{"id":"https://openalex.org/W4282934543","doi":"https://doi.org/10.1080/13658816.2022.2087222","title":"A multi-source spatio-temporal data cube for large-scale geospatial analysis","display_name":"A multi-source spatio-temporal data cube for large-scale geospatial analysis","publication_year":2022,"publication_date":"2022-06-14","ids":{"openalex":"https://openalex.org/W4282934543","doi":"https://doi.org/10.1080/13658816.2022.2087222"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2022.2087222","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2022.2087222","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","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/A5036632140","display_name":"Fan Gao","orcid":"https://orcid.org/0000-0001-9207-7635"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Gao","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003200822","display_name":"Peng Yue","orcid":"https://orcid.org/0000-0003-3006-4542"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Yue","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan, Hubei, China","Hubei Province Engineering Center for Intelligent Geoprocessing (HPECIG), Wuhan University, Wuhan, Hubei, China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan, Hubei, China","institution_ids":[]},{"raw_affiliation_string":"Hubei Province Engineering Center for Intelligent Geoprocessing (HPECIG), Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101754430","display_name":"Zhipeng Cao","orcid":"https://orcid.org/0000-0001-6255-8569"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Cao","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101193157","display_name":"Shuaifeng Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaifeng Zhao","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006360988","display_name":"Boyi Shangguan","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyi Shangguan","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075615122","display_name":"Liangcun Jiang","orcid":"https://orcid.org/0000-0003-4994-7644"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangcun Jiang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057565091","display_name":"Lei Hu","orcid":"https://orcid.org/0000-0001-9481-4176"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Hu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048320054","display_name":"Zhe Fang","orcid":"https://orcid.org/0000-0003-3754-4039"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Fang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009519585","display_name":"Zheheng Liang","orcid":"https://orcid.org/0009-0007-7656-2092"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheheng Liang","raw_affiliation_strings":["South Digital Technology Co, Ltd., Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"South Digital Technology Co, Ltd., Guangzhou, Guangdong, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5003200822"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":6.7206,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.9772006,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"36","issue":"9","first_page":"1853","last_page":"1884"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9804999828338623,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9782999753952026,"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/geospatial-analysis","display_name":"Geospatial analysis","score":0.8732196092605591},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.861179530620575},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.6905040740966797},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6833569407463074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6697224974632263},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.6553842425346375},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48156407475471497},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.47776782512664795},{"id":"https://openalex.org/keywords/raster-data","display_name":"Raster data","score":0.45178306102752686},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.44727614521980286},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.43767374753952026},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43189936876296997},{"id":"https://openalex.org/keywords/data-management","display_name":"Data management","score":0.42238110303878784},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.34189122915267944},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.3264463245868683},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2506083846092224},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.1932646632194519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10920971632003784},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07108888030052185}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.8732196092605591},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.861179530620575},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.6905040740966797},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6833569407463074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6697224974632263},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.6553842425346375},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48156407475471497},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.47776782512664795},{"id":"https://openalex.org/C2692088","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster data","level":3,"score":0.45178306102752686},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.44727614521980286},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.43767374753952026},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43189936876296997},{"id":"https://openalex.org/C1668388","wikidata":"https://www.wikidata.org/wiki/Q1149776","display_name":"Data management","level":2,"score":0.42238110303878784},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.34189122915267944},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.3264463245868683},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2506083846092224},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.1932646632194519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10920971632003784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07108888030052185},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2022.2087222","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2022.2087222","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G6879652387","display_name":null,"funder_award_id":"42071354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7891852649","display_name":null,"funder_award_id":"42090011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1495859460","https://openalex.org/W1536385904","https://openalex.org/W1569533258","https://openalex.org/W1604972505","https://openalex.org/W2018681530","https://openalex.org/W2033747165","https://openalex.org/W2048204427","https://openalex.org/W2072764742","https://openalex.org/W2086311507","https://openalex.org/W2092073958","https://openalex.org/W2103201239","https://openalex.org/W2113046024","https://openalex.org/W2151915498","https://openalex.org/W2179843978","https://openalex.org/W2189465200","https://openalex.org/W2236111634","https://openalex.org/W2565062267","https://openalex.org/W2605433586","https://openalex.org/W2725897987","https://openalex.org/W2735662389","https://openalex.org/W2771417949","https://openalex.org/W2773549323","https://openalex.org/W2786138856","https://openalex.org/W2900658169","https://openalex.org/W2901358422","https://openalex.org/W2922388164","https://openalex.org/W2933452654","https://openalex.org/W2955450471","https://openalex.org/W2962771342","https://openalex.org/W2982196210","https://openalex.org/W2995564009","https://openalex.org/W3006839947","https://openalex.org/W3041064664","https://openalex.org/W3130561622","https://openalex.org/W3132875996","https://openalex.org/W3139263896","https://openalex.org/W3173324648","https://openalex.org/W4247618959"],"related_works":["https://openalex.org/W2078886005","https://openalex.org/W2087724950","https://openalex.org/W1514498087","https://openalex.org/W2366586806","https://openalex.org/W2198278743","https://openalex.org/W2359610078","https://openalex.org/W1578257433","https://openalex.org/W2386977141","https://openalex.org/W2360760838","https://openalex.org/W2727179277"],"abstract_inverted_index":{"Data":[0],"management":[1,41,104],"and":[2,42,65,91,105,128,144,163,168],"analysis":[3],"are":[4],"challenging":[5],"with":[6,108,158],"big":[7,22,38,63],"Earth":[8],"observation":[9],"(EO)":[10],"data.":[11,67],"Expanding":[12],"upon":[13],"the":[14,51,56,109,125,166,171],"rising":[15],"promises":[16],"of":[17,58,73,149,170],"data":[18,34,40,49,59,86,94,102,119,153,159],"cubes":[19,60],"for":[20,80,95,117,136,142,152],"analysis-ready":[21],"EO":[23,39,101,118],"data,":[24,83],"we":[25],"propose":[26],"a":[27,33],"new":[28],"geospatial":[29,82,85],"infrastructure":[30],"layered":[31],"over":[32],"cube":[35,78,93,103,120,140,154],"to":[36,45,61,132],"facilitate":[37],"analysis.":[43],"Compared":[44],"previous":[46],"work":[47],"on":[48],"cubes,":[50],"proposed":[52,172],"infrastructure,":[53],"GeoCube,":[54],"extends":[55],"capacity":[57],"multi-source":[62,81],"vector":[64],"raster":[66],"GeoCube":[68],"is":[69],"developed":[70],"in":[71],"terms":[72],"three":[74],"major":[75,126],"efforts:":[76],"formalize":[77],"dimensions":[79],"process":[84],"query":[87],"along":[88],"these":[89],"dimensions,":[90],"organize":[92],"high-performance":[96],"geoprocessing.":[97],"This":[98],"strategy":[99],"improves":[100],"keeps":[106],"connections":[107],"business":[110],"intelligence":[111,146],"cube,":[112],"which":[113],"provides":[114],"supplementary":[115],"information":[116],"processing.":[121,155],"The":[122],"paper":[123],"highlights":[124],"efforts":[127],"key":[129],"research":[130],"contributions":[131],"online":[133],"analytical":[134],"processing":[135],"dimension":[137],"formalization,":[138],"distributed":[139],"objects":[141],"tiles,":[143],"artificial":[145],"enabled":[147],"prediction":[148],"computational":[150],"intensity":[151],"Case":[156],"studies":[157],"from":[160],"Landsat,":[161],"Gaofen,":[162],"OpenStreetMap":[164],"demonstrate":[165],"capabilities":[167],"applicability":[169],"infrastructure.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}