{"id":"https://openalex.org/W2149842418","doi":"https://doi.org/10.1057/palgrave.ivs.9500185","title":"Using treemaps for variable selection in spatio-temporal visualisation","display_name":"Using treemaps for variable selection in spatio-temporal visualisation","publication_year":2008,"publication_date":"2008-07-17","ids":{"openalex":"https://openalex.org/W2149842418","doi":"https://doi.org/10.1057/palgrave.ivs.9500185","mag":"2149842418"},"language":"en","primary_location":{"id":"doi:10.1057/palgrave.ivs.9500185","is_oa":false,"landing_page_url":"https://doi.org/10.1057/palgrave.ivs.9500185","pdf_url":null,"source":{"id":"https://openalex.org/S55152591","display_name":"Information Visualization","issn_l":"1473-8716","issn":["1473-8716","1473-8724"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Visualization","raw_type":"journal-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/A5071681891","display_name":"Aidan Slingsby","orcid":"https://orcid.org/0000-0003-3941-553X"},"institutions":[{"id":"https://openalex.org/I180825142","display_name":"City, University of London","ror":"https://ror.org/04489at23","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I180825142"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Aidan Slingsby","raw_affiliation_strings":["giCentre, Department of Information Science, City University London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"giCentre, Department of Information Science, City University London, London, U.K","institution_ids":["https://openalex.org/I180825142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079369129","display_name":"Jason Dykes","orcid":"https://orcid.org/0000-0002-8096-5763"},"institutions":[{"id":"https://openalex.org/I180825142","display_name":"City, University of London","ror":"https://ror.org/04489at23","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I180825142"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jason Dykes","raw_affiliation_strings":["giCentre, Department of Information Science, City University London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"giCentre, Department of Information Science, City University London, London, U.K","institution_ids":["https://openalex.org/I180825142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048992354","display_name":"Jo Wood","orcid":"https://orcid.org/0000-0001-9270-247X"},"institutions":[{"id":"https://openalex.org/I180825142","display_name":"City, University of London","ror":"https://ror.org/04489at23","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I180825142"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jo Wood","raw_affiliation_strings":["giCentre, Department of Information Science, City University London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"giCentre, Department of Information Science, City University London, London, U.K","institution_ids":["https://openalex.org/I180825142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071681891"],"corresponding_institution_ids":["https://openalex.org/I180825142"],"apc_list":null,"apc_paid":null,"fwci":7.7502,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.97215721,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":"3-4","first_page":"210","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9991999864578247,"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":0.9991999864578247,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9882000088691711,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8217010498046875},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.7009238004684448},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6455804705619812},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6066861748695374},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5661628246307373},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5622992515563965},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5615623593330383},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5278910398483276},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.520932137966156},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.49321216344833374},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.48041820526123047},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4331706166267395},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.43285268545150757},{"id":"https://openalex.org/keywords/geovisualization","display_name":"Geovisualization","score":0.4303750693798065},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4225912094116211},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.35251757502555847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29147714376449585},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15743502974510193},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10191801190376282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8217010498046875},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.7009238004684448},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6455804705619812},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6066861748695374},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5661628246307373},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5622992515563965},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5615623593330383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5278910398483276},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.520932137966156},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.49321216344833374},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.48041820526123047},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4331706166267395},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.43285268545150757},{"id":"https://openalex.org/C12380541","wikidata":"https://www.wikidata.org/wiki/Q58300","display_name":"Geovisualization","level":4,"score":0.4303750693798065},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4225912094116211},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.35251757502555847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29147714376449585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15743502974510193},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10191801190376282},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1057/palgrave.ivs.9500185","is_oa":false,"landing_page_url":"https://doi.org/10.1057/palgrave.ivs.9500185","pdf_url":null,"source":{"id":"https://openalex.org/S55152591","display_name":"Information Visualization","issn_l":"1473-8716","issn":["1473-8716","1473-8724"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Visualization","raw_type":"journal-article"},{"id":"pmh:oai:openaccess.city.ac.uk:177","is_oa":false,"landing_page_url":"https://openaccess.city.ac.uk/view/creators_id/a=2Eslingsby.