{"id":"https://openalex.org/W4416183286","doi":"https://doi.org/10.1109/sibgrapi67909.2025.11223351","title":"Exploring Urban Factors with Autoencoders: Relationship Between Static and Dynamic Features","display_name":"Exploring Urban Factors with Autoencoders: Relationship Between Static and Dynamic Features","publication_year":2025,"publication_date":"2025-09-30","ids":{"openalex":"https://openalex.org/W4416183286","doi":"https://doi.org/10.1109/sibgrapi67909.2025.11223351"},"language":null,"primary_location":{"id":"doi:10.1109/sibgrapi67909.2025.11223351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi67909.2025.11223351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 38th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","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/A5016377903","display_name":"Ximena Pocco","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092357","display_name":"Institute of Mathematics and Computer Science","ror":"https://ror.org/00fy4at53","country_code":"MD","type":"facility","lineage":["https://openalex.org/I112090838","https://openalex.org/I4210092357"]}],"countries":["MD"],"is_corresponding":false,"raw_author_name":"Ximena Pocco","raw_affiliation_strings":["ICMC, University of Sao Paulo,Sao Carlos,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICMC, University of Sao Paulo,Sao Carlos,Brazil","institution_ids":["https://openalex.org/I4210092357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101548753","display_name":"Waqar Ul Hassan","orcid":"https://orcid.org/0009-0000-4929-3316"},"institutions":[{"id":"https://openalex.org/I4210092357","display_name":"Institute of Mathematics and Computer Science","ror":"https://ror.org/00fy4at53","country_code":"MD","type":"facility","lineage":["https://openalex.org/I112090838","https://openalex.org/I4210092357"]}],"countries":["MD"],"is_corresponding":false,"raw_author_name":"Waqar Hassan","raw_affiliation_strings":["ICMC, University of Sao Paulo,Sao Carlos,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICMC, University of Sao Paulo,Sao Carlos,Brazil","institution_ids":["https://openalex.org/I4210092357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006088499","display_name":"Karelia Salinas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092357","display_name":"Institute of Mathematics and Computer Science","ror":"https://ror.org/00fy4at53","country_code":"MD","type":"facility","lineage":["https://openalex.org/I112090838","https://openalex.org/I4210092357"]}],"countries":["MD"],"is_corresponding":false,"raw_author_name":"Karelia Salinas","raw_affiliation_strings":["ICMC, University of Sao Paulo,Sao Carlos,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICMC, University of Sao Paulo,Sao Carlos,Brazil","institution_ids":["https://openalex.org/I4210092357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063985329","display_name":"Vladimir Molchanov","orcid":"https://orcid.org/0000-0003-3038-0406"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vladimir Molchanov","raw_affiliation_strings":["University of Münster,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Münster,Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011424640","display_name":"Lu\u00eds Gustavo Nonato","orcid":"https://orcid.org/0000-0002-8514-8033"},"institutions":[{"id":"https://openalex.org/I4210092357","display_name":"Institute of Mathematics and Computer Science","ror":"https://ror.org/00fy4at53","country_code":"MD","type":"facility","lineage":["https://openalex.org/I112090838","https://openalex.org/I4210092357"]}],"countries":["MD"],"is_corresponding":false,"raw_author_name":"Luis G. Nonato","raw_affiliation_strings":["ICMC, University of Sao Paulo,Sao Carlos,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICMC, University of Sao Paulo,Sao Carlos,Brazil","institution_ids":["https://openalex.org/I4210092357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9349,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8092784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T10799","display_name":"Data Visualization and Analytics","score":0.5210000276565552,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.5210000276565552,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12325","display_name":"Urban Design and Spatial Analysis","score":0.1720000058412552,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.08190000057220459,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6128000020980835},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.554099977016449},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5127000212669373},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5001999735832214},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.4618000090122223},{"id":"https://openalex.org/keywords/data-exploration","display_name":"Data