{"id":"https://openalex.org/W4309651998","doi":"https://doi.org/10.1145/3557915.3561038","title":"Spatial parquet","display_name":"Spatial parquet","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4309651998","doi":"https://doi.org/10.1145/3557915.3561038"},"language":"en","primary_location":{"id":"doi:10.1145/3557915.3561038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3557915.3561038","pdf_url":null,"source":{"id":"https://openalex.org/S4363608995","display_name":"Proceedings of the 30th International Conference on Advances in Geographic Information Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th International Conference on Advances in Geographic Information Systems","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/A5037502508","display_name":"Majid Saeedan","orcid":"https://orcid.org/0000-0002-9202-6894"},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Majid Saeedan","raw_affiliation_strings":["University of California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California","institution_ids":["https://openalex.org/I2803209242"]}]},{"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/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Eldawy","raw_affiliation_strings":["University of California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California","institution_ids":["https://openalex.org/I2803209242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2803209242"],"apc_list":null,"apc_paid":null,"fwci":1.2847,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78644537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9939000010490417,"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/geospatial-analysis","display_name":"Geospatial analysis","score":0.9300896525382996},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.6977146863937378},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6176353693008423},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5742313265800476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5556930899620056},{"id":"https://openalex.org/keywords/spatial-database","display_name":"Spatial database","score":0.5205751061439514},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4775717556476593},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.45912966132164},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4502602517604828},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.31575700640678406},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2654350996017456},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.16439390182495117},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10225683450698853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08122134208679199}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.9300896525382996},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.6977146863937378},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6176353693008423},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5742313265800476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5556930899620056},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.5205751061439514},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4775717556476593},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.45912966132164},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4502602517604828},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.31575700640678406},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2654350996017456},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.16439390182495117},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10225683450698853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08122134208679199},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3557915.3561038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3557915.3561038","pdf_url":null,"source":{"id":"https://openalex.org/S4363608995","display_name":"Proceedings of the 30th International Conference on Advances in Geographic Information Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2862597790","display_name":null,"funder_award_id":"IIS-2046236; IIS-1954644","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2295448598","https://openalex.org/W2791275773","https://openalex.org/W2955799495","https://openalex.org/W3007103978","https://openalex.org/W3098592065","https://openalex.org/W4237212714","https://openalex.org/W4294962921","https://openalex.org/W6947996512"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2057878850","https://openalex.org/W2169871401","https://openalex.org/W3008492011"],"abstract_inverted_index":{"Modern":[0],"data":[1,28,42,76,97,163,171,219],"analytics":[2],"applications":[3],"prefer":[4],"to":[5,10,88,128,148,215],"use":[6],"column-storage":[7],"formats":[8],"due":[9],"their":[11],"improved":[12],"storage":[13,29,186,220],"efficiency":[14],"through":[15],"encoding":[16,121],"and":[17,79,119],"compression.":[18,180],"Parquet":[19,55,63,69,167,190],"is":[20,43,126,205],"the":[21,38,66,146,153,170,185,193,202],"most":[22],"popular":[23],"file":[24,154],"format":[25,109],"for":[26,70,155],"column":[27,108,222],"that":[30,57,99,125,144,165],"provides":[31],"several":[32],"of":[33,37,68,152,176,199],"these":[34],"benefits":[35],"out":[36],"box.":[39],"However,":[40],"geospatial":[41,60,90,96,131,218],"not":[44],"readily":[45],"supported":[46],"by":[47,173,196],"Parquet.":[48,112],"This":[49,207],"paper":[50],"introduces":[51,94],"Spatial":[52,62,166,189],"Parquet,":[53],"a":[54,95,107,116,140,174],"extension":[56],"efficiently":[58,129],"supports":[59],"data.":[61,91],"inherits":[64],"all":[65,102],"advantages":[67],"non-spatial":[71],"data,":[72],"such":[73],"as":[74],"rich":[75],"types,":[77],"compression,":[78],"column/row":[80],"filtering.":[81],"Additionally,":[82,188],"it":[83,93,114,138],"adds":[84,115,139],"three":[85,177],"new":[86,117,212],"features":[87],"accommodate":[89],"First,":[92],"type":[98],"can":[100,168,182,191,210],"encode":[101],"standard":[103],"spatial":[104,142],"geometries":[105],"in":[106,134,221],"compatible":[110],"with":[111],"Second,":[113],"lossless":[118],"efficient":[120],"method,":[122],"termed":[123],"FP-delta,":[124],"customized":[127],"store":[130],"coordinates":[132],"stored":[133],"floating-point":[135],"format.":[136,223],"Third,":[137],"light-weight":[141,203],"index":[143,204],"allows":[145],"reader":[147],"skip":[149],"non-relevant":[150],"parts":[151],"increased":[156],"read":[157],"efficiency.":[158],"Experiments":[159],"on":[160],"large-scale":[161],"real":[162],"showed":[164],"reduce":[169,184,192],"size":[172],"factor":[175],"even":[178],"without":[179],"Compression":[181],"further":[183,216],"size.":[187],"reading":[194],"time":[195],"two":[197],"orders":[198],"magnitude":[200],"when":[201],"applied.":[206],"initial":[208],"prototype":[209],"open":[211],"research":[213],"directions":[214],"improve":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2022-11-29T00:00:00"}