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306401940","display_name":"City Research Online (City University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I180825142","host_organization_name":"City, University of London","host_organization_lineage":["https://openalex.org/I180825142"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1330600","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/1330600/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information Visualization , 7 (3-4) pp. 210-224. (2008)","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W155077294","https://openalex.org/W1594453896","https://openalex.org/W1973749534","https://openalex.org/W2006728375","https://openalex.org/W2024053323","https://openalex.org/W2045513878","https://openalex.org/W2046252734","https://openalex.org/W2079257256","https://openalex.org/W2106588364","https://openalex.org/W2106731737","https://openalex.org/W2112880537","https://openalex.org/W2114566476","https://openalex.org/W2125227611","https://openalex.org/W2133499498","https://openalex.org/W2138199375","https://openalex.org/W2146622339","https://openalex.org/W2151530263","https://openalex.org/W2154969126","https://openalex.org/W2156608989","https://openalex.org/W2157437154","https://openalex.org/W2165501507","https://openalex.org/W2171671453","https://openalex.org/W2282743468","https://openalex.org/W2549412929","https://openalex.org/W2984140258","https://openalex.org/W4230696817","https://openalex.org/W4250305371"],"related_works":["https://openalex.org/W4212797408","https://openalex.org/W1988761558","https://openalex.org/W2135614518","https://openalex.org/W3010975807","https://openalex.org/W2027333138","https://openalex.org/W3185027765","https://openalex.org/W2096373083","https://openalex.org/W2151530263","https://openalex.org/W2104025928","https://openalex.org/W2105200106"],"abstract_inverted_index":{"We":[0,186],"demonstrate":[1],"and":[2,13,29,36,53,65,70,84,112,145,155,160,164,207,223,230,244,268],"reflect":[3],"upon":[4],"the":[5,73,94,120,134,143,174,190,195,221,247,263],"use":[6,261],"of":[7,33,39,67,96,100,109,123,130,140,142,150,176,198,226,262],"enhanced":[8],"treemaps":[9,271],"that":[10,48,157,210,255],"incorporate":[11],"spatial":[12,74,222],"temporal":[14,224],"ordering":[15,154,205],"for":[16,162,259,266,279],"exploring":[17],"a":[18,40,46,104,116],"large":[19,41],"multivariate":[20,42],"spatio-temporal":[21,177,283],"data":[22,43,125,144,178,264],"set.":[23,126],"The":[24,89,127],"resulting":[25],"data-dense":[26],"views":[27],"summarise":[28],"simultaneously":[30,137],"present":[31],"hundreds":[32,139,149],"space-,":[34],"time-,":[35],"variable-constrained":[37],"subsets":[38,66],"set":[44,265],"in":[45,93,103,119,173,189,216,282],"structure":[47],"facilitates":[49],"their":[50],"meaningful":[51],"comparison":[52],"supports":[54],"visual":[55],"analysis.":[56],"Interactive":[57],"techniques":[58,90],"allow":[59],"localised":[60],"patterns":[61],"to":[62,136,146,171,273],"be":[63],"explored":[64],"interest":[68],"selected":[69],"compared":[71],"with":[72,153,179],"aggregate.":[75],"Spatial":[76],"variation":[77],"is":[78],"considered":[79],"through":[80,115,202],"interactive":[81,277],"raster":[82],"maps":[83],"high-resolution":[85],"local":[86],"road":[87,237],"maps.":[88],"are":[91,133,158,169,211,239],"developed":[92],"context":[95],"42.2":[97],"million":[98],"records":[99],"vehicular":[101],"activity":[102],"98":[105],"km":[106],"2":[107],"area":[108],"central":[110,217],"London":[111],"informally":[113],"evaluated":[114],"design":[117],"used":[118],"exploratory":[121],"visualisation":[122],"this":[124,199],"main":[128],"advantages":[129],"our":[131,203],"technique":[132],"means":[135],"display":[138],"summaries":[141],"interactively":[147],"browse":[148],"variable":[151,280],"combinations":[152],"symbolism":[156],"consistent":[159],"appropriate":[161],"space-":[163],"time-based":[165],"variables.":[166],"These":[167],"capabilities":[168],"difficult":[170],"achieve":[172],"case":[175],"categorical":[180],"attributes":[181],"using":[182,246],"existing":[183],"geovisualisation":[184],"methods.":[185],"acknowledge":[187],"limitations":[188],"treemap":[191],"representation":[192],"but":[193],"enhance":[194],"cognitive":[196],"plausibility":[197],"popular":[200],"layout":[201],"two-dimensional":[204],"algorithm":[206],"interactions.":[208],"Patterns":[209],"expected":[212],"(e.g.":[213,220,232],"more":[214],"traffic":[215],"London),":[218],"interesting":[219],"distribution":[225],"particular":[227,236],"vehicle":[228],"types)":[229],"anomalous":[231],"low":[233],"speeds":[234],"on":[235],"sections)":[238],"detected":[240],"at":[241],"various":[242],"scales":[243],"locations":[245],"approach.":[248],"In":[249],"many":[250],"cases,":[251],"anomalies":[252],"identify":[253],"biases":[254],"may":[256],"have":[257,274],"implications":[258],"future":[260],"analyses":[267],"applications.":[269],"Ordered":[270],"appear":[272],"potential":[275],"as":[276],"interfaces":[278],"selection":[281],"visualisation.":[284]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
