{"id":"https://openalex.org/W4416691606","doi":"https://doi.org/10.1080/13658816.2025.2591153","title":"Geographically weighted regression with convolutional neural networks to integrate attribute similarity and spatial proximity","display_name":"Geographically weighted regression with convolutional neural networks to integrate attribute similarity and spatial proximity","publication_year":2025,"publication_date":"2025-11-26","ids":{"openalex":"https://openalex.org/W4416691606","doi":"https://doi.org/10.1080/13658816.2025.2591153"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2025.2591153","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2025.2591153","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/A5020790434","display_name":"Lei Xu","orcid":"https://orcid.org/0000-0002-6454-2963"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Xu","raw_affiliation_strings":["National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan)","National Engineering Research Center for Geographic Information System, China University of Geoscience (Wuhan), Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6454-2963","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan)","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"National Engineering Research Center for Geographic Information System, China University of Geoscience (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yun Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Tao","raw_affiliation_strings":["National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan)","National Engineering Research Center for Geographic Information System, China University of Geoscience (Wuhan), Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan)","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"National Engineering Research Center for Geographic Information System, China University of Geoscience (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061544279","display_name":"Hongchu Yu","orcid":"https://orcid.org/0000-0003-3858-9212"},"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":false,"raw_author_name":"Hongchu Yu","raw_affiliation_strings":["School of Navigation, Wuhan University of Technology","School of Navigation, Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Navigation, Wuhan University of Technology","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Navigation, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088176505","display_name":"Wenying Du","orcid":"https://orcid.org/0000-0002-3202-5128"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenying Du","raw_affiliation_strings":["National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan)","National Engineering Research Center for Geographic Information System, China University of Geoscience (Wuhan), Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3202-5128","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan)","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"National Engineering Research Center for Geographic Information System, China University of Geoscience (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086235539","display_name":"Zeqiang Chen","orcid":"https://orcid.org/0000-0001-6624-6693"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeqiang Chen","raw_affiliation_strings":["National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan)","National Engineering Research Center for Geographic Information System, China University of Geoscience (Wuhan), Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6624-6693","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan)","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"National Engineering Research Center for Geographic Information System, China University of Geoscience (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084901503","display_name":"Nengcheng Chen","orcid":"https://orcid.org/0000-0002-3521-9972"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nengcheng Chen","raw_affiliation_strings":["National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan)","National Engineering Research Center for Geographic Information System, China University of Geoscience (Wuhan), Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3521-9972","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan)","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"National Engineering Research Center for Geographic Information System, China University of Geoscience (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020790434"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":4.1242,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94792308,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"40","issue":"7","first_page":"2190","last_page":"2215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.6876999735832214,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.6876999735832214,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.04820000007748604,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.024900000542402267,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5536999702453613},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5019999742507935},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48649999499320984},{"id":"https://openalex.org/keywords/geographically-weighted-regression","display_name":"Geographically Weighted Regression","score":0.44780001044273376},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4178999960422516},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.376800000667572}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5971999764442444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5864999890327454},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5536999702453613},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5019999742507935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48649999499320984},{"id":"https://openalex.org/C2910321205","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geographically Weighted Regression","level":2,"score":0.44780001044273376},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4178999960422516},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.376800000667572},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3637000024318695},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.27149999141693115},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26179999113082886},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2025.2591153","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2025.2591153","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/G1023083465","display_name":null,"funder_award_id":"42201509","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2260354472","display_name":null,"funder_award_id":"42101429","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2486650250","display_name":null,"funder_award_id":"42371415","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W646568294","https://openalex.org/W1829241487","https://openalex.org/W1974318029","https://openalex.org/W1980398988","https://openalex.org/W1986149296","https://openalex.org/W2047120335","https://openalex.org/W2124484282","https://openalex.org/W2370141717","https://openalex.org/W2727061231","https://openalex.org/W2895778259","https://openalex.org/W2896775444","https://openalex.org/W2908988533","https://openalex.org/W2917616628","https://openalex.org/W2948613401","https://openalex.org/W2998570674","https://openalex.org/W2998979210","https://openalex.org/W3000363244","https://openalex.org/W3003880635","https://openalex.org/W3012198031","https://openalex.org/W3035113138","https://openalex.org/W3094194011","https://openalex.org/W3212387283","https://openalex.org/W4210246397","https://openalex.org/W4210471172","https://openalex.org/W4223976737","https://openalex.org/W4280513466","https://openalex.org/W4280535562","https://openalex.org/W4297372927","https://openalex.org/W4304688514","https://openalex.org/W4311391400","https://openalex.org/W4360855650","https://openalex.org/W4376641362","https://openalex.org/W4377193474","https://openalex.org/W4394882139","https://openalex.org/W4395463936"],"related_works":[],"abstract_inverted_index":{"Geographically":[0],"weighted":[1,62,130],"regression":[2,63,138],"(GWR)":[3],"is":[4,15,32],"a":[5,117],"classic":[6],"local":[7],"linear":[8,137],"method":[9,65],"for":[10,72],"modeling":[11,22],"spatial":[12,24,39,43,73,77,113,123],"non-stationarity":[13,74],"that":[14,169],"applied":[16],"in":[17,26,178],"various":[18,36],"geographical":[19],"scenarios.":[20],"The":[21,166],"of":[23,38,49,53,93,180,196],"proximity":[25,78,105,114,118,124,144],"traditional":[27],"GWR":[28],"and":[29,79,112,125,135,157,163,182,187,194],"its":[30],"variants":[31],"usually":[33],"based":[34,75],"on":[35,76,154],"forms":[37],"distances":[40],"to":[41,70,115,121,145],"construct":[42],"weights,":[44],"overlooking":[45],"the":[46,59,90,141,151,161,170,174,192],"potential":[47],"effect":[48],"multidimensional":[50],"attribute":[51,80,83,94,110,126],"similarity":[52,111],"physical":[54],"entities.":[55],"Therefore,":[56],"we":[57],"proposed":[58],"geographically":[60],"spatial-attribute":[61,103,129,142],"(GSAWR)":[64],"with":[66],"convolutional":[67,85,131],"neural":[68,86,106,132],"networks":[69],"account":[71],"similarity.":[81,127],"An":[82],"fusion":[84],"network":[87,107,133],"(AFCNN)":[88],"considers":[89],"differential":[91],"effects":[92],"variables":[95],"by":[96],"assessing":[97],"similarities":[98],"among":[99],"multiple":[100],"variables.":[101],"A":[102,128],"joint":[104,143],"(SAJPNN)":[108],"combines":[109],"generate":[116],"measure":[119],"adaptive":[120],"both":[122],"(SAWCNN)":[134],"ordinary":[136],"(OLR)":[139],"use":[140],"make":[146],"final":[147],"predictions.":[148],"We":[149],"validated":[150],"GSAWR":[152,171,197],"approach":[153],"simulated":[155],"dataset":[156],"two":[158],"real-world":[159],"datasets:":[160],"PM2.5":[162],"HIV":[164],"datasets.":[165],"results":[167],"revealed":[168],"model":[172],"outperformed":[173],"other":[175],"baseline":[176],"models":[177],"terms":[179],"fitting":[181],"prediction":[183],"performance.":[184],"Ablation":[185],"experiments":[186],"coefficient":[188],"visualization":[189],"further":[190],"determined":[191],"effectiveness":[193],"interpretability":[195],"model.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-18T08:10:14.011955","created_date":"2025-11-27T00:00:00"}