{"id":"https://openalex.org/W2613571842","doi":"https://doi.org/10.1080/13658816.2017.1324976","title":"Classifying urban land use by integrating remote sensing and social media data","display_name":"Classifying urban land use by integrating remote sensing and social media data","publication_year":2017,"publication_date":"2017-05-10","ids":{"openalex":"https://openalex.org/W2613571842","doi":"https://doi.org/10.1080/13658816.2017.1324976","mag":"2613571842"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2017.1324976","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2017.1324976","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/A5120746624","display_name":"Xiaoping Liu","orcid":"https://orcid.org/0000-0003-4242-5392"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Liu","raw_affiliation_strings":["School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007143260","display_name":"Jialyu He","orcid":"https://orcid.org/0000-0002-0997-558X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialv He","raw_affiliation_strings":["School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027930243","display_name":"Yao Yao","orcid":"https://orcid.org/0000-0002-2830-0377"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yao Yao","raw_affiliation_strings":["School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100623090","display_name":"Jinbao Zhang","orcid":"https://orcid.org/0000-0001-8510-149X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinbao Zhang","raw_affiliation_strings":["School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haolin Liang","orcid":"https://orcid.org/0000-0001-6865-5650"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haolin Liang","raw_affiliation_strings":["School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101720120","display_name":"Wang Huan","orcid":"https://orcid.org/0000-0002-5291-2146"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Wang","raw_affiliation_strings":["School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073847508","display_name":"Ye Hong","orcid":"https://orcid.org/0000-0002-8996-3748"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Hong","raw_affiliation_strings":["School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5027930243"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":59.3767,"has_fulltext":false,"cited_by_count":362,"citation_normalized_percentile":{"value":0.99938477,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"31","issue":"8","first_page":"1675","last_page":"1696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/geospatial-analysis","display_name":"Geospatial analysis","score":0.6628290414810181},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5582289099693298},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.5281943082809448},{"id":"https://openalex.org/keywords/urban-planning","display_name":"Urban planning","score":0.5112578868865967},{"id":"https://openalex.org/keywords/volunteered-geographic-information","display_name":"Volunteered geographic information","score":0.5038215517997742},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4845987558364868},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4703538417816162},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.460105299949646},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4410393238067627},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.42451566457748413},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4212579131126404},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35110682249069214},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3287371098995209},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30110931396484375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29047349095344543},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11636888980865479},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09513029456138611}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6628290414810181},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5582289099693298},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.5281943082809448},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.5112578868865967},{"id":"https://openalex.org/C57380593","wikidata":"https://www.wikidata.org/wiki/Q933625","display_name":"Volunteered geographic information","level":2,"score":0.5038215517997742},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4845987558364868},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4703538417816162},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.460105299949646},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4410393238067627},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.42451566457748413},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4212579131126404},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35110682249069214},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3287371098995209},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30110931396484375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29047349095344543},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11636888980865479},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09513029456138611},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2017.1324976","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2017.1324976","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G4712505786","display_name":null,"funder_award_id":"41671398","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6390032288","display_name":null,"funder_award_id":"41601420","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7464793345","display_name":null,"funder_award_id":"41531176","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":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W600227079","https://openalex.org/W605692229","https://openalex.org/W1157380099","https://openalex.org