{"id":"https://openalex.org/W2782805905","doi":"https://doi.org/10.1109/bigdata.2017.8257966","title":"Visual analytics with unparalleled variety scaling for big earth data","display_name":"Visual analytics with unparalleled variety scaling for big earth data","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2782805905","doi":"https://doi.org/10.1109/bigdata.2017.8257966","mag":"2782805905"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8257966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8257966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","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/A5101889091","display_name":"Lina Yu","orcid":"https://orcid.org/0000-0002-2843-5140"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lina Yu","raw_affiliation_strings":["University of Nebraska-Lincoln, Lincoln, NE, USA"],"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln, Lincoln, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046476658","display_name":"M. L. Rilee","orcid":"https://orcid.org/0000-0002-5478-7190"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael L. Rilee","raw_affiliation_strings":["NASA GSFC, Greenbelt, MD, USA","Rilee Systems Technologies, Derwood, MD, USA"],"affiliations":[{"raw_affiliation_string":"NASA GSFC, Greenbelt, MD, USA","institution_ids":[]},{"raw_affiliation_string":"Rilee Systems Technologies, Derwood, MD, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689288","display_name":"Yu Pan","orcid":"https://orcid.org/0000-0002-5581-8657"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Pan","raw_affiliation_strings":["University of Nebraska-Lincoln, Lincoln, NE, USA"],"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln, Lincoln, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005251827","display_name":"Feiyu Zhu","orcid":"https://orcid.org/0000-0001-6863-7137"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feiyu Zhu","raw_affiliation_strings":["University of Nebraska-Lincoln, Lincoln, NE, USA"],"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln, Lincoln, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024434501","display_name":"Kwo\u2010Sen Kuo","orcid":"https://orcid.org/0000-0001-7644-4140"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwo-Sen Kuo","raw_affiliation_strings":["Bayesics, LLC, Bowie, MD, USA","NASA GSFC, Greenbelt, MD, USA","University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"Bayesics, LLC, Bowie, MD, USA","institution_ids":[]},{"raw_affiliation_string":"NASA GSFC, Greenbelt, MD, USA","institution_ids":[]},{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020745360","display_name":"Hongfeng Yu","orcid":"https://orcid.org/0000-0002-0596-8227"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongfeng Yu","raw_affiliation_strings":["University of Nebraska-Lincoln, Lincoln, NE, USA"],"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln, Lincoln, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101889091"],"corresponding_institution_ids":["https://openalex.org/I114395901"],"apc_list":null,"apc_paid":null,"fwci":2.5294,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.92741207,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"514","last_page":"521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9929999709129333,"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/T11106","display_name":"Data Management and Algorithms","score":0.9869999885559082,"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":0.8003532886505127},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.725031316280365},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6983613967895508},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6956044435501099},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6578383445739746},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6483739614486694},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5272834897041321},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.5169110298156738},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.504496693611145},{"id":"https://openalex.org/keywords/data-management","display_name":"Data management","score":0.4912554621696472},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4747467637062073},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.4649793803691864},{"id":"https://openalex.org/keywords/earth-system-science","display_name":"Earth system science","score":0.4315348267555237},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4241361618041992},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3481205701828003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1832108497619629}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003532886505127},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.725031316280365},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6983613967895508},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6956044435501099},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6578383445739746},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6483739614486694},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5272834897041321},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.5169110298156738},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.504496693611145},{"id":"https://openalex.org/C1668388","wikidata":"https://www.wikidata.org/wiki/Q1149776","display_name":"Data management","level":2,"score":0.4912554621696472},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4747467637062073},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.4649793803691864},{"id":"https://openalex.org/C80368990","wikidata":"https://www.wikidata.org/wiki/Q3046459","display_name":"Earth system science","level":2,"score":0.4315348267555237},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4241361618041992},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3481205701828003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1832108497619629},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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":1,"locations":[{"id":"doi:10.1109/bigdata.2017.8257966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8257966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5699999928474426,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311508","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1598064945","https://openalex.org/W1673768625","https://openalex.org/W2010398575","https://openalex.org/W2065577108","https://openalex.org/W2087946700","https://openalex.org/W2169251528","https://openalex.org/W2172877736","https://openalex.org/W2173213060","https://openalex.org/W2189465200","https://openalex.org/W2565913955","https://openalex.org/W2585128637","https://openalex.org/W2585491945","https://openalex.org/W2730855942","https://openalex.org/W2995564009","https://openalex.org/W6687322159"],"related_works":["https://openalex.org/W2153940791","https://openalex.org/W3037164970","https://openalex.org/W3127482518","https://openalex.org/W2138646726","https://openalex.org/W3037487054","https://openalex.org/W2186165905","https://openalex.org/W3081541487","https://openalex.org/W3081898781","https://openalex.org/W3151677261","https://openalex.org/W2094554679"],"abstract_inverted_index":{"We":[0,123,161],"have":[1],"devised":[2],"and":[3,81,121,149],"implemented":[4],"a":[5,38,61,78,109,125,166],"key":[6],"technology,":[7],"SpatioTemporal":[8],"Adaptive-Resolution":[9],"Encoding":[10],"(STARE),":[11],"in":[12,154],"an":[13],"array":[14],"database":[15],"management":[16,138],"system,":[17],"i.e.":[18,69],"SciDB,":[19],"to":[20,59,94,115,131,171],"achieve":[21],"unparalleled":[22],"variety":[23],"scaling":[24],"for":[25,84],"Big":[26],"Earth":[27,46,65],"Data,":[28],"enabling":[29],"rapid-response":[30,102],"visual":[31,103],"analytics.":[32],"STARE":[33],"not":[34],"only":[35],"serves":[36],"as":[37],"unifying":[39],"data":[40,53,67,79,86,117,137],"representation":[41],"homogenizing":[42],"diverse":[43],"varieties":[44],"of":[45,56,64,89,97,134],"Science":[47,66],"Datasets,":[48],"but":[49],"also":[50],"supports":[51],"spatiotemporal":[52,72],"placement":[54],"alignment":[55],"these":[57,129,163],"datasets":[58],"optimize":[60],"major":[62],"class":[63],"analyses,":[68],"those":[70],"requiring":[71],"coincidence.":[73],"Using":[74],"STARE,":[75,101],"we":[76],"tailor":[77],"partitioning":[80],"distribution":[82],"strategy":[83],"the":[85],"access":[87],"patterns":[88],"our":[90],"scientific":[91,147,155],"analysis,":[92],"leading":[93],"optimal":[95],"use":[96],"distributed":[98],"resources.":[99],"With":[100],"analytics":[104],"are":[105],"made":[106],"possible":[107],"through":[108],"high-level":[110],"query":[111],"interface,":[112],"allowing":[113],"geoscientists":[114,133],"perform":[116],"exploration":[118],"visually,":[119],"intuitively":[120],"interactively.":[122],"envision":[124],"system":[126,168],"based":[127],"on":[128,146],"innovations":[130],"relieve":[132],"most":[135],"laborious":[136],"chores":[139],"so":[140],"that":[141],"they":[142],"may":[143,157],"focus":[144],"better":[145],"issues":[148],"investigations.":[150],"A":[151],"significant":[152],"boost":[153],"productivity":[156],"thus":[158],"be":[159],"expected.":[160],"demonstrate":[162],"advantages":[164],"with":[165],"prototypical":[167],"including":[169],"comparisons":[170],"alternatives.":[172]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}