{"id":"https://openalex.org/W4281801092","doi":"https://doi.org/10.3390/ijgi11060331","title":"A Multi-Scale Residential Areas Matching Method Considering Spatial Neighborhood Features","display_name":"A Multi-Scale Residential Areas Matching Method Considering Spatial Neighborhood Features","publication_year":2022,"publication_date":"2022-05-31","ids":{"openalex":"https://openalex.org/W4281801092","doi":"https://doi.org/10.3390/ijgi11060331"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi11060331","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11060331","pdf_url":"https://www.mdpi.com/2220-9964/11/6/331/pdf?version=1654164973","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/2220-9964/11/6/331/pdf?version=1654164973","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037534240","display_name":"Jingzhen Ma","orcid":"https://orcid.org/0000-0002-2195-0131"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingzhen Ma","raw_affiliation_strings":["Collaborative Innovation Center of Geo-Information Technology for Smart Central Plains, Zhengzhou 450000, China","Institute of Geospatial Information, Information Engineering University, Zhengzhou 450000, China","Key Laboratory of Spatiotemporal Perception and Intelligent Processing, Ministry of Natural Resources, Zhengzhou 450000, China"],"raw_orcid":"https://orcid.org/0000-0002-2195-0131","affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geo-Information Technology for Smart Central Plains, Zhengzhou 450000, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Geospatial Information, Information Engineering University, Zhengzhou 450000, China","institution_ids":["https://openalex.org/I169689159"]},{"raw_affiliation_string":"Key Laboratory of Spatiotemporal Perception and Intelligent Processing, Ministry of Natural Resources, Zhengzhou 450000, China","institution_ids":["https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088806191","display_name":"Qun Sun","orcid":"https://orcid.org/0000-0002-6880-0560"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Sun","raw_affiliation_strings":["Institute of Geospatial Information, Information Engineering University, Zhengzhou 450000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geospatial Information, Information Engineering University, Zhengzhou 450000, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhao Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Zhou","raw_affiliation_strings":["Institute of Geospatial Information, Information Engineering University, Zhengzhou 450000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geospatial Information, Information Engineering University, Zhengzhou 450000, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104108213","display_name":"Bowei Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowei Wen","raw_affiliation_strings":["Institute of Geospatial Information, Information Engineering University, Zhengzhou 450000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geospatial Information, Information Engineering University, Zhengzhou 450000, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002173873","display_name":"Shaomei Li","orcid":"https://orcid.org/0000-0002-8010-1850"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaomei Li","raw_affiliation_strings":["Institute of Geospatial Information, Information Engineering University, Zhengzhou 450000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geospatial Information, Information Engineering University, Zhengzhou 450000, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002173873"],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":{"value":1700,"currency":"CHF","value_usd":1893},"apc_paid":{"value":1700,"currency":"CHF","value_usd":1893},"fwci":2.8103,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90740422,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"11","issue":"6","first_page":"331","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9994000196456909,"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":0.9994000196456909,"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/T11106","display_name":"Data Management and Algorithms","score":0.9962000250816345,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9894999861717224,"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/matching","display_name":"Matching (statistics)","score":0.7988923788070679},{"id":"https://openalex.org/keywords/delaunay-triangulation","display_name":"Delaunay triangulation","score":0.6824625134468079},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6519926190376282},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5903161764144897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5885785222053528},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.5478413701057434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48474642634391785},{"id":"https://openalex.org/keywords/optimal-matching","display_name":"Optimal matching","score":0.46051350235939026},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42665261030197144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42217496037483215},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41755884885787964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3809986710548401},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28184300661087036},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22744065523147583},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19839414954185486},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14777350425720215},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12987953424453735},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1286853551864624}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7988923788070679},{"id":"https://openalex.org/C68010082","wikidata":"https://www.wikidata.org/wiki/Q192445","display_name":"Delaunay triangulation","level":2,"score":0.6824625134468079},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6519926190376282},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5903161764144897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5885785222053528},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.5478413701057434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48474642634391785},{"id":"https://openalex.org/C123853557","wikidata":"https://www.wikidata.org/wiki/Q7098946","display_name":"Optimal