{"id":"https://openalex.org/W4388470427","doi":"https://doi.org/10.1145/3632268.3632281","title":"The 10th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2022)","display_name":"The 10th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2022)","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4388470427","doi":"https://doi.org/10.1145/3632268.3632281"},"language":"en","primary_location":{"id":"doi:10.1145/3632268.3632281","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3632268.3632281","pdf_url":null,"source":{"id":"https://openalex.org/S27924493","display_name":"SIGSPATIAL Special","issn_l":"1946-7729","issn":["1946-7729"],"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":"SIGSPATIAL Special","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/A5084785099","display_name":"Ashwin Shashidharan","orcid":null},"institutions":[{"id":"https://openalex.org/I1292842697","display_name":"Environmental Systems Research Institute (United States)","ror":"https://ror.org/0428exr50","country_code":"US","type":"company","lineage":["https://openalex.org/I1292842697"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashwin Shashidharan","raw_affiliation_strings":["Esri, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Esri, USA","institution_ids":["https://openalex.org/I1292842697"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073058920","display_name":"Krishna Karthik Gadiraju","orcid":"https://orcid.org/0000-0003-3964-7242"},"institutions":[{"id":"https://openalex.org/I1339145263","display_name":"Juniper Networks (United States)","ror":"https://ror.org/02pwct569","country_code":"US","type":"company","lineage":["https://openalex.org/I1339145263"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishna Karthik Gadiraju","raw_affiliation_strings":["Juniper Inc., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Juniper Inc., USA","institution_ids":["https://openalex.org/I1339145263"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065410886","display_name":"Ranga Raju Vatsavai","orcid":"https://orcid.org/0000-0002-7083-0267"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ranga Raju Vatsavai","raw_affiliation_strings":["Department of Computer Science, North Carolina State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina State University, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003851078","display_name":"Varun Chandola","orcid":"https://orcid.org/0000-0001-8990-1398"},"institutions":[{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]},{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Varun Chandola","raw_affiliation_strings":["Department of Computer Science and Engineering, SUNY Buffalo, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, SUNY Buffalo, USA","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26763722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"1","first_page":"43","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9854000210762024,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/petabyte","display_name":"Petabyte","score":0.909156084060669},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.8698539137840271},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6963694095611572},{"id":"https://openalex.org/keywords/data-management","display_name":"Data management","score":0.6138941049575806},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5837830305099487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5761738419532776},{"id":"https://openalex.org/keywords/realm","display_name":"Realm","score":0.5650033950805664},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5597453117370605},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3295602798461914},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.22657835483551025},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21079611778259277},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.17651766538619995},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1573163866996765}],"concepts":[{"id":"https://openalex.org/C13600138","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Petabyte","level":3,"score":0.909156084060669},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8698539137840271},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6963694095611572},{"id":"https://openalex.org/C1668388","wikidata":"https://www.wikidata.org/wiki/Q1149776","display_name":"Data management","level":2,"score":0.6138941049575806},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5837830305099487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5761738419532776},{"id":"https://openalex.org/C2778757428","wikidata":"https://www.wikidata.org/wiki/Q1250464","display_name":"Realm","level":2,"score":0.5650033950805664},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5597453117370605},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3295602798461914},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.22657835483551025},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21079611778259277},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.17651766538619995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1573163866996765},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3632268.3632281","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3632268.3632281","pdf_url":null,"source":{"id":"https://openalex.org/S27924493","display_name":"SIGSPATIAL Special","issn_l":"1946-7729","issn":["1946-7729"],"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":"SIGSPATIAL Special","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2051265785","https://openalex.org/W4308065157","https://openalex.org/W4308102102","https://openalex.org/W4308232792","https://openalex.org/W4308232852"],"related_works":["https://openalex.org/W2936171637","https://openalex.org/W1586214342","https://openalex.org/W2278792348","https://openalex.org/W2260589296","https://openalex.org/W2990494149","https://openalex.org/W3157828377","https://openalex.org/W4290059108","https://openalex.org/W3088424364","https://openalex.org/W4386546613","https://openalex.org/W4248225222"],"abstract_inverted_index":{"Analysis":[0,148],"and":[1,14,19,26,35,48,67,78,87,106,135],"management":[2,36],"of":[3,9,31,44,54,58,70,84,138,149],"big":[4,32,45],"data":[5,12,33,50,91,118,152],"are":[6,51],"important":[7],"areas":[8],"research":[10],"for":[11,119],"researchers":[13],"scientists.":[15],"Both":[16],"the":[17,29,38,42,55,68,82,136,145],"industry":[18],"governmental":[20],"agencies":[21],"have":[22],"invested":[23],"tremendous":[24],"resources":[25],"effort":[27],"in":[28,37,62,74,96,103],"area":[30],"analysis":[34],"past":[39],"decade.":[40],"Within":[41],"realm":[43],"data,":[46],"spatial":[47],"spatio-temporal":[49],"still":[52],"one":[53],"fastest-growing":[56],"types":[57],"data.":[59],"With":[60],"advances":[61],"remote":[63],"sensors,":[64],"sensor":[65,108],"networks,":[66],"proliferation":[69],"location":[71],"sensing":[72],"devices":[73],"daily":[75],"life":[76],"activities":[77],"common":[79],"business":[80],"practices,":[81],"generation":[83],"disparate,":[85],"dynamic,":[86],"geographically":[88],"distributed":[89],"spatiotemporal":[90],"has":[92,110,143],"continued":[93],"to":[94,112,115,156],"explode":[95],"recent":[97],"years.":[98],"In":[99],"addition,":[100],"significant":[101],"progress":[102],"ground,":[104],"air,":[105],"space-borne":[107],"technologies":[109],"led":[111],"unprecedented":[113],"access":[114],"earth":[116],"science":[117],"scientists":[120],"from":[121],"different":[122],"disciplines.":[123],"For":[124],"example,":[125],"NASA":[126],"recently":[127],"collected":[128,142],"its":[129],"10":[130],"millionth":[131],"Landsat":[132],"image":[133],"[4]":[134],"volume":[137],"satellite":[139],"imagery":[140],"being":[141],"reached":[144],"petabyte":[146],"scale.":[147],"this":[150],"large-scale":[151],"poses":[153],"new":[154],"challenges":[155],"researchers.":[157]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}