/W1526295910","https://openalex.org/W1532257412","https://openalex.org/W1560851690","https://openalex.org/W1566135517","https://openalex.org/W1589362500","https://openalex.org/W1601187690","https://openalex.org/W1785314841","https://openalex.org/W1824774525","https://openalex.org/W1927211154","https://openalex.org/W1963860205","https://openalex.org/W1969486090","https://openalex.org/W1970473112","https://openalex.org/W1972631516","https://openalex.org/W1974981350","https://openalex.org/W1975732787","https://openalex.org/W1980038761","https://openalex.org/W1984792953","https://openalex.org/W1987971958","https://openalex.org/W1990444226","https://openalex.org/W1996777760","https://openalex.org/W2003425021","https://openalex.org/W2005960529","https://openalex.org/W2019400799","https://openalex.org/W2024106504","https://openalex.org/W2033176844","https://openalex.org/W2047822617","https://openalex.org/W2049677900","https://openalex.org/W2053627933","https://openalex.org/W2061240006","https://openalex.org/W2061278117","https://openalex.org/W2066941820","https://openalex.org/W2069525662","https://openalex.org/W2075594746","https://openalex.org/W2077563243","https://openalex.org/W2078578584","https://openalex.org/W2087743880","https://openalex.org/W2094455438","https://openalex.org/W2097225206","https://openalex.org/W2103079830","https://openalex.org/W2106599325","https://openalex.org/W2112620321","https://openalex.org/W2112738128","https://openalex.org/W2113016544","https://openalex.org/W2115799903","https://openalex.org/W2128327811","https://openalex.org/W2144314902","https://openalex.org/W2152640741","https://openalex.org/W2153207204","https://openalex.org/W2153635508","https://openalex.org/W2154144021","https://openalex.org/W2156613212","https://openalex.org/W2159136761","https://openalex.org/W2165846633","https://openalex.org/W2168791259","https://openalex.org/W2174706414","https://openalex.org/W2180927083","https://openalex.org/W2202958134","https://openalex.org/W2228663435","https://openalex.org/W2234797286","https://openalex.org/W2235354848","https://openalex.org/W2276327097","https://openalex.org/W2348272141","https://openalex.org/W2355785586","https://openalex.org/W2358582527","https://openalex.org/W2472057509","https://openalex.org/W2477878354","https://openalex.org/W2484114084","https://openalex.org/W2524324335","https://openalex.org/W2534538876","https://openalex.org/W2566415567","https://openalex.org/W2586749094","https://openalex.org/W2953145849","https://openalex.org/W4230872509","https://openalex.org/W4239838664","https://openalex.org/W4247878487","https://openalex.org/W4285088909"],"related_works":["https://openalex.org/W2733029865","https://openalex.org/W1991837421","https://openalex.org/W2955098766","https://openalex.org/W2269136550","https://openalex.org/W3041947657","https://openalex.org/W2114948960","https://openalex.org/W2464857583","https://openalex.org/W2587563374","https://openalex.org/W2615781907","https://openalex.org/W1898428141"],"abstract_inverted_index":{"Urban":[0],"land":[1,40,89,109,149,213],"use":[2,41,90,110,150,214],"information":[3],"plays":[4],"an":[5],"important":[6],"role":[7],"in":[8,229],"urban":[9,22,32,39,88,204,208,212],"management,":[10],"government":[11],"policy-making,":[12],"and":[13,104,125,210,216],"population":[14],"activity":[15],"monitoring.":[16],"However,":[17],"the":[18,29,70,93,114,148,176,194,230],"accurate":[19],"classification":[20,42,83,151,166,195],"of":[21,31,72,95,153,160,178],"functional":[23],"zones":[24],"is":[25],"challenging":[26],"due":[27,68],"to":[28,69,85,136,146,192,202],"complexity":[30],"systems.":[33],"Many":[34],"studies":[35,64],"have":[36],"focused":[37],"on":[38],"by":[43,99,118],"considering":[44],"features":[45,67,121,128,183,191],"that":[46,181],"are":[47],"extracted":[48,184],"from":[49,122,129,185,219],"either":[50],"high":[51],"spatial":[52],"resolution":[53],"(HSR)":[54],"remote":[55],"sensing":[56],"images":[57,124],"or":[58],"social":[59,131],"media":[60,132],"data,":[61,141],"but":[62],"few":[63],"consider":[65],"both":[66],"lack":[71],"available":[73],"models.":[74],"In":[75,134],"our":[76,154,179],"study,":[77],"we":[78,142],"propose":[79],"a":[80],"novel":[81],"scene":[82],"framework":[84,115,228],"identify":[86],"dominant":[87],"type":[91],"at":[92],"level":[94],"traffic":[96],"analysis":[97],"zone":[98],"integrating":[100],"probabilistic":[101],"topic":[102],"models":[103],"support":[105],"vector":[106],"machine.":[107],"A":[108],"word":[111],"dictionary":[112],"inside":[113],"was":[116],"built":[117],"fusing":[119],"natural\u2013physical":[120],"HSR":[123],"socioeconomic":[126],"semantic":[127,163,190],"multisource":[130,186],"data.":[133],"addition":[135],"comparing":[137],"with":[138,157],"manual":[139],"interpretation":[140],"designed":[143],"several":[144],"experiments":[145],"test":[147],"accuracy":[152,169],"proposed":[155,227],"model":[156],"different":[158],"combinations":[159],"previously":[161],"acquired":[162],"features.":[164],"The":[165],"results":[167],"(overall":[168],"=":[170,173],"0.865,":[171],"Kappa":[172],"0.828)":[174],"demonstrate":[175],"effectiveness":[177],"strategy":[180],"blends":[182],"geospatial":[187],"data":[188,218],"as":[189],"train":[193],"model.":[196],"This":[197],"method":[198],"can":[199],"be":[200,223],"applied":[201],"help":[203],"planners":[205],"analyze":[206],"fine":[207],"structures":[209],"monitor":[211],"changes,":[215],"additional":[217],"multiple":[220],"sources":[221],"will":[222],"blended":[224],"into":[225],"this":[226],"future.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":38},{"year":2024,"cited_by_count":47},{"year":2023,"cited_by_count":61},{"year":2022,"cited_by_count":59},{"year":2021,"cited_by_count":43},{"year":2020,"cited_by_count":42},{"year":2019,"cited_by_count":34},{"year":2018,"cited_by_count":23},{"year":2017,"cited_by_count":5}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}