exploration","score":0.3993000090122223},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.31299999356269836},{"id":"https://openalex.org/keywords/urban-planning","display_name":"Urban planning","score":0.3061999976634979}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7092000246047974},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6128000020980835},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.554099977016449},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5388000011444092},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5127000212669373},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5001999735832214},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.4618000090122223},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42320001125335693},{"id":"https://openalex.org/C2780977526","wikidata":"https://www.wikidata.org/wiki/Q42417149","display_name":"Data exploration","level":3,"score":0.3993000090122223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32899999618530273},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.304500013589859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2978000044822693},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.296099990606308},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C2778459138","wikidata":"https://www.wikidata.org/wiki/Q7900107","display_name":"Urban computing","level":2,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sibgrapi67909.2025.11223351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi67909.2025.11223351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 38th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1988726303","https://openalex.org/W2086446333","https://openalex.org/W2619383789","https://openalex.org/W2807795618","https://openalex.org/W2886084313","https://openalex.org/W2890481183","https://openalex.org/W2921877879","https://openalex.org/W2952613166","https://openalex.org/W2989010797","https://openalex.org/W3023625663","https://openalex.org/W3046252510","https://openalex.org/W3080570305","https://openalex.org/W3107171648","https://openalex.org/W3117922963","https://openalex.org/W3122555173","https://openalex.org/W3188497560","https://openalex.org/W3200692557","https://openalex.org/W3216749785","https://openalex.org/W4225256012","https://openalex.org/W4285727574","https://openalex.org/W4306759050","https://openalex.org/W4312617239","https://openalex.org/W4312936914","https://openalex.org/W4319993328","https://openalex.org/W4388739142","https://openalex.org/W4389880113","https://openalex.org/W4390667242","https://openalex.org/W4391558028","https://openalex.org/W4396596636","https://openalex.org/W4399794065","https://openalex.org/W4401007975","https://openalex.org/W4402402085","https://openalex.org/W4403938291","https://openalex.org/W4406942199"],"related_works":[],"abstract_inverted_index":{"Urban":[0],"analytics":[1,41],"utilizes":[2],"extensive":[3],"datasets":[4],"with":[5],"diverse":[6],"urban":[7,119],"information":[8],"to":[9,30,46,72,99],"simulate,":[10],"predict":[11],"trends,":[12],"and":[13,34,56,117],"uncover":[14],"complex":[15],"patterns":[16,114],"within":[17,86],"cities.":[18],"While":[19],"these":[20,38],"data":[21,75,83,104],"enables":[22],"advanced":[23],"analysis,":[24],"it":[25],"also":[26],"presents":[27],"challenges":[28],"due":[29],"its":[31],"granularity,":[32],"heterogeneity,":[33],"multimodality.":[35],"To":[36],"address":[37],"challenges,":[39],"visual":[40],"tools":[42,67],"have":[43],"been":[44],"developed":[45,95],"support":[47],"the":[48,70],"exploration":[49],"of":[50,53,63],"latent":[51,103,126],"representations":[52,105,111,127],"fused":[54,74,102],"heterogeneous":[55],"multimodal":[57],"data,":[58],"discretized":[59],"at":[60],"a":[61,96],"street-level":[62],"detail.":[64],"However,":[65],"visualization-assisted":[66,97],"seldom":[68],"explore":[69],"extent":[71],"which":[73],"can":[76],"offer":[77],"deeper":[78],"insights":[79],"than":[80,109],"examining":[81],"each":[82],"source":[84],"independently":[85],"an":[87],"integrated":[88],"visualization":[89],"framework.":[90],"In":[91],"this":[92],"work,":[93],"we":[94],"framework":[98],"analyze":[100],"whether":[101],"are":[106,135],"more":[107,129],"effective":[108],"separate":[110,133],"in":[112,137],"uncovering":[113],"from":[115],"dynamic":[116],"static":[118],"data.":[120],"The":[121],"analysis":[122],"reveals":[123],"that":[124],"combined":[125],"produce":[128],"structured":[130],"patterns,":[131],"while":[132],"ones":[134],"useful":[136],"particular":[138],"cases.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-11T00:00:00"}