page_url":"https://doi.org/10.1111/tgis.13062","pdf_url":null,"source":{"id":"https://openalex.org/S859791518","display_name":"Transactions in GIS","issn_l":"1361-1682","issn":["1361-1682","1467-9671"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions in GIS","raw_type":"journal-article"},"volume":null,"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/A5038699223","display_name":"Ting Lei","orcid":"https://orcid.org/0000-0003-2385-9128","observed_orcids":["https://orcid.org/0000-0003-2385-9128"]},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ting L. Lei","raw_affiliation_strings":["Department of Geography and Atmospheric Science, University of Kansas, Lawrence, Kansas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography and Atmospheric Science, University of Kansas, Lawrence, Kansas, USA","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076496102","display_name":"Zhen Lei","orcid":"https://orcid.org/0000-0002-1378-4903","observed_orcids":["https://orcid.org/0000-0002-1378-4903"]},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Lei","raw_affiliation_strings":["College of Automation, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1378-4903","affiliations":[{"raw_affiliation_string":"College of Automation, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076496102"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":null,"fwci":3.0535,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91733777,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"27","issue":"4","first_page":"1205","last_page":"1227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.4771000146865845,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.4771000146865845,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.38989999890327454,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.0544000007212162,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/connectivity-constraints","display_name":"connectivity constraints","score":0.7549999952316284},{"id":"https://openalex.org/keywords/integer-linear-programming","display_name":"integer linear programming","score":0.7680000066757202},{"id":"https://openalex.org/keywords/topological-consistency","display_name":"topological consistency","score":0.7170000076293945},{"id":"https://openalex.org/keywords/road-network","display_name":"road network","score":0.6029999852180481},{"id":"https://openalex.org/keywords/structural-constraints","display_name":"structural constraints","score":0.6370000243186951},{"id":"https://openalex.org/keywords/false-match-reduction","display_name":"false match reduction","score":0.7110000252723694}],"concepts":[{"id":"https://openalex.org/C130440534","wikidata":"https://www.wikidata.org/wiki/Q14946528","display_name":"Conflation","level":2,"score":0.9933868646621704},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6665247678756714},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6637068390846252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6494850516319275},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5853970050811768},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5183542966842651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4696492552757263},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42856594920158386},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23093771934509277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14858382940292358},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11905890703201294},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.07641980051994324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0687008798122406},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1111/tgis.13062","doi":"https://doi.org/10.1111/tgis.13062","is_oa":false,"landing_page_url":"https://doi.org/10.1111/tgis.13062","pdf_url":null,"source":{"id":"https://openalex.org/S859791518","display_name":"Transactions in GIS","issn_l":"1361-1682","issn":["1361-1682","1467-9671"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions in GIS","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5569723585","display_name":null,"funder_award_id":"41971334","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8937166882","display_name":"Optimized spatial data conflation with topological