{"id":"https://openalex.org/W4388081873","doi":"https://doi.org/10.1080/10095020.2023.2264342","title":"Large-scale urban building function mapping by integrating multi-source web-based geospatial data","display_name":"Large-scale urban building function mapping by integrating multi-source web-based geospatial data","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388081873","doi":"https://doi.org/10.1080/10095020.2023.2264342"},"language":"en","primary_location":{"id":"doi:10.1080/10095020.2023.2264342","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2023.2264342","pdf_url":null,"source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/10095020.2023.2264342","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100344447","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0002-5431-8837"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["Department of Geological and Atmospheric Sciences, Iowa State University, Ames, USA"],"raw_orcid":"https://orcid.org/0000-0002-5431-8837","affiliations":[{"raw_affiliation_string":"Department of Geological and Atmospheric Sciences, Iowa State University, Ames, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091835003","display_name":"Yuyu Zhou","orcid":null},"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":true,"raw_author_name":"Yuyu Zhou","raw_affiliation_strings":["Department of Geography, The University of Hong Kong, Hong Kong, China","Urban Systems Institute, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-1765-6789","affiliations":[{"raw_affiliation_string":"Department of Geography, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Urban Systems Institute, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059917984","display_name":"Eleanor C. Stokes","orcid":"https://orcid.org/0000-0002-0204-8847"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eleanor C. Stokes","raw_affiliation_strings":["NASA Headquarters, Washington, USA"],"raw_orcid":"https://orcid.org/0000-0002-0204-8847","affiliations":[{"raw_affiliation_string":"NASA Headquarters, Washington, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100429430","display_name":"Xuesong Zhang","orcid":"https://orcid.org/0000-0003-4711-7751"},"institutions":[{"id":"https://openalex.org/I1312222531","display_name":"Agricultural Research Service","ror":"https://ror.org/02d2m2044","country_code":"US","type":"government","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuesong Zhang","raw_affiliation_strings":["USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, USA"],"raw_orcid":"https://orcid.org/0000-0003-4711-7751","affiliations":[{"raw_affiliation_string":"USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, USA","institution_ids":["https://openalex.org/I1312222531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091835003"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":{"value":1625,"currency":"GBP","value_usd":1993},"apc_paid":{"value":1625,"currency":"GBP","value_usd":1993},"fwci":11.924,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.98522232,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"27","issue":"6","first_page":"1785","last_page":"1799"},"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9983000159263611,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.8783359527587891},{"id":"https://openalex.org/keywords/web-crawler","display_name":"Web crawler","score":0.6478484869003296},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5699704885482788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5255067348480225},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49054139852523804},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.4528362452983856},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.4355010390281677},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.41468727588653564},{"id":"https://openalex.org/keywords/urban-planning","display_name":"Urban planning","score":0.4134669899940491},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3942061960697174},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39076393842697144},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3219132423400879},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.29989612102508545},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.2299329936504364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18269720673561096},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17427590489387512}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.8783359527587891},{"id":"https://openalex.org/C13743948","wikidata":"https://www.wikidata.org/wiki/Q45842","display_name":"Web crawler","level":2,"score":0.6478484869003296},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5699704885482788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5255067348480225},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49054139852523804},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.4528362452983856},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.4355010390281677},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.41468727588653564},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.4134669899940491},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3942061960697174},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39076393842697144},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3219132423400879},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.29989612102508545},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.2299329936504364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18269720673561096},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17427590489387512},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/10095020.2023.2264342","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2023.2264342","pdf_url":null,"source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:04f614aaea3441e18816c841b518cb07","is_oa":false,"landing_page_url":"https://doaj.org/article/04f614aaea3441e18816c841b518cb07","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":"Geo-spatial