{"id":"https://openalex.org/W2038567317","doi":"https://doi.org/10.1109/geoinformatics.2014.6950834","title":"A web-based visual analytics system for air quality monitoring data","display_name":"A web-based visual analytics system for air quality monitoring data","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2038567317","doi":"https://doi.org/10.1109/geoinformatics.2014.6950834","mag":"2038567317"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2014.6950834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2014.6950834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd International Conference on Geoinformatics","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/A5039343813","display_name":"Zhifang Liao","orcid":"https://orcid.org/0000-0002-5525-904X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhifang Liao","raw_affiliation_strings":["School of Software, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074501894","display_name":"Yanni Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanni Peng","raw_affiliation_strings":["School of Software, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355315","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-8838-1714"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["School of Software, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044787990","display_name":"Xing Liang","orcid":"https://orcid.org/0000-0002-6630-298X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xing Liang","raw_affiliation_strings":["School of Computing Informatics & Decision Systems Engineering, Arizona State University, Phoenix, United States","School of Information Science & Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computing Informatics & Decision Systems Engineering, Arizona State University, Phoenix, United States","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Information Science & Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071560359","display_name":"Ying Zhao","orcid":"https://orcid.org/0000-0002-4200-5200"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhao","raw_affiliation_strings":["School of Information Science & Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science & Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039343813"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":1.7293,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.87565837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"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":0.9979000091552734,"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":0.9979000091552734,"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":0.9523000121116638,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9168999791145325,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.7732273936271667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7254980802536011},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.6929912567138672},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6621735692024231},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.6467413306236267},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.549453854560852},{"id":"https://openalex.org/keywords/parallel-coordinates","display_name":"Parallel coordinates","score":0.48765480518341064},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.47092217206954956},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4622957110404968},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43875256180763245},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.435519814491272},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.43364790081977844},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.4106106460094452},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4090273678302765},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.383562833070755},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37227049469947815},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.21733993291854858},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11588865518569946},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.102487713098526},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10019198060035706}],"concepts":[{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.7732273936271667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254980802536011},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.6929912567138672},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6621735692024231},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.6467413306236267},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.549453854560852},{"id":"https://openalex.org/C60011546","wikidata":"https://www.wikidata.org/wiki/Q932996","display_name":"Parallel coordinates","level":4,"score":0.48765480518341064},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.47092217206954956},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4622957110404968},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43875256180763245},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.435519814491272},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.43364790081977844},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.4106106460094452},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4090273678302765},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.383562833070755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37227049469947815},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.21733993291854858},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11588865518569946},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.102487713098526},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10019198060035706},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2014.6950834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2014.6950834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd International Conference on Geoinformatics","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":15,"referenced_works":["https://openalex.org/W1973998647","https://openalex.org/W1980160916","https://openalex.org/W1993837047","https://openalex.org/W2009858410","https://openalex.org/W2015313617","https://openalex.org/W2017494612","https://openalex.org/W2038772909","https://openalex.org/W2047364731","https://openalex.org/W2071124968","https://openalex.org/W2088231131","https://openalex.org/W2125100130","https://openalex.org/W2154859371","https://openalex.org/W2189235548","https://openalex.org/W3144824943","https://openalex.org/W3149702595"],"related_works":["https://openalex.org/W2138646726","https://openalex.org/W3127482518","https://openalex.org/W2116732611","https://openalex.org/W3001728174","https://openalex.org/W2153940791","https://openalex.org/W2519063155","https://openalex.org/W2061132865","https://openalex.org/W3081541487","https://openalex.org/W2186165905","https://openalex.org/W2951177137"],"abstract_inverted_index":{"With":[0],"the":[1,26,48,94,118,140,145],"increasingly":[2],"severe":[3],"air":[4,12,31,54,96,119,150],"pollution,":[5],"how":[6,130],"to":[7,138],"effectively":[8],"process":[9],"and":[10,28,34,44,50,79,108,127,143],"analyze":[11,144],"quality":[13,32,55,120],"data":[14,121],"has":[15],"become":[16],"a":[17,36,64,71,80],"hot":[18],"issue.":[19],"This":[20,58],"paper":[21,116],"introduces":[22],"visual":[23,38,62],"analytics":[24,39],"into":[25],"processing":[27],"analysis":[29,46,78],"of":[30,53,89,102,148],"data,":[33],"presents":[35],"web-based":[37],"system,":[40],"AirVIS,":[41],"for":[42,68,76,85],"collaborative":[43],"comprehensive":[45],"on":[47],"spatial-temporal":[49,141],"multi-dimensional":[51,86],"features":[52],"monitoring":[56],"datasets.":[57],"system":[59,132],"offers":[60],"three":[61],"views:":[63],"GIS":[65],"view":[66,74,83],"used":[67,75,84],"spatial":[69],"analysis,":[70,87],"scatter":[72],"plot":[73],"temporal":[77],"parallel":[81],"coordinate's":[82],"all":[88],"which":[90],"are":[91],"inner-tied":[92],"by":[93],"newest":[95],"environment":[97],"standard,":[98],"unified":[99],"color-mapping":[100],"strategies":[101],"Air":[103],"Quality":[104],"Index":[105],"(AQI)":[106],"levels":[107],"various":[109],"interactive":[110],"means.":[111],"In":[112],"case":[113],"studies,":[114],"our":[115,125],"takes":[117],"in":[122],"Beijing":[123],"as":[124],"examples":[126],"illustrates":[128],"that":[129],"this":[131],"provides":[133],"users":[134],"with":[135],"deepened":[136],"insight":[137],"discern":[139],"characteristics":[142],"internal":[146],"links":[147],"different":[149],"pollutants.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}