{"id":"https://openalex.org/W4407671328","doi":"https://doi.org/10.1080/13658816.2025.2466110","title":"Geographical and temporal density regression","display_name":"Geographical and temporal density regression","publication_year":2025,"publication_date":"2025-02-17","ids":{"openalex":"https://openalex.org/W4407671328","doi":"https://doi.org/10.1080/13658816.2025.2466110"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2025.2466110","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2025.2466110","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/A5023127879","display_name":"Binbin Lu","orcid":"https://orcid.org/0000-0001-7847-7560"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Binbin Lu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University"],"raw_orcid":"https://orcid.org/0000-0001-7847-7560","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056564874","display_name":"Yigong Hu","orcid":"https://orcid.org/0000-0002-9553-6275"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Yigong Hu","raw_affiliation_strings":["School of Geographical Sciences, University of Bristol","School of Remote Sensing and Information Engineering, Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographical Sciences, University of Bristol","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705731","display_name":"Bo Huang","orcid":"https://orcid.org/0000-0002-5063-3522"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bo Huang","raw_affiliation_strings":["Department of Geography, The University of Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-5063-3522","affiliations":[{"raw_affiliation_string":"Department of Geography, The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023127879"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":9.0198,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.97084015,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"39","issue":"8","first_page":"1705","last_page":"1726"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/geography","display_name":"Geography","score":0.6024711728096008},{"id":"https://openalex.org/keywords/geographically-weighted-regression","display_name":"Geographically Weighted Regression","score":0.47331297397613525},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.4442308843135834},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.43605560064315796},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.41609811782836914},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3537970185279846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20328617095947266}],"concepts":[{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.6024711728096008},{"id":"https://openalex.org/C2910321205","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geographically Weighted Regression","level":2,"score":0.47331297397613525},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.4442308843135834},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.43605560064315796},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.41609811782836914},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3537970185279846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20328617095947266}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2025.2466110","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2025.2466110","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":[{"score":0.5600000023841858,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G1055979603","display_name":"\u987e\u53ca\u5c3a\u5ea6\u4f18\u5316\u7684\u5730\u7406\u52a0\u6743\u56de\u5f52\u5206\u6790\u6280\u672f\u7814\u7a76","funder_award_id":"42071368","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2646707819","display_name":null,"funder_award_id":"2042024kf0005","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5836989003","display_name":null,"funder_award_id":"2042024kf0005, 2042022dx0001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6102162879","display_name":null,"funder_award_id":"2042022DX0001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1250261183","https://openalex.org/W1423766661","https://openalex.org/W1598151839","https://openalex.org/W1599043334","https://openalex.org/W1617406795","https://openalex.org/W1773028378","https://openalex.org/W1829241487","https://openalex.org/W1971713783","https://openalex.org/W1971794754","https://openalex.org/W1973749534","https://openalex.org/W1980398988","https://openalex.org/W1996786220","https://openalex.org/W2017977879","https://openalex.org/W2020136906","https://openalex.org/W2041565170","https://openalex.org/W2047120335","https://openalex.org/W2047368053","https://openalex.org/W2052793604","https://openalex.org/W2063143131","https://openalex.org/W2083336903","https://openalex.org/W2108447811","https://openalex.org/W2118020555","https://openalex.org/W2137295153","https://openalex.org/W2143190485","https://openalex.org/W2147279463","https://openalex.org/W2171074980","https://openalex.org/W2211925278","https://openalex.org/W2295984635","https://openalex.org/W2299327208","https://openalex.org/W2346552988","https://openalex.org/W2467447398","https://openalex.org/W2559688945","https://openalex.org/W2576199380","https://openalex.org/W2599875474","https://openalex.org/W2747207142","https://openalex.org/W2796128890","https://openalex.org/W2921548915","https://openalex.org/W2950495522","https://openalex.org/W3017286331","https://openalex.org/W3100085144","https://openalex.org/W3194059001","https://openalex.org/W4210246397","https://openalex.org/W4233014035","https://openalex.org/W4248721357","https://openalex.org/W4249932294","https://openalex.org/W4372194810","https://openalex.org/W4396561514","https://openalex.org/W4399194442","https://openalex.org/W6684704092","https://openalex.org/W6688384279","https://openalex.org/W6750605398"],"related_works":["https://openalex.org/W2783333685","https://openalex.org/W1881074467","https://openalex.org/W2238134912","https://openalex.org/W4381136829","https://openalex.org/W31220157","https://openalex.org/W4365510477","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W59857474"],"abstract_inverted_index":{"Spatial":[0],"heterogeneity":[1],"and":[2,16,62,76,93,126,130,178,181],"correlation":[3],"are":[4],"two":[5],"primary":[6],"geographical":[7,63,75],"effects":[8],"of":[9,85,96,120,141,149],"spatial":[10,91],"data.":[11],"Geographically":[12],"weighted":[13],"regression":[14,79],"(GWR)":[15],"its":[17,114],"extensions":[18],"were":[19],"proposed":[20],"to":[21,37,81,103,133],"quantitively":[22],"analyze":[23],"the":[24,90,138,166],"heterogeneous":[25],"features":[26],"in":[27,143,154,164,173,184],"data":[28,60,65,175,192],"relationships.":[29,193],"An":[30],"integrative":[31,152],"distance":[32,153],"metric":[33],"is":[34],"usually":[35],"adopted":[36],"calculate":[38],"proximity-based":[39],"weights":[40,92],"for":[41,44,109],"model":[42],"calibration":[43],"these":[45],"techniques.":[46,135],"However,":[47],"it":[48],"could":[49],"be":[50],"defective":[51],"when":[52],"dealing":[53],"with":[54,83,123,176],"higher":[55,177],"dimensional":[56],"data,":[57,128],"eg":[58],"spatio-temporal":[59,159,187],"(3-D),":[61],"flow":[64,161],"(4-D).":[66],"This":[67],"study":[68],"proposes":[69],"a":[70,100,170],"new":[71],"local":[72],"model,":[73],"namely":[74],"temporal":[77],"density":[78],"(GTDR),":[80],"deal":[82],"objects":[84],"flexible":[86],"dimensions":[87],"by":[88],"reconsidering":[89],"experimental":[94],"investigation":[95],"GWR.":[97],"We":[98],"use":[99],"Nelder-Mead":[101],"algorithm":[102],"optimize":[104],"each":[105,145],"kernel":[106],"function\u2019s":[107],"bandwidth":[108],"every":[110],"dimension.":[111],"To":[112],"validate":[113],"performance,":[115],"we":[116],"conduct":[117],"three":[118],"sets":[119],"simulation":[121],"experiments":[122],"2-D,":[124],"3-D,":[125],"4-D":[127],"respectively,":[129],"compare":[131],"them":[132],"conventional":[134],"Results":[136],"indicate":[137],"apparent":[139],"advantages":[140],"GTDR":[142,167],"treating":[144],"dimension":[146],"individually":[147],"instead":[148],"calculating":[150],"an":[151],"traditional":[155],"ways,":[156],"such":[157],"as":[158],"or":[160,188],"distances.":[162],"All":[163],"all,":[165],"technique":[168],"shows":[169],"promising":[171],"ability":[172],"fitting":[174],"diverse":[179],"dimensions,":[180],"exploring":[182],"heterogeneities":[183],"temporal,":[185],"spatial,":[186],"more":[189],"complex":[190],"structural":[191]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}