conditions","funder_award_id":"2215155","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1518864151","https://openalex.org/W1594813923","https://openalex.org/W1969536374","https://openalex.org/W1971375508","https://openalex.org/W1977093968","https://openalex.org/W1982687909","https://openalex.org/W1999094940","https://openalex.org/W2001278197","https://openalex.org/W2003393310","https://openalex.org/W2033175785","https://openalex.org/W2047185150","https://openalex.org/W2049069062","https://openalex.org/W2248570027","https://openalex.org/W2513059277","https://openalex.org/W2621972302","https://openalex.org/W2972344601","https://openalex.org/W3035985370","https://openalex.org/W3124965393","https://openalex.org/W3135857098","https://openalex.org/W3164329153"],"related_works":["https://openalex.org/W3135857098","https://openalex.org/W2972344601","https://openalex.org/W3035985370","https://openalex.org/W4390471112","https://openalex.org/W4284889268","https://openalex.org/W2008166176","https://openalex.org/W1977093968","https://openalex.org/W2065721498","https://openalex.org/W2785497044","https://openalex.org/W7100822082"],"abstract_inverted_index":{"Abstract":[0],"Geospatial":[1],"data":[2,179],"conflation":[3,60,85,108,119,151,218],"is":[4,55,63,127,194,234],"the":[5,50,53,56,72,137,176,186,197,225,254],"process":[6],"of":[7,58,70,75,103,171,175],"combining":[8],"multiple":[9,247],"datasets":[10],"about":[11],"a":[12,17,66,154,169],"geographic":[13],"phenomenon":[14],"to":[15,28,46,96,156,223],"produce":[16,203],"single,":[18],"richer":[19],"dataset.":[20],"It":[21],"has":[22,86],"received":[23],"increased":[24],"research":[25],"attention":[26],"due":[27],"its":[29],"many":[30,42],"applications":[31],"in":[32,52,140],"map":[33],"making,":[34],"transportation,":[35],"planning,":[36],"and":[37,101,134,162,227,240,263],"temporal":[38],"geospatial":[39],"analyses,":[40],"among":[41,230],"others.":[43],"One":[44],"approach":[45],"conflation,":[47],"attempted":[48],"from":[49,81,159],"outset":[51],"literature,":[54],"use":[57],"optimization\u2010based":[59,107,217],"methods.":[61],"Conflation":[62],"treated":[64],"as":[65,125,168,185,192],"natural":[67],"optimization":[68],"problem":[69],"minimizing":[71],"total":[73],"number":[74],"discrepancies":[76],"while":[77,143],"finding":[78],"corresponding":[79,145],"features":[80,161],"two":[82],"datasets.":[83,249],"Optimization\u2010based":[84],"several":[87],"advantages":[88],"over":[89],"traditional":[90,123,243,266],"methods":[91,109,124],"including":[92],"conciseness,":[93],"being":[94],"able":[95],"find":[97],"an":[98],"optimal":[99,150],"solution,":[100],"ease":[102],"implementation.":[104],"However,":[105],"current":[106,117,149],"are":[110,130],"also":[111],"limited.":[112],"A":[113],"main":[114],"shortcoming":[115],"with":[116,220,242],"optimized":[118],"models":[120,152,201,219,245],"(and":[121],"other":[122,160],"well)":[126],"that":[128,253],"they":[129],"often":[131],"too":[132],"weak":[133],"cannot":[135],"utilize":[136],"spatial":[138],"context":[139],"each":[141,165],"dataset":[142,167],"matching":[144],"features.":[146,231],"In":[147,207],"particular,":[148],"match":[153],"feature":[155],"targets":[157],"independently":[158],"therefore":[163],"treat":[164],"GIS":[166,178],"collection":[170],"unrelated":[172],"elements,":[173],"reminiscent":[174],"spaghetti":[177],"model.":[180],"Important":[181],"contextual":[182],"information":[183],"such":[184,200],"connectivity":[187,226,257],"between":[188],"adjacent":[189],"elements":[190],"(such":[191],"roads)":[193],"neglected":[195],"during":[196],"matching.":[198],"Consequently,":[199],"may":[202],"topologically":[204],"inconsistent":[205],"results.":[206],"this":[208,212],"article,":[209],"we":[210],"address":[211],"issue":[213],"by":[214],"introducing":[215],"new":[216,255],"structural":[221],"constraints":[222],"preserve":[224],"contiguity":[228],"relation":[229],"The":[232],"model":[233,259],"implemented":[235],"using":[236],"integer":[237],"linear":[238],"programming":[239],"compared":[241],"spaghetti\u2010style":[244],"on":[246],"test":[248],"Experimental":[250],"results":[251],"show":[252],"element":[256],"(ec\u2010bimatching)":[258],"reduces":[260],"false":[261],"matches":[262],"consistently":[264],"outperforms":[265],"models.":[267]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2023-05-16T00:00:00"}
