{"id":"https://openalex.org/W2969516123","doi":"https://doi.org/10.1109/tvcg.2019.2934807","title":"A Comparison of Visualizations for Identifying Correlation over Space and Time","display_name":"A Comparison of Visualizations for Identifying Correlation over Space and Time","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2969516123","doi":"https://doi.org/10.1109/tvcg.2019.2934807","mag":"2969516123","pmid":"https://pubmed.ncbi.nlm.nih.gov/31443027"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2019.2934807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2019.2934807","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1907.06399","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047572210","display_name":"Vanessa Pe\u00f1a-Araya","orcid":"https://orcid.org/0000-0003-0503-3509"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210144804","display_name":"Laboratoire de Recherche en Informatique","ror":"https://ror.org/04e3ktk27","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210144804","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vanessa Pena-Araya","raw_affiliation_strings":["Univ. Paris-Sud, CNRS, INRIA, Universit\u00e9 Paris-Saclay","Universit\u00e9 Paris-Saclay","Laboratoire de Recherche en Informatique","Interacting with Large Data"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Paris-Sud, CNRS, INRIA, Universit\u00e9 Paris-Saclay","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I277688954"]},{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay","institution_ids":["https://openalex.org/I277688954"]},{"raw_affiliation_string":"Laboratoire de Recherche en Informatique","institution_ids":["https://openalex.org/I4210144804"]},{"raw_affiliation_string":"Interacting with Large Data","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054725183","display_name":"Emmanuel Pietriga","orcid":"https://orcid.org/0000-0002-9762-0462"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210144804","display_name":"Laboratoire de Recherche en Informatique","ror":"https://ror.org/04e3ktk27","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210144804","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Emmanuel Pietriga","raw_affiliation_strings":["Univ. Paris-Sud, CNRS, INRIA, Universit\u00e9 Paris-Saclay","Universit\u00e9 Paris-Saclay","Interacting with Large Data","Laboratoire de Recherche en Informatique"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Paris-Sud, CNRS, INRIA, Universit\u00e9 Paris-Saclay","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I277688954"]},{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay","institution_ids":["https://openalex.org/I277688954"]},{"raw_affiliation_string":"Interacting with Large Data","institution_ids":[]},{"raw_affiliation_string":"Laboratoire de Recherche en Informatique","institution_ids":["https://openalex.org/I4210144804"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089688638","display_name":"Anastasia Bezerianos","orcid":"https://orcid.org/0000-0002-7142-2548"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210144804","display_name":"Laboratoire de Recherche en Informatique","ror":"https://ror.org/04e3ktk27","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210144804","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anastasia Bezerianos","raw_affiliation_strings":["Univ. Paris-Sud, CNRS, INRIA, Universit\u00e9 Paris-Saclay","Interacting with Large Data","Universit\u00e9 Paris-Saclay","Laboratoire de Recherche en Informatique"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Paris-Sud, CNRS, INRIA, Universit\u00e9 Paris-Saclay","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I277688954"]},{"raw_affiliation_string":"Interacting with Large Data","institution_ids":[]},{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay","institution_ids":["https://openalex.org/I277688954"]},{"raw_affiliation_string":"Laboratoire de Recherche en Informatique","institution_ids":["https://openalex.org/I4210144804"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7067,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.85458883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"26","issue":"1","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9987000226974487,"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":0.9987000226974487,"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/T13398","display_name":"Data Analysis with R","score":0.9456999897956848,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7624413371086121},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7376610040664673},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6074541807174683},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.543792724609375},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4905702471733093},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.48447680473327637},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47829848527908325},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4365992844104767},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.42418137192726135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39206722378730774},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.273296058177948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.147178053855896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7624413371086121},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7376610040664673},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6074541807174683},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.543792724609375},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4905702471733093},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.48447680473327637},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47829848527908325},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4365992844104767},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.42418137192726135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39206722378730774},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.273296058177948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.147178053855896},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tvcg.2019.2934807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2019.2934807","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:31443027","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31443027","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null},{"id":"pmh:oai:arXiv.org:1907.06399","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.06399","pdf_url":"https://arxiv.org/pdf/1907.06399","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-02320617v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02320617","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics, 