{"id":"https://openalex.org/W3007022245","doi":"https://doi.org/10.1109/bigdata47090.2019.9005731","title":"Ensemble kriging for environmental spatial processes","display_name":"Ensemble kriging for environmental spatial processes","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007022245","doi":"https://doi.org/10.1109/bigdata47090.2019.9005731","mag":"3007022245"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9005731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","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/A5066823873","display_name":"Gokhan Mert Yagli","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Gokhan Mert Yagli","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023172836","display_name":"Joel Wei En Tay","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Joel Wei En Tay","raw_affiliation_strings":["Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I4210091207"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100321859","display_name":"Dazhi Yang","orcid":"https://orcid.org/0000-0003-2162-6873"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dazhi Yang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066823873"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.42,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72737459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"166","issue":null,"first_page":"3947","last_page":"3950"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9962000250816345,"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9724000096321106,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9351000189781189,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/kriging","display_name":"Kriging","score":0.6732996702194214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.605202853679657},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5913939476013184},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5364172458648682},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4864920973777771},{"id":"https://openalex.org/keywords/terabyte","display_name":"Terabyte","score":0.46323391795158386},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.456880658864975},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.4492439925670624},{"id":"https://openalex.org/keywords/solar-resource","display_name":"Solar Resource","score":0.4328339397907257},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4012709856033325},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.32401710748672485},{"id":"https://openalex.org/keywords/solar-energy","display_name":"Solar energy","score":0.23362353444099426},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19822192192077637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13128772377967834},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11022922396659851}],"concepts":[{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.6732996702194214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.605202853679657},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5913939476013184},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5364172458648682},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4864920973777771},{"id":"https://openalex.org/C199683683","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Terabyte","level":2,"score":0.46323391795158386},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.456880658864975},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.4492439925670624},{"id":"https://openalex.org/C2778676262","wikidata":"https://www.wikidata.org/wiki/Q7555952","display_name":"Solar Resource","level":3,"score":0.4328339397907257},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4012709856033325},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.32401710748672485},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.23362353444099426},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19822192192077637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13128772377967834},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11022922396659851},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9005731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W940593127","https://openalex.org/W2068424727","https://openalex.org/W2143022286","https://openalex.org/W2621900912","https://openalex.org/W2801658026","https://openalex.org/W2805503300","https://openalex.org/W2883494039","https://openalex.org/W2887525857","https://openalex.org/W2889496066","https://openalex.org/W2893545077","https://openalex.org/W2915081556","https://openalex.org/W2933151916","https://openalex.org/W2957842722","https://openalex.org/W2967351620","https://openalex.org/W2982191044","https://openalex.org/W4301028290","https://openalex.org/W6681402394"],"related_works":["https://openalex.org/W2021907765","https://openalex.org/W2357092082","https://openalex.org/W2351738657","https://openalex.org/W1974124546","https://openalex.org/W2068294234","https://openalex.org/W2377315704","https://openalex.org/W2389334698","https://openalex.org/W2387830476","https://openalex.org/W4220951507","https://openalex.org/W2356435175"],"abstract_inverted_index":{"Remote-sensed":[0],"and":[1,121,200],"reanalysis":[2],"databases":[3,23],"are":[4,24,37,78,106],"valuable":[5,174],"sources":[6],"of":[7,15,21,43,127,133,156],"environmental":[8,104],"data":[9,48,190,201],"that":[10,63],"support":[11],"a":[12,91,124,153,165,173],"wide":[13],"range":[14],"engineering":[16],"applications.":[17,180],"However,":[18],"the":[19,41,46,60,74,79,102,112,117,128,134,137],"sizes":[20],"such":[22,97],"often":[25],"measured":[26],"in":[27],"terabytes":[28],"(TB).":[29],"Whereas":[30],"these":[31],"datasets":[32],"with":[33,59,116,152,164],"high":[34],"spatial":[35,92,154,198],"resolution":[36,155,199],"usually":[38],"stored":[39],"on":[40,191],"servers":[42],"national":[44],"laboratories,":[45],"large":[47],"volume":[49],"can":[50,110],"be":[51],"inconvenient":[52],"for":[53,176],"individuals":[54],"who":[55],"wish":[56],"to":[57,68,95,114],"work":[58,115],"data.":[61,129],"To":[62],"end,":[64],"it":[65],"is":[66,172,187,203],"important":[67],"investigate":[69],"how":[70],"much":[71],"redundant":[72],"information":[73],"dataset":[75,175],"contains,":[76],"e.g.,":[77],"time":[80],"series":[81],"from":[82],"two":[83],"adjacent":[84],"pixels":[85],"statistically":[86],"different?":[87],"We":[88],"use":[89,122],"kriging,":[90],"interpolation":[93],"technique,":[94],"quantify":[96],"redundancy.":[98],"More":[99],"specifically,":[100],"if":[101],"kriged":[103],"processes":[105],"sufficiently":[107],"accurate,":[108],"one":[109],"circumvent":[111],"need":[113],"original":[118],"high-spatial-resolution":[119],"data,":[120,151],"only":[123],"dimension-reduced":[125,193],"version":[126],"The":[130,181,195],"empirical":[131],"part":[132],"paper":[135],"considers":[136],"National":[138],"Solar":[139],"Radiation":[140],"Data":[141],"Base":[142],"(NSRDB),":[143],"which":[144],"provides":[145],"half-hourly,":[146],"gridded,":[147],"satellite-derived":[148],"solar":[149,177],"irradiance":[150,184],"4":[157,160],"km":[158],"by":[159],"km,":[161],"spanning":[162],"1998-2017,":[163],"total":[166],"size":[167],"over":[168],"40":[169],"TB.":[170],"NSRDB":[171],"resource":[178],"assessment":[179],"beam":[182],"normal":[183],"(BNI)":[185],"process":[186],"reconstructed":[188],"using":[189],"various":[192],"lattices.":[194],"trade-off":[196],"between":[197],"accuracy":[202],"studied.":[204]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}