{"id":"https://openalex.org/W4307330166","doi":"https://doi.org/10.1145/3557916.3567819","title":"Generative adversarial networks for ensemble projections of future urban morphology","display_name":"Generative adversarial networks for ensemble projections of future urban morphology","publication_year":2022,"publication_date":"2022-10-26","ids":{"openalex":"https://openalex.org/W4307330166","doi":"https://doi.org/10.1145/3557916.3567819"},"language":"en","primary_location":{"id":"doi:10.1145/3557916.3567819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3557916.3567819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Melissa R. Allen-Dumas","orcid":null},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melissa R. Allen-Dumas","raw_affiliation_strings":["Oak Ridge National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069383613","display_name":"Abigail R. Wheelis","orcid":null},"institutions":[{"id":"https://openalex.org/I12162268","display_name":"Centre College","ror":"https://ror.org/00yvyvt82","country_code":"US","type":"education","lineage":["https://openalex.org/I12162268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abigail R. Wheelis","raw_affiliation_strings":["Centre College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre College","institution_ids":["https://openalex.org/I12162268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053624106","display_name":"Levi T. Sweet-Breu","orcid":null},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Levi T. Sweet-Breu","raw_affiliation_strings":["Oak Ridge National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052793009","display_name":"Joshua Anantharaj","orcid":null},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua Anantharaj","raw_affiliation_strings":["University of Tennessee"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025725109","display_name":"Kuldeep Kurte","orcid":"https://orcid.org/0000-0001-5797-7654"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kuldeep R. Kurte","raw_affiliation_strings":["Oak Ridge National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9855999946594238,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9855999946594238,"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"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9490000009536743,"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/T12325","display_name":"Urban Design and Spatial Analysis","score":0.9441999793052673,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/generative-grammar","display_name":"Generative grammar","score":0.7225821018218994},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6743826866149902},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6398613452911377},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.5673519372940063},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5461056232452393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5305493474006653},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4518841505050659},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4453151524066925},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4297890365123749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3705563247203827},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3596285581588745},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.319736123085022},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.20800074934959412}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7225821018218994},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6743826866149902},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6398613452911377},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.5673519372940063},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5461056232452393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5305493474006653},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4518841505050659},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4453151524066925},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4297890365123749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3705563247203827},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3596285581588745},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.319736123085022},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.20800074934959412},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3557916.3567819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3557916.3567819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.550000011920929,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1719536385","display_name":null,"funder_award_id":"DE-AC05-00OR22725","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2035582019","https://openalex.org/W2133665775","https://openalex.org/W2339754110","https://openalex.org/W2505477513","https://openalex.org/W2888832231","https://openalex.org/W2963073614","https://openalex.org/W2963185411","https://openalex.org/W3200026094","https://openalex.org/W4234948322","https://openalex.org/W4280497400","https://openalex.org/W4288079361","https://openalex.org/W6948303129","https://openalex.org/W6950175931"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724","https://openalex.org/W4283803360"],"abstract_inverted_index":{"As":[0],"city":[1,50],"planners":[2],"design":[3],"and":[4,10,23,74,96],"adapt":[5],"cities":[6,69],"for":[7,48,84],"future":[8,44,49],"resilience":[9],"intelligence,":[11],"interactions":[12],"among":[13],"neighborhood":[14,73,98],"morphological":[15],"development":[16],"with":[17],"respect":[18],"to":[19,59,70],"changes":[20],"in":[21],"population":[22],"resultant":[24],"built":[25],"infrastructure's":[26],"impact":[27],"on":[28],"the":[29],"natural":[30],"environment":[31],"must":[32],"be":[33],"considered.":[34],"For":[35],"deep":[36],"understanding":[37],"of":[38,43,88],"these":[39],"interactions,":[40],"explicit":[41],"representation":[42],"neighborhoods":[45,91],"is":[46],"necessary":[47],"modeling.":[51],"Generative":[52],"Adversarial":[53],"Networks":[54],"(GANs)":[55],"have":[56],"been":[57],"shown":[58],"produce":[60],"spatially":[61],"accurate":[62],"urban":[63],"forms":[64],"at":[65,72],"scales":[66],"representing":[67],"entire":[68],"those":[71],"single":[75],"building":[76],"scale.":[77],"Here":[78],"we":[79],"demonstrate":[80],"a":[81],"GAN":[82],"method":[83],"generating":[85],"an":[86],"ensemble":[87],"possible":[89],"new":[90],"given":[92],"land":[93],"use":[94],"characteristics":[95],"designated":[97],"type.":[99]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}