2019, 26, pp.375 - 385. &#x27E8;10.1109/TVCG.2019.2934807&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1907.06399","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.06399","pdf_url":"https://arxiv.org/pdf/1907.06399","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W600222022","https://openalex.org/W1507189098","https://openalex.org/W1509461608","https://openalex.org/W1519327417","https://openalex.org/W1580647983","https://openalex.org/W1629017939","https://openalex.org/W1652773952","https://openalex.org/W1896226795","https://openalex.org/W1922630791","https://openalex.org/W1949897911","https://openalex.org/W1966171704","https://openalex.org/W1982397956","https://openalex.org/W1983075605","https://openalex.org/W1988872213","https://openalex.org/W2003148032","https://openalex.org/W2004758647","https://openalex.org/W2005534705","https://openalex.org/W2005559956","https://openalex.org/W2008564751","https://openalex.org/W2014964183","https://openalex.org/W2019433909","https://openalex.org/W2035126508","https://openalex.org/W2043523210","https://openalex.org/W2051826466","https://openalex.org/W2058460720","https://openalex.org/W2062711920","https://openalex.org/W2068743951","https://openalex.org/W2074618668","https://openalex.org/W2085930728","https://openalex.org/W2100558433","https://openalex.org/W2101234009","https://openalex.org/W2101585249","https://openalex.org/W2108075477","https://openalex.org/W2108230739","https://openalex.org/W2112179747","https://openalex.org/W2120098605","https://openalex.org/W2123551394","https://openalex.org/W2125514447","https://openalex.org/W2127875809","https://openalex.org/W2135415614","https://openalex.org/W2151560815","https://openalex.org/W2152528170","https://openalex.org/W2155467631","https://openalex.org/W2156622994","https://openalex.org/W2158307450","https://openalex.org/W2161240651","https://openalex.org/W2166279335","https://openalex.org/W2217572481","https://openalex.org/W2269956821","https://openalex.org/W2329091283","https://openalex.org/W2341937654","https://openalex.org/W2398936633","https://openalex.org/W2408736664","https://openalex.org/W2416272719","https://openalex.org/W2514496145","https://openalex.org/W2546157540","https://openalex.org/W2586788875","https://openalex.org/W2610797810","https://openalex.org/W2643097815","https://openalex.org/W2767013869","https://openalex.org/W2772496691","https://openalex.org/W2789668024","https://openalex.org/W2792537703","https://openalex.org/W2794115524","https://openalex.org/W2884692887","https://openalex.org/W2899191488","https://openalex.org/W2904619680","https://openalex.org/W2904637151","https://openalex.org/W2910938896","https://openalex.org/W2919847605","https://openalex.org/W4231311245","https://openalex.org/W4232720708","https://openalex.org/W4240131725","https://openalex.org/W4254690344","https://openalex.org/W6675354045","https://openalex.org/W6704181020","https://openalex.org/W6755307460","https://openalex.org/W6757829840","https://openalex.org/W6926199535"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1965329638","https://openalex.org/W1574055964","https://openalex.org/W2923661510","https://openalex.org/W2189613078","https://openalex.org/W2586219255","https://openalex.org/W2547096368"],"abstract_inverted_index":{"Observing":[0],"the":[1,24,28,34,168,238],"relationship":[2],"between":[3,100],"two":[4,83,101,184],"or":[5,81,141,163],"more":[6],"variables":[7,84,102,185],"over":[8,77,105,188],"space":[9,78,106,218],"and":[10,33,61,79,107,150,190,217],"time":[11,108,139,144,189,206,208],"is":[12,53],"essential":[13],"in":[14,89,196,201,222],"many":[15],"domains.":[16],"For":[17],"instance,":[18],"looking,":[19],"for":[20,49,70,82,136,146,203,259],"different":[21,125],"countries,":[22],"at":[23,31,85,97],"evolution":[25],"of":[26,41,46,124,160,167,176,212,252],"both":[27,204],"life":[29],"expectancy":[30],"birth":[32],"fertility":[35],"rate":[36],"will":[37],"give":[38],"an":[39],"overview":[40],"their":[42,197],"demographics.":[43],"The":[44],"choice":[45],"visual":[47,165],"representation":[48],"such":[50],"multivariate":[51,130],"data":[52],"key":[54],"to":[55,58,110,127,181,240],"enabling":[56],"analysts":[57],"extract":[59],"patterns":[60],"trends.":[62],"Prior":[63],"work":[64],"has":[65],"compared":[66],"geo-temporal":[67,129,256],"visualization":[68,94,257],"techniques":[69,95,120,258],"a":[71,86,116,137,147,174,194,210,223,232,250],"single":[72],"thematic":[73,152],"variable":[74],"that":[75,103,121,178,231],"evolves":[76],"time,":[80],"specific":[87],"point":[88],"time.":[90],"But":[91],"how":[92],"effective":[93],"are":[96,122],"communicating":[98,260],"correlation":[99],"evolve":[104],"remains":[109],"be":[111,241],"investigated.":[112],"We":[113],"report":[114],"on":[115,158,237,245],"study":[117],"comparing":[118],"three":[119],"representative":[123],"strategies":[126],"visualize":[128],"data:":[131],"either":[132,154],"juxtaposing":[133,142],"all":[134,143],"locations":[135,221],"given":[138,148],"step,":[140],"steps":[145],"location;":[149],"encoding":[151],"attributes":[153],"using":[155,164],"symbols":[156],"overlaid":[157],"top":[159],"map":[161,169],"features,":[162],"channels":[166],"features":[170],"themselves.":[171],"Participants":[172],"performed":[173],"series":[175],"tasks":[177],"required":[179],"them":[180],"identify":[182],"if":[183,191],"were":[186],"correlated":[187],"there":[192],"was":[193],"pattern":[195],"evolution.":[198],"Tasks":[199],"varied":[200],"granularity":[202],"dimensions:":[205],"(all":[207,219],"steps,":[209,213],"subrange":[211],"one":[214,225],"step":[215],"only)":[216],"locations,":[220],"subregion,":[224],"location":[226],"only).":[227],"Our":[228],"results":[229],"show":[230],"visualization's":[233],"effectiveness":[234],"depends":[235],"strongly":[236],"task":[239],"carried":[242],"out.":[243],"Based":[244],"these":[246],"findings":[247],"we":[248],"present":[249],"set":[251],"design":[253],"guidelines":[254],"about":[255],"correlation.":[261]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}
