{"id":"https://openalex.org/W3206634449","doi":"https://doi.org/10.1109/igarss47720.2021.9553487","title":"Subspace Optimal Transport for Spatial Bias Correction of Social Media Data: A Case Study of 2013 Boulder Flood Event","display_name":"Subspace Optimal Transport for Spatial Bias Correction of Social Media Data: A Case Study of 2013 Boulder Flood Event","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3206634449","doi":"https://doi.org/10.1109/igarss47720.2021.9553487","mag":"3206634449"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-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/A5101604036","display_name":"Zhenjie Liu","orcid":"https://orcid.org/0000-0001-6513-1149"},"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":"Zhenjie Liu","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, 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/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"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":"Jun Li","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, 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/A5010624980","display_name":"Javier Plaza","orcid":"https://orcid.org/0000-0002-2384-9141"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Plaza","raw_affiliation_strings":["Hyperspectral Computing Laboratory, University of Extremadura, Caceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, University of Extremadura, Caceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":["Hyperspectral Computing Laboratory, University of Extremadura, Caceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, University of Extremadura, Caceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101604036"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.9087,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79055228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"3249","last_page":"3252"},"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":0.9955000281333923,"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":0.9955000281333923,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9925000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7814555764198303},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.7225784063339233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6765115857124329},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6388427019119263},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5645667314529419},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5289759039878845},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.5000338554382324},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4279109537601471},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3779793977737427},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.29528650641441345},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22334879636764526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18482783436775208},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09042781591415405}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7814555764198303},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.7225784063339233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765115857124329},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6388427019119263},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5645667314529419},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5289759039878845},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.5000338554382324},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4279109537601471},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3779793977737427},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.29528650641441345},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22334879636764526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18482783436775208},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09042781591415405},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2294148482","display_name":null,"funder_award_id":"61901208","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":11,"referenced_works":["https://openalex.org/W2052995532","https://openalex.org/W2215149882","https://openalex.org/W2381966470","https://openalex.org/W2605388673","https://openalex.org/W2745024523","https://openalex.org/W2748984698","https://openalex.org/W2750351539","https://openalex.org/W2770697187","https://openalex.org/W2883574923","https://openalex.org/W3009330671","https://openalex.org/W3097561306"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2149583853","https://openalex.org/W2143002539","https://openalex.org/W4293472652","https://openalex.org/W2130386332","https://openalex.org/W4396641284"],"abstract_inverted_index":{"Social":[0],"media":[1,45],"data":[2,28,46],"generated":[3],"from":[4,103],"individuals":[5],"provides":[6],"a":[7,82,87,110,115],"unique":[8],"opportunity":[9],"to":[10,26,105,145],"gain":[11],"valuable":[12],"insight":[13],"on":[14,39],"information":[15],"flow,":[16],"especially":[17],"for":[18],"emergency":[19],"response.":[20],"However,":[21],"the":[22,30,52,123,147],"inherent":[23],"limitations":[24],"associated":[25],"these":[27],"(particularly,":[29],"spatial":[31,40],"bias)":[32],"restrict":[33],"its":[34],"precise":[35],"application.":[36],"Existing":[37],"research":[38],"bias":[41],"correction":[42],"of":[43],"social":[44],"mainly":[47],"face":[48],"two":[49],"issues:":[50],"1)":[51],"geographic":[53,129],"extent":[54],"in":[55],"target":[56],"domains":[57],"may":[58,65],"be":[59,66],"underestimated,":[60],"and":[61,85,122,128,155],"2)":[62],"source":[63],"elements":[64],"transported":[67],"within":[68],"inappropriate":[69],"distance.":[70,113],"In":[71],"this":[72],"paper,":[73],"we":[74],"take":[75],"2013":[76],"Boulder,":[77],"Colorado":[78],"flood":[79],"event":[80],"as":[81],"case":[83],"study,":[84],"present":[86],"new":[88,140],"method":[89,142],"called":[90],"subspace":[91],"optimal":[92,125,130],"transport":[93,126,131],"(SOT).":[94],"Our":[95],"proposed":[96],"SOT":[97,121,141],"aims":[98],"at":[99],"transporting":[100],"biased":[101,149],"tweets":[102],"dry":[104],"real":[106],"flooded":[107],"areas":[108],"with":[109,152],"relatively":[111],"close":[112],"Specifically,":[114],"comparison":[116],"between":[117],"our":[118,139],"newly":[119],"developed":[120],"traditional":[124],"(OT)":[127],"(GOT)":[132],"is":[133,143],"performed.":[134],"Experimental":[135],"results":[136],"demonstrate":[137],"that":[138],"able":[144],"correct":[146],"spatially":[148],"geo-referenced":[150],"tweets,":[151],"high":[153],"precision":[154],"excellent":[156],"computing":[157],"performance.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