matching","level":3,"score":0.46051350235939026},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42665261030197144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42217496037483215},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41755884885787964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3809986710548401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28184300661087036},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22744065523147583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19839414954185486},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14777350425720215},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12987953424453735},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1286853551864624},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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":3,"locations":[{"id":"doi:10.3390/ijgi11060331","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11060331","pdf_url":"https://www.mdpi.com/2220-9964/11/6/331/pdf?version=1654164973","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:134c852a66d64094b0b4837c9af07d91","is_oa":false,"landing_page_url":"https://doaj.org/article/134c852a66d64094b0b4837c9af07d91","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 11, Iss 6, p 331 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/11/6/331/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi11060331","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 11; Issue 6; Pages: 331","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi11060331","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11060331","pdf_url":"https://www.mdpi.com/2220-9964/11/6/331/pdf?version=1654164973","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":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3171933150","display_name":null,"funder_award_id":"41901397","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5072235292","display_name":null,"funder_award_id":"212102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G522307152","display_name":null,"funder_award_id":"202101510001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5775236979","display_name":null,"funder_award_id":"42101454","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281801092.pdf","grobid_xml":"https://content.openalex.org/works/W4281801092.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1808644423","https://openalex.org/W1902905916","https://openalex.org/W1982687909","https://openalex.org/W2001278197","https://openalex.org/W2022735167","https://openalex.org/W2025785578","https://openalex.org/W2039530979","https://openalex.org/W2139810027","https://openalex.org/W2165979754","https://openalex.org/W2366008538","https://openalex.org/W2372431061","https://openalex.org/W2376236540","https://openalex.org/W2386421313","https://openalex.org/W2418640176","https://openalex.org/W2513059277","https://openalex.org/W2549804631","https://openalex.org/W2783248049","https://openalex.org/W2791932142","https://openalex.org/W2990515461","https://openalex.org/W2994619965","https://openalex.org/W2994679589","https://openalex.org/W2998106455","https://openalex.org/W3146783134","https://openalex.org/W4399270170","https://openalex.org/W6710524849"],"related_works":["https://openalex.org/W2546942002","https://openalex.org/W2970216048","https://openalex.org/W2786306966","https://openalex.org/W2382607599","https://openalex.org/W2374959876","https://openalex.org/W2521850565","https://openalex.org/W1497005071","https://openalex.org/W2415234700","https://openalex.org/W2387913549","https://openalex.org/W1090580760"],"abstract_inverted_index":{"Residential":[0],"areas":[1,22,115,145,227],"is":[2,62,123],"one":[3],"of":[4,16,28,70,112,130,141,169,188,195,210,215],"the":[5,10,17,26,34,66,103,106,113,120,127,135,142,150,161,170,193,211],"basic":[6],"geographical":[7],"elements":[8],"on":[9,199],"map":[11,18,47],"and":[12,30,53,109,119,137,166,191],"an":[13],"important":[14],"content":[15],"representation.":[19],"Multi-scale":[20],"residential":[21,72,114,144,216,226],"matching":[23,56,68,82,98,152,171,181,189,200,222,232],"refers":[24],"to":[25,64,79,125],"process":[27],"identifying":[29],"associating":[31],"entities":[32,83],"with":[33,229],"same":[35,104],"name":[36],"in":[37,46,84,224],"different":[38,85,131],"data":[39,49],"sources,":[40],"which":[41,94,149,177],"can":[42,95,184,205],"be":[43],"widely":[44],"used":[45,124],"compilation,":[48],"fusion,":[50],"change":[51],"detection":[52],"update.":[54],"A":[55],"method":[57,75,172,204],"considering":[58],"spatial":[59,91,138,212],"neighborhood":[60,92,139,213],"features":[61,108,111],"proposed":[63,203],"solve":[65],"complex":[67,81,221],"problem":[69],"multi-scale":[71,225],"areas.":[73],"The":[74,156,202],"uses":[76],"Delaunay":[77],"triangulation":[78],"divide":[80],"scales":[86],"into":[87],"closed":[88],"domains":[89],"through":[90],"clusters,":[93],"obtain":[96],"many-to-many":[97],"candidate":[99],"feature":[100],"sets.":[101],"At":[102],"time,":[105],"geometric":[107],"topological":[110],"are":[116,146,154,173],"fully":[117],"considered,":[118],"Relief-F":[121],"algorithm":[122],"determine":[126],"weight":[128],"values":[129],"similarity":[132,136,140],"features.":[133],"Then":[134],"polygon":[143],"calculated,":[147],"after":[148],"final":[151],"results":[153,158],"obtained.":[155],"experimental":[157],"show":[159],"that":[160],"accuracy":[162],"rate,":[163],"recall":[164],"rate":[165],"F":[167],"value":[168],"all":[174],"above":[175],"90%,":[176],"has":[178],"a":[179,186,230],"high":[180],"accuracy.":[182],"It":[183],"identify":[185,220],"variety":[187],"relationships":[190,223],"overcome":[192],"influence":[194],"certain":[196],"positional":[197],"deviations":[198],"results.":[201],"not":[206],"only":[207],"take":[208],"account":[209],"characteristics":[214],"areas,":[217],"but":[218],"also":[219],"accurately":[228],"good":[231],"effect.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}