Information Science, Vol 27, Iss 6, Pp 1785-1799 (2024)","raw_type":"article"},{"id":"pmh:oai:hub.hku.hk:10722/347919","is_oa":true,"landing_page_url":"https://hub.hku.hk/handle/10722/347919","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1080/10095020.2023.2264342","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2023.2264342","pdf_url":null,"source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5437628512","display_name":null,"funder_award_id":"1854502","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/F4320306114","display_name":"U.S. Department of Agriculture","ror":"https://ror.org/01na82s61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W212687463","https://openalex.org/W1269202030","https://openalex.org/W1785314841","https://openalex.org/W1978338723","https://openalex.org/W2061171922","https://openalex.org/W2080466862","https://openalex.org/W2112620321","https://openalex.org/W2116789748","https://openalex.org/W2118195329","https://openalex.org/W2144325527","https://openalex.org/W2153207204","https://openalex.org/W2545881481","https://openalex.org/W2606660744","https://openalex.org/W2612868106","https://openalex.org/W2625259639","https://openalex.org/W2737537892","https://openalex.org/W2748337466","https://openalex.org/W2768636870","https://openalex.org/W2771016175","https://openalex.org/W2776425102","https://openalex.org/W2792902168","https://openalex.org/W2793780140","https://openalex.org/W2947969980","https://openalex.org/W2963610697","https://openalex.org/W3005667247","https://openalex.org/W3014944758","https://openalex.org/W3016217604","https://openalex.org/W3082244415","https://openalex.org/W3092907071","https://openalex.org/W3097450156","https://openalex.org/W3110158894","https://openalex.org/W3209961677","https://openalex.org/W4210348908","https://openalex.org/W4220686148","https://openalex.org/W4253530929","https://openalex.org/W4308430910","https://openalex.org/W4320477239","https://openalex.org/W6754848004"],"related_works":["https://openalex.org/W3005260231","https://openalex.org/W2904469652","https://openalex.org/W4362647146","https://openalex.org/W2383572231","https://openalex.org/W3155483442","https://openalex.org/W4214818710","https://openalex.org/W4296970743","https://openalex.org/W4205665237","https://openalex.org/W2365031108","https://openalex.org/W2767216760"],"abstract_inverted_index":{"Morphological":[0],"(e.g.":[1,8],"shape,":[2],"size,":[3],"and":[4,6,11,22,97,106,142,163,182,195],"height)":[5],"function":[7],"working,":[9],"living,":[10],"shopping)":[12],"information":[13],"of":[14,41,92,140,146,180,186,192,216],"buildings":[15,126],"is":[16,46,200],"highly":[17],"needed":[18],"for":[19,219],"urban":[20,222],"planning":[21],"management":[23],"as":[24,26,30,225],"well":[25],"other":[27,203],"applications":[28],"such":[29,224],"city-scale":[31,221],"building":[32,51,54,71,134,226,233],"energy":[33,227],"use":[34,108,148,218,228],"modeling.":[35],"Due":[36],"to":[37,49,69,89,103,123,152,202],"the":[38,137,143,170,189,197,206,231],"limited":[39],"availability":[40],"socio-economic":[42],"geospatial":[43,81],"data,":[44],"it":[45],"more":[47],"challenging":[48],"map":[50,70,99],"functions":[52,72,156],"than":[53],"morphological":[55],"information,":[56],"especially":[57],"over":[58,205,235],"large":[59,236],"areas.":[60,237],"In":[61],"this":[62,213],"study,":[63],"we":[64],"proposed":[65,171,198],"an":[66,114,176],"integrated":[67],"framework":[68,172,199],"in":[73],"50":[74],"U.S.":[75],"cities":[76,204],"by":[77],"integrating":[78],"multi-source":[79],"web-based":[80],"data.":[82],"First,":[83],"a":[84,98,183],"web":[85],"crawler":[86,100],"was":[87,101,121],"developed":[88,102],"extract":[90,104],"Points":[91],"Interest":[93],"(POIs)":[94],"from":[95,110,132,212],"Tripadvisor.com,":[96,196],"POIs":[105,141],"land":[107,147],"parcels":[109,149],"Google":[111,193],"Maps.":[112],"Second,":[113],"unsupervised":[115],"machine":[116],"learning":[117],"algorithm":[118],"named":[119],"OneClassSVM":[120],"used":[122,151],"identify":[124,153],"residential":[125],"based":[127],"on":[128],"landscape":[129],"features":[130],"derived":[131],"Microsoft":[133],"footprints.":[135],"Third,":[136],"type":[138],"ratio":[139,145],"area":[144],"were":[150],"six":[154],"non-residential":[155],"(i.e.":[157],"hospital,":[158],"hotel,":[159],"school,":[160],"shop,":[161],"restaurant,":[162],"office).":[164],"The":[165,208],"accuracy":[166,179],"assessment":[167],"indicates":[168],"that":[169],"performed":[173],"well,":[174],"with":[175],"average":[177],"overall":[178],"94%":[181],"kappa":[184],"coefficient":[185],"0.63.":[187],"With":[188],"worldwide":[190],"coverage":[191],"Maps":[194],"transferable":[201],"world.":[207],"data":[209],"products":[210],"generated":[211],"study":[214],"are":[215],"great":[217],"quantitative":[220],"studies,":[223],"modeling":[229],"at":[230],"single":[232],"level":[234]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":15}],"updated_date":"2026-06-10T14:10:52.464848","created_date":"2025-10-10T00:00:00"}
