{"id":"https://openalex.org/W2942535525","doi":"https://doi.org/10.1145/3297280.3297556","title":"Similarity-based visual exploration of very large georeferenced multidimensional datasets","display_name":"Similarity-based visual exploration of very large georeferenced multidimensional datasets","publication_year":2019,"publication_date":"2019-04-08","ids":{"openalex":"https://openalex.org/W2942535525","doi":"https://doi.org/10.1145/3297280.3297556","mag":"2942535525"},"language":"en","primary_location":{"id":"doi:10.1145/3297280.3297556","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5080494519","display_name":"Roger Peralta-Aranibar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134504","display_name":"Universidad Cat\u00f3lica San Pablo","ror":"https://ror.org/03db1hz44","country_code":"PE","type":"education","lineage":["https://openalex.org/I4210134504"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Roger Peralta-Aranibar","raw_affiliation_strings":["Universidad Cat\u00f3lica San Pablo, Arequipa, Peru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Cat\u00f3lica San Pablo, Arequipa, Peru","institution_ids":["https://openalex.org/I4210134504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064384210","display_name":"C\u00edcero A. L. Pahins","orcid":"https://orcid.org/0000-0002-5503-8722"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cicero A. L. Pahins","raw_affiliation_strings":["UFRGS, Porto Alegre, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UFRGS, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029235009","display_name":"Jo\u00e3o L. D. Comba","orcid":"https://orcid.org/0000-0003-2921-2130"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Joao L. D. Comba","raw_affiliation_strings":["UFRGS, Porto Alegre, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UFRGS, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078569591","display_name":"Erick Gomez-Nieto","orcid":"https://orcid.org/0000-0001-7481-1656"},"institutions":[{"id":"https://openalex.org/I4210134504","display_name":"Universidad Cat\u00f3lica San Pablo","ror":"https://ror.org/03db1hz44","country_code":"PE","type":"education","lineage":["https://openalex.org/I4210134504"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Erick Gomez-Nieto","raw_affiliation_strings":["Universidad Cat\u00f3lica San Pablo, Arequipa, Peru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Cat\u00f3lica San Pablo, Arequipa, Peru","institution_ids":["https://openalex.org/I4210134504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"683","last_page":"686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9987999796867371,"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/T11106","display_name":"Data Management and Algorithms","score":0.9987999796867371,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7788504362106323},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6615968942642212},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6609938740730286},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6313290596008301},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5720633268356323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5390232801437378},{"id":"https://openalex.org/keywords/georeference","display_name":"Georeference","score":0.5358458757400513},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.531159520149231},{"id":"https://openalex.org/keywords/data-exploration","display_name":"Data exploration","score":0.5115750432014465},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4906855821609497},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.48984333872795105},{"id":"https://openalex.org/keywords/multidimensional-data","display_name":"Multidimensional data","score":0.47895103693008423},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.478086918592453},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44225820899009705},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.41574713587760925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22982847690582275},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16631567478179932},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15382280945777893}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7788504362106323},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6615968942642212},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6609938740730286},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6313290596008301},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5720633268356323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5390232801437378},{"id":"https://openalex.org/C75145180","wikidata":"https://www.wikidata.org/wiki/Q772007","display_name":"Georeference","level":2,"score":0.5358458757400513},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.531159520149231},{"id":"https://openalex.org/C2780977526","wikidata":"https://www.wikidata.org/wiki/Q42417149","display_name":"Data exploration","level":3,"score":0.5115750432014465},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4906855821609497},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.48984333872795105},{"id":"https://openalex.org/C3019022308","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional data","level":2,"score":0.47895103693008423},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.478086918592453},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44225820899009705},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.41574713587760925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22982847690582275},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16631567478179932},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15382280945777893},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3297280.3297556","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1863852241","display_name":null,"funder_award_id":"234-2015-FONDECYT (Master Program)","funder_id":"https://openalex.org/F4320326614","funder_display_name":"Consejo Nacional de Ciencia, Tecnolog\u00eda e Innovaci\u00f3n Tecnol\u00f3gica"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320326614","display_name":"Consejo Nacional de Ciencia, Tecnolog\u00eda e Innovaci\u00f3n Tecnol\u00f3gica","ror":"https://ror.org/05c7j7r25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2072605585","https://openalex.org/W2110953678","https://openalex.org/W2513314912","https://openalex.org/W2588134428","https://openalex.org/W4236979447"],"related_works":["https://openalex.org/W2782749841","https://openalex.org/W1997741691","https://openalex.org/W2801736511","https://openalex.org/W4387885925","https://openalex.org/W2032070854","https://openalex.org/W1968490601","https://openalex.org/W2580067220","https://openalex.org/W2070275453","https://openalex.org/W4386976100","https://openalex.org/W1971318070"],"abstract_inverted_index":{"Big":[0],"data":[1,8,63,93],"visualization":[2],"is":[3],"a":[4,87],"main":[5],"task":[6],"for":[7,28,45],"analysis.":[9],"Due":[10],"to":[11,25,75],"its":[12],"complexity":[13],"in":[14,32],"terms":[15],"of":[16,48,53,72,89,94],"volume":[17],"and":[18,56,97],"variety,":[19],"very":[20],"large":[21],"datasets":[22],"are":[23],"unable":[24],"be":[26],"queried":[27],"similarities":[29,81],"among":[30],"entries":[31],"traditional":[33],"Database":[34],"Management":[35],"Systems.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40,85,98],"propose":[41],"an":[42],"effective":[43],"approach":[44,69],"indexing":[46],"millions":[47],"elements":[49],"with":[50,65],"the":[51,100,104],"purpose":[52],"performing":[54],"single":[55],"multiple":[57],"visual":[58],"similarity":[59],"queries":[60],"on":[61],"multidimensional":[62],"associated":[64],"geographical":[66],"locations.":[67],"Our":[68],"makes":[70],"use":[71],"Z-Curve":[73],"algorithm":[74],"map":[76],"into":[77],"1D":[78],"space":[79],"considering":[80],"between":[82],"data.":[83],"Additionally,":[84],"present":[86],"set":[88],"results":[90],"using":[91],"real":[92],"different":[95],"sources":[96],"analyze":[99],"insights":[101],"obtained":[102],"from":[103],"interactive":[105],"exploration.":[106]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}