{"id":"https://openalex.org/W2115331481","doi":"https://doi.org/10.1145/331624.331633","title":"A hierarchical error controlled octree data structure for large-scale visualization","display_name":"A hierarchical error controlled octree data structure for large-scale visualization","publication_year":2000,"publication_date":"2000-03-01","ids":{"openalex":"https://openalex.org/W2115331481","doi":"https://doi.org/10.1145/331624.331633","mag":"2115331481"},"language":"en","primary_location":{"id":"doi:10.1145/331624.331633","is_oa":true,"landing_page_url":"https://doi.org/10.1145/331624.331633","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/331624.331633","source":{"id":"https://openalex.org/S4210181451","display_name":"XRDS Crossroads The ACM Magazine for Students","issn_l":"1528-4972","issn":["1528-4972","1528-4980"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"XRDS: Crossroads, The ACM Magazine for Students","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/331624.331633","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083737701","display_name":"Dmitriy Pinskiy","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dmitriy V. Pinskiy","raw_affiliation_strings":[""],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111647528","display_name":"Joerg Meyer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joerg Meyer","raw_affiliation_strings":[""],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077191719","display_name":"Bernd Hamann","orcid":"https://orcid.org/0000-0002-3579-5005"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bernd Hamann","raw_affiliation_strings":[""],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114031893","display_name":"Kenneth I. Joy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenneth I. Joy","raw_affiliation_strings":[""],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009689804","display_name":"Eric Brugger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eric Brugger","raw_affiliation_strings":[""],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109345368","display_name":"Mark A. Duchaineau","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark Duchaineau","raw_affiliation_strings":[""],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083737701"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6006,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8576656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"3","first_page":"26","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9973000288009644,"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":0.9973000288009644,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/octree","display_name":"Octree","score":0.7108141779899597},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6760551929473877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6682549715042114},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.6469554901123047},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5458699464797974},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38948190212249756},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38838446140289307},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.33186620473861694},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23398947715759277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14188948273658752},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11674317717552185},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08339717984199524}],"concepts":[{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.7108141779899597},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6760551929473877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6682549715042114},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.6469554901123047},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5458699464797974},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38948190212249756},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38838446140289307},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33186620473861694},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23398947715759277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14188948273658752},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11674317717552185},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08339717984199524}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/331624.331633","is_oa":true,"landing_page_url":"https://doi.org/10.1145/331624.331633","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/331624.331633","source":{"id":"https://openalex.org/S4210181451","display_name":"XRDS Crossroads The ACM Magazine for Students","issn_l":"1528-4972","issn":["1528-4972","1528-4980"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"XRDS: Crossroads, The ACM Magazine for Students","raw_type":"journal-article"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt4m10b67z","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/4m10b67z","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:qt4m10b67z","is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/4m10b67z","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pinskiy, Dimitriy V.; Meyer, Joerg; Hamann, Bernd; Joy, Ken; Brugger, Eric S.; &amp; Duchaineau, Mark A.(2000). A Hierarchical Error-Controlled Octree Data Structure for Large-Scale Visualization. Crossroads -- The ACM Student Magazine. UC Davis: Institute for Data Analysis and Visualization. Retrieved from: http://www.escholarship.org/uc/item/4m10b67z","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1145/331624.331633","is_oa":true,"landing_page_url":"https://doi.org/10.1145/331624.331633","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/331624.331633","source":{"id":"https://openalex.org/S4210181451","display_name":"XRDS Crossroads The ACM Magazine for Students","issn_l":"1528-4972","issn":["1528-4972","1528-4980"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"XRDS: Crossroads, The ACM Magazine for Students","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2351138900","display_name":"Career: A Proposal Regarding the Unification of Data        Reduction and Multiresolution Methods for Use in Scientific Visualization and the Education in Scientific Visualization","funder_award_id":"9624034","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320332374","display_name":"Ames Research Center","ror":"https://ror.org/02acart68"},{"id":"https://openalex.org/F4320332564","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"},{"id":"https://openalex.org/F4320338286","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2115331481.pdf","grobid_xml":"https://content.openalex.org/works/W2115331481.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1990586638","https://openalex.org/W2009920752","https://openalex.org/W2011270184","https://openalex.org/W2028167283","https://openalex.org/W2062261913","https://openalex.org/W2062604740","https://openalex.org/W2075010828","https://openalex.org/W2097721983","https://openalex.org/W2123548779","https://openalex.org/W2163324644","https://openalex.org/W2170808341","https://openalex.org/W3041834803","https://openalex.org/W4302454485"],"related_works":["https://openalex.org/W2776826689","https://openalex.org/W2348653124","https://openalex.org/W2089908184","https://openalex.org/W2392270594","https://openalex.org/W2773541276","https://openalex.org/W2156453104","https://openalex.org/W1979313280","https://openalex.org/W2389430001","https://openalex.org/W2626146704","https://openalex.org/W2349758302"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2,15,23,107],"octree-based":[3],"approach":[4],"supporting":[5],"multiresolution":[6],"visualization":[7,96],"of":[8,27,33,38,42,94,114,128,143],"large":[9,123],"three-dimenstional":[10],"scientific":[11,148],"data":[12,18,25,52,80,130,149],"sets.":[13],"Given":[14],"irregular":[16],"gridded":[17],"set,":[19],"we":[20,134],"initially":[21],"impose":[22],"octree":[24,45,65,108,119],"structure":[26,46,81],"relatively":[28,35,122],"low":[29],"resolution,":[30],"i.e.,":[31,106],"consisting":[32],"a":[34,92,95,102,146],"small":[36],"number":[37],"cells.":[39],"The":[40,78],"construction":[41],"this":[43],"initial":[44],"is":[47,59,113],"controlled":[48],"by":[49,91],"the":[50,64,69,74,111,136],"original":[51],"resolution":[53,138],"and":[54],"cell-specific":[55],"error":[56,76,124],"value.":[57,77],"It":[58],"thus":[60],"possible":[61],"to":[62,66,139],"use":[63,135],"visualize":[67],"either":[68],"field":[70,112],"function":[71],"value":[72],"or":[73,117],"local":[75],"octreee":[79],"can":[82],"be":[83],"refined":[84],"further":[85],"in":[86,104,145],"areas":[87],"that":[88,133],"are":[89],"specified":[90],"user":[93,99],"system:":[97],"A":[98],"would":[100],"identify":[101],"region":[103],"space,":[105],"cell,":[109],"where":[110,118],"greater":[115],"interest":[116,144],"cells":[120],"carry":[121],"values.":[125],"This":[126],"usage":[127],"our":[129],"sturcture":[131],"ensures":[132],"highest":[137],"render":[140],"only":[141],"regions":[142],"large-scale":[147],"set.":[150]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
