{"id":"https://openalex.org/W3090890973","doi":"https://doi.org/10.1109/tkde.2020.3026657","title":"AID*: A Spatial Index for Visual Exploration of Geo-Spatial Data","display_name":"AID*: A Spatial Index for Visual Exploration of Geo-Spatial Data","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3090890973","doi":"https://doi.org/10.1109/tkde.2020.3026657","mag":"3090890973"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.3026657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3026657","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5009540462","display_name":"Saheli Ghosh","orcid":"https://orcid.org/0000-0002-3594-1375"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saheli Ghosh","raw_affiliation_strings":["University of California, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091292625","display_name":"Ahmed Eldawy","orcid":"https://orcid.org/0000-0002-6584-1455"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Eldawy","raw_affiliation_strings":["University of California, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009540462"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":0.9092,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74470046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"34","issue":"8","first_page":"3569","last_page":"3582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9991000294685364,"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":0.9991000294685364,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9918000102043152,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9914000034332275,"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":0.8704254031181335},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.7350000143051147},{"id":"https://openalex.org/keywords/spatial-database","display_name":"Spatial database","score":0.5711799263954163},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5390841364860535},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.53504478931427},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5188266634941101},{"id":"https://openalex.org/keywords/interactivity","display_name":"Interactivity","score":0.508878231048584},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.48536694049835205},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.46919864416122437},{"id":"https://openalex.org/keywords/database-index","display_name":"Database index","score":0.4110485315322876},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.29805344343185425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29382461309432983},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12743210792541504},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.08642032742500305},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08272737264633179}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8704254031181335},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.7350000143051147},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.5711799263954163},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5390841364860535},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.53504478931427},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5188266634941101},{"id":"https://openalex.org/C144430266","wikidata":"https://www.wikidata.org/wiki/Q839721","display_name":"Interactivity","level":2,"score":0.508878231048584},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.48536694049835205},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.46919864416122437},{"id":"https://openalex.org/C59276292","wikidata":"https://www.wikidata.org/wiki/Q580427","display_name":"Database index","level":3,"score":0.4110485315322876},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.29805344343185425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29382461309432983},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12743210792541504},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.08642032742500305},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08272737264633179},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"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/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2020.3026657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3026657","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4944651385","display_name":null,"funder_award_id":"IIS-1838222","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G7493871249","display_name":null,"funder_award_id":"CNS-1924694","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G8790578259","display_name":null,"funder_award_id":"IIS-1954644","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320332299","display_name":"National Institute of Food and Agriculture","ror":"https://ror.org/05qx3fv49"},{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1535532259","https://openalex.org/W2002544066","https://openalex.org/W2050576295","https://openalex.org/W2064784803","https://openalex.org/W2081315591","https://openalex.org/W2117131162","https://openalex.org/W2134109073","https://openalex.org/W2161768947","https://openalex.org/W2204875540","https://openalex.org/W2429397718","https://openalex.org/W2429954913","https://openalex.org/W2564464327","https://openalex.org/W2614354041","https://openalex.org/W2815536421","https://openalex.org/W2949571021","https://openalex.org/W2952186829","https://openalex.org/W2996933311","https://openalex.org/W3013624159","https://openalex.org/W6629350784"],"related_works":["https://openalex.org/W2043890830","https://openalex.org/W2917146715","https://openalex.org/W3183776484","https://openalex.org/W2085645038","https://openalex.org/W98693435","https://openalex.org/W2352685049","https://openalex.org/W2907216425","https://openalex.org/W3202298617","https://openalex.org/W2359030269","https://openalex.org/W2756893732"],"abstract_inverted_index":{"Visual":[0],"exploration":[1,32,50,75,136],"has":[2],"become":[3],"an":[4,77,121,200],"integral":[5],"part":[6],"of":[7,19,33,47,53,55,76,81,166,184,194,202],"big":[8,56,82],"spatial":[9,20,83],"data":[10,185],"management.":[11],"With":[12],"the":[13,31,37,73,97,133,167,192,195,206,210],"increase":[14],"in":[15,142],"volume":[16],"and":[17,99,128,148,186],"number":[18,80],"datasets,":[21],"several":[22],"specialized":[23],"mechanisms":[24],"have":[25,40],"been":[26],"proposed":[27,196],"to":[28,119,151,160,173],"speed":[29],"up":[30],"these":[34],"datasets.":[35,177],"However,":[36],"existing":[38],"techniques":[39],"major":[41],"limitations":[42],"which":[43],"make":[44],"them":[45,101],"incapable":[46],"providing":[48],"visual":[49,74],"for":[51],"hundreds":[52],"thousands":[54],"datasets":[57,84],"on":[58,85,96,110,180],"a":[59,65,86,124,155,170],"single":[60,87],"machine.":[61,88],"This":[62],"paper":[63],"introduces":[64],"new":[66],"index":[67,91,122,126,139,168,197],"structure,":[68],"termed":[69],"AID*,":[70],"that":[71,191],"facilitates":[72],"arbitrarily":[78,175],"large":[79],"The":[89,138,163],"AID*":[90],"defines":[92],"multi-resolution":[93],"fixed-size":[94],"tiles":[95],"input":[98],"classifies":[100],"as":[102],"image,":[103],"data,":[104],"shallow,":[105],"or":[106,146],"empty":[107],"tiles,":[108],"based":[109],"their":[111],"processing":[112],"cost.":[113],"Then,":[114],"it":[115],"uses":[116],"this":[117],"classification":[118],"build":[120],"with":[123],"minimal":[125],"size":[127,165],"construction":[129,193],"time,":[130],"while":[131],"supporting":[132],"desired":[134],"real-time":[135],"interface.":[137],"is":[140,149,198],"constructed":[141],"parallel,":[143],"using":[144],"Hadoop":[145],"Spark,":[147],"accessible":[150],"end":[152],"users":[153],"through":[154],"standard":[156],"web":[157],"interface":[158],"similar":[159],"Google":[161],"Maps.":[162],"small":[164],"allows":[169],"single-machine":[171],"server":[172],"host":[174],"many":[176],"Our":[178],"experiments,":[179],"up-to":[181,199],"1":[182],"TB":[183],"27":[187],"billion":[188],"records,":[189],"show":[190],"order":[201],"magnitude":[203],"faster":[204],"than":[205],"baselines":[207],"without":[208],"compromising":[209],"end-user":[211],"interactivity.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}