{"id":"https://openalex.org/W2187671748","doi":"https://doi.org/10.1109/ldav.2015.7348073","title":"Scalable visualization of discrete velocity decompositions using spatially organized histograms","display_name":"Scalable visualization of discrete velocity decompositions using spatially organized histograms","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2187671748","doi":"https://doi.org/10.1109/ldav.2015.7348073","mag":"2187671748"},"language":"en","primary_location":{"id":"doi:10.1109/ldav.2015.7348073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ldav.2015.7348073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 5th Symposium on Large Data Analysis and Visualization (LDAV)","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/A5083143514","display_name":"Tyson Neuroth","orcid":"https://orcid.org/0000-0002-5866-5959"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tyson Neuroth","raw_affiliation_strings":["UC Davis"],"affiliations":[{"raw_affiliation_string":"UC Davis","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035642992","display_name":"Franz Sauer","orcid":"https://orcid.org/0000-0001-5907-0984"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Franz Sauer","raw_affiliation_strings":["UC Davis"],"affiliations":[{"raw_affiliation_string":"UC Davis","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739965","display_name":"Weixing Wang","orcid":"https://orcid.org/0000-0001-9415-1560"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weixing Wang","raw_affiliation_strings":["UC Davis"],"affiliations":[{"raw_affiliation_string":"UC Davis","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078217605","display_name":"S. Ethier","orcid":"https://orcid.org/0000-0002-2666-8733"},"institutions":[{"id":"https://openalex.org/I2799567181","display_name":"Princeton Plasma Physics Laboratory","ror":"https://ror.org/03vn1ts68","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I20089843","https://openalex.org/I2799567181","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephane Ethier","raw_affiliation_strings":["Princeton Plasma Physics Lab"],"affiliations":[{"raw_affiliation_string":"Princeton Plasma Physics Lab","institution_ids":["https://openalex.org/I2799567181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037161857","display_name":"Kwan\u2010Liu Ma","orcid":"https://orcid.org/0000-0001-8086-0366"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwan-Liu Ma","raw_affiliation_strings":["UC Davis"],"affiliations":[{"raw_affiliation_string":"UC Davis","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5083143514"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":1.1488,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79203591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3952","issue":null,"first_page":"65","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9908999800682068,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9908999800682068,"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"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9829999804496765,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7729964256286621},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7658700942993164},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7391933798789978},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.5899166464805603},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5002706050872803},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.493338018655777},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4846242368221283},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4207966923713684},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33245307207107544},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.26231855154037476},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12205520272254944},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.11593654751777649},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.08567079901695251}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7729964256286621},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7658700942993164},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7391933798789978},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.5899166464805603},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5002706050872803},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.493338018655777},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4846242368221283},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4207966923713684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33245307207107544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26231855154037476},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12205520272254944},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.11593654751777649},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.08567079901695251},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ldav.2015.7348073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ldav.2015.7348073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 5th Symposium on Large Data Analysis and Visualization (LDAV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320338379","display_name":"Princeton Plasma Physics Laboratory","ror":"https://ror.org/03vn1ts68"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1595717062","https://openalex.org/W1972490838","https://openalex.org/W1972800901","https://openalex.org/W1989935269","https://openalex.org/W1995224664","https://openalex.org/W1999616998","https://openalex.org/W2019276593","https://openalex.org/W2019433909","https://openalex.org/W2026446420","https://openalex.org/W2068710519","https://openalex.org/W2087429945","https://openalex.org/W2090088512","https://openalex.org/W2135737367","https://openalex.org/W2139421427","https://openalex.org/W2143646243","https://openalex.org/W2150936764","https://openalex.org/W2197138246","https://openalex.org/W2544460974","https://openalex.org/W6687570814"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W4367313141","https://openalex.org/W1981531423","https://openalex.org/W2004086023","https://openalex.org/W4394861761","https://openalex.org/W1977371217","https://openalex.org/W4301373648"],"abstract_inverted_index":{"Visualizing":[0],"the":[1,77,103],"velocity":[2,51,99,104],"decomposition":[3,105],"of":[4,7,39,49,106,109],"a":[5,32,43,67,107],"group":[6,108],"objects":[8],"has":[9,71],"applications":[10],"to":[11,31,83,101,117,135],"many":[12],"studied":[13],"data":[14,20],"types,":[15],"such":[16],"as":[17,128,130],"Lagrangian-based":[18],"flow":[19],"or":[21],"geospatial":[22],"movement":[23],"data.":[24],"Traditional":[25],"visualization":[26,78,87],"techniques":[27],"are":[28],"often":[29],"subject":[30],"trade-off":[33],"between":[34],"visual":[35],"clutter":[36],"and":[37],"loss":[38],"detail,":[40],"especially":[41],"in":[42,76,132,138],"large":[44],"scale":[45,140],"setting.":[46],"The":[47],"use":[48],"2D":[50],"histograms":[52,100],"can":[53],"alleviate":[54],"these":[55],"issues.":[56],"While":[57],"they":[58],"have":[59],"been":[60,72],"used":[61],"throughout":[62],"domain":[63],"specific":[64],"areas":[65],"on":[66,80],"basic":[68],"level,":[69],"there":[70],"very":[73],"little":[74],"work":[75],"community":[79],"leveraging":[81],"them":[82],"perform":[84],"more":[85],"advanced":[86],"tasks.":[88],"In":[89,111],"this":[90],"work,":[91],"we":[92,113],"develop":[93],"an":[94,124,131],"interactive":[95],"system":[96],"which":[97],"utilizes":[98],"visualize":[102],"objects.":[110],"addition,":[112],"extend":[114],"our":[115],"tool":[116],"utilize":[118],"two":[119],"schemes":[120],"for":[121],"histogram":[122],"generation:":[123],"on-the-fly":[125],"sampling":[126],"scheme":[127,134],"well":[129],"situ":[133],"maintain":[136],"interactivity":[137],"extreme":[139],"applications.":[141]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
