{"id":"https://openalex.org/W4290856502","doi":"https://doi.org/10.48550/arxiv.2208.05370","title":"A Comparison of Spatiotemporal Visualizations for 3D Urban Analytics","display_name":"A Comparison of Spatiotemporal Visualizations for 3D Urban Analytics","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4290856502","doi":"https://doi.org/10.48550/arxiv.2208.05370"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2208.05370","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":null,"is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"journal-article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2208.05370","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113879802","display_name":"Roberta Cabral Mota","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mota, Roberta","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065868869","display_name":"Nivan Ferreira","orcid":"https://orcid.org/0000-0001-6631-4609"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ferreira, Nivan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063552978","display_name":"Julio Daniel Silva","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Silva, Julio Daniel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065165477","display_name":"Marius Horga","orcid":"https://orcid.org/0000-0001-9602-5971"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Horga, Marius","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049830796","display_name":"Marcos Lage","orcid":"https://orcid.org/0000-0003-3868-8886"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lage, Marcos","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007804127","display_name":"Luis Ceferino","orcid":"https://orcid.org/0000-0003-0322-7510"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ceferino, Luis","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059407422","display_name":"Usman Alim","orcid":"https://orcid.org/0000-0003-4834-2475"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alim, Usman","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044649257","display_name":"Ehud Sharlin","orcid":"https://orcid.org/0000-0003-3881-2840"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sharlin, Ehud","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5104085385","display_name":"Fabio Miranda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miranda, Fabio","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":60},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9938,"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"}},"topics":[{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9938,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9848,"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":0.9502,"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/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.58384395},{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.54579407},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.4994471},{"id":"https://openalex.org/keywords/3d-city-models","display_name":"3D city models","score":0.48029706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7615653},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.7594037},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.58384395},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.54579407},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.52593523},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.51836425},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5178578},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5023885},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.4994471},{"id":"https://openalex.org/C2778597888","wikidata":"https://www.wikidata.org/wiki/Q172169","display_name":"3D city models","level":3,"score":0.48029706},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45399696},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4124934},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36075425},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2208.05370","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.05370","pdf_url":"http://arxiv.org/pdf/2208.05370","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2208.05370","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2208.05370","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":null,"is_accepted":false,"is_published":false},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.85,"id":"https://metadata.un.org/sdg/11"}],"grants":[],"datasets":[],"versions":["https://openalex.org/W4297459490"],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4302879739","https://openalex.org/W4297459490","https://openalex.org/W3127482518","https://openalex.org/W3004497735","https://openalex.org/W2911982569","https://openalex.org/W2148525144","https://openalex.org/W2138646726","https://openalex.org/W2136435231","https://openalex.org/W2067923524","https://openalex.org/W1873226627"],"abstract_inverted_index":{"Recent":[0],"technological":[1],"innovations":[2],"have":[3,79],"led":[4],"to":[5,32,38,64,71,144,168,230],"an":[6],"increase":[7],"in":[8,46,82,108,179,224],"the":[9,40,72,87,136],"availability":[10],"of":[11,43,67,89,116,138,163,241],"3D":[12,53,83,146,247],"urban":[13,44,55,84,126,148,249],"data,":[14],"such":[15],"as":[16,59],"shadow,":[17],"noise,":[18],"solar":[19],"potential,":[20],"and":[21,156,184,253],"earthquake":[22],"simulations.":[23],"These":[24],"spatiotemporal":[25,54,98,147,248],"datasets":[26],"create":[27],"opportunities":[28],"for":[29,181,246,251],"new":[30],"visualizations":[31,56,197,206,221,250],"engage":[33],"experts":[34],"from":[35,124],"different":[36,76],"domains":[37],"study":[39,134],"dynamic":[41],"behavior":[42],"spaces":[45],"this":[47,109],"under":[48],"explored":[49],"dimension.":[50],"However,":[51],"designing":[52],"is":[57],"challenging,":[58],"it":[60],"requires":[61],"visual":[62,77,85,93,141],"strategies":[63,78],"support":[65],"analysis":[66,99],"time-varying":[68],"data":[69],"referent":[70],"city":[73],"geometry.":[74],"Although":[75],"been":[80],"used":[81,143],"analytics,":[86],"question":[88],"how":[90],"effective":[91],"these":[92],"designs":[94,142],"are":[95],"at":[96],"supporting":[97],"on":[100,172,234],"building":[101,173],"surfaces":[102,174],"remains":[103],"open.":[104],"To":[105],"investigate":[106],"this,":[107],"paper":[110],"we":[111,237],"first":[112],"contribute":[113,130],"a":[114,131,161,239],"series":[115,162],"analytical":[117],"tasks":[118,164],"elicited":[119],"after":[120],"interviews":[121],"with":[122,216,243],"practitioners":[123],"three":[125],"domains.":[127],"We":[128],"also":[129,213],"quantitative":[132],"user":[133],"comparing":[135],"effectiveness":[137],"four":[139],"representative":[140],"visualize":[145],"data:":[149],"spatial":[150],"juxtaposition,":[151,153,208],"temporal":[152,209],"linked":[154],"view,":[155,199],"embedded":[157,200],"view.":[158],"Participants":[159],"performed":[160],"that":[165,190],"required":[166],"them":[167],"identify":[169],"extreme":[170],"values":[171],"over":[175],"time.":[176],"Tasks":[177],"varied":[178],"granularity":[180],"both":[182],"space":[183],"time":[185],"dimensions.":[186],"Our":[187,211],"results":[188,212],"demonstrate":[189],"participants":[191],"were":[192],"more":[193],"accurate":[194],"using":[195,204],"plot-based":[196,220],"(linked":[198],"view)":[201],"but":[202],"faster":[203],"color-coded":[205,231],"(spatial":[207],"juxtaposition).":[210],"show":[214],"that,":[215],"increasing":[217],"task":[218],"complexity,":[219],"perform":[222],"better":[223],"preserving":[225],"efficiency":[226],"(time,":[227],"accuracy)":[228],"compared":[229],"visualizations.":[232],"Based":[233],"our":[235],"findings,":[236],"present":[238],"set":[240],"takeaways":[242],"design":[244],"recommendations":[245],"researchers":[252],"practitioners.":[254]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4290856502","counts_by_year":[],"updated_date":"2025-01-04T20:29:42.523218","created_date":"2022-08-12"}