{"id":"https://openalex.org/W2127660363","doi":"https://doi.org/10.1109/icnc.2011.6022553","title":"Computing spatiotemporal variogram and covariance model","display_name":"Computing spatiotemporal variogram and covariance model","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2127660363","doi":"https://doi.org/10.1109/icnc.2011.6022553","mag":"2127660363"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2011.6022553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2011.6022553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Seventh International Conference on Natural Computation","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/A5102770758","display_name":"Aiping Xu","orcid":"https://orcid.org/0000-0002-9854-852X"},"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":"Aiping Xu","raw_affiliation_strings":["School of Computer, Wuhan University, Wuhan, China","School of Computer, Wuhan University, China 430079"],"affiliations":[{"raw_affiliation_string":"School of Computer, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer, Wuhan University, China 430079","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341231","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0001-8690-8017"},"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":"Qi Wang","raw_affiliation_strings":["Wuhan University, Wuhan, Hubei, CN","School of Computer, Wuhan University, China 430079"],"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, Hubei, CN","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer, Wuhan University, China 430079","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101865502","display_name":"Li Hu","orcid":"https://orcid.org/0000-0002-9815-976X"},"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":"Li Hu","raw_affiliation_strings":["School of Computer, Wuhan University, Wuhan, China","School of Computer, Wuhan University, China 430079"],"affiliations":[{"raw_affiliation_string":"School of Computer, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer, Wuhan University, China 430079","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016558583","display_name":"Hong Shu","orcid":"https://orcid.org/0000-0003-2108-1797"},"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"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Shu","raw_affiliation_strings":["National Lab for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","National Lab for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China, 430079"],"affiliations":[{"raw_affiliation_string":"National Lab for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]},{"raw_affiliation_string":"National Lab for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China, 430079","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102770758"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10077072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"2032","last_page":"2036"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9871000051498413,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9801999926567078,"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/variogram","display_name":"Variogram","score":0.9722628593444824},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.8685097694396973},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.6665251851081848},{"id":"https://openalex.org/keywords/rational-quadratic-covariance-function","display_name":"Rational quadratic covariance function","score":0.5826039910316467},{"id":"https://openalex.org/keywords/geostatistics","display_name":"Geostatistics","score":0.5282831788063049},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44580990076065063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4408155083656311},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.42368948459625244},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.412382036447525},{"id":"https://openalex.org/keywords/mat\u00e9rn-covariance-function","display_name":"Mat\u00e9rn covariance function","score":0.41016966104507446},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3894655704498291},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3686482906341553},{"id":"https://openalex.org/keywords/spatial-variability","display_name":"Spatial variability","score":0.3547971248626709},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.2973252832889557}],"concepts":[{"id":"https://openalex.org/C154881674","wikidata":"https://www.wikidata.org/wiki/Q2269270","display_name":"Variogram","level":3,"score":0.9722628593444824},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.8685097694396973},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.6665251851081848},{"id":"https://openalex.org/C148893098","wikidata":"https://www.wikidata.org/wiki/Q7295778","display_name":"Rational quadratic covariance function","level":5,"score":0.5826039910316467},{"id":"https://openalex.org/C125572338","wikidata":"https://www.wikidata.org/wiki/Q1440020","display_name":"Geostatistics","level":3,"score":0.5282831788063049},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44580990076065063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4408155083656311},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.42368948459625244},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.412382036447525},{"id":"https://openalex.org/C118006245","wikidata":"https://www.wikidata.org/wiki/Q6792079","display_name":"Mat\u00e9rn covariance function","level":5,"score":0.41016966104507446},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3894655704498291},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3686482906341553},{"id":"https://openalex.org/C94747663","wikidata":"https://www.wikidata.org/wiki/Q7574086","display_name":"Spatial variability","level":2,"score":0.3547971248626709},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.2973252832889557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2011.6022553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2011.6022553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Seventh International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1977306851","https://openalex.org/W2037418290","https://openalex.org/W2054753571","https://openalex.org/W2059251446","https://openalex.org/W2063357087","https://openalex.org/W2074931321","https://openalex.org/W2095311251","https://openalex.org/W2103534965","https://openalex.org/W2116375570","https://openalex.org/W2164681875","https://openalex.org/W2210445234","https://openalex.org/W2370672834","https://openalex.org/W2949046278"],"related_works":["https://openalex.org/W2048777342","https://openalex.org/W4237672998","https://openalex.org/W4315750325","https://openalex.org/W2110484224","https://openalex.org/W4296295513","https://openalex.org/W2046078371","https://openalex.org/W2952384845","https://openalex.org/W143964308","https://openalex.org/W1538824559","https://openalex.org/W647875031"],"abstract_inverted_index":{"A":[0],"large":[1],"number":[2,80],"of":[3,12,57,67,81,109,132,145,163,191,213,255],"environmental":[4,19],"phenomena":[5,20],"may":[6],"be":[7,46],"regarded":[8],"as":[9],"the":[10,41,59,64,107,123,130,137,154,161,167,173,189,197,209,214,221,235,242,260],"realizations":[11],"spatiotemporal":[13,37,49,60,75,86,99,110,124,198,215,246,263],"random":[14],"fields.":[15],"In":[16,25],"practice,":[17],"these":[18],"are":[21,78,150,176,203],"sparsely":[22],"sampled":[23],"generally.":[24],"order":[26],"to":[27,33,74,165,181,187],"research":[28,91,254],"deeply,":[29],"it":[30],"is":[31,54,127,186,239,251],"necessary":[32],"construct":[34],"a":[35,79],"continuous":[36],"data":[38],"surface,":[39],"so":[40],"prediction":[42,264,268],"or":[43,265,269,278],"interpolation":[44,270],"must":[45],"done.":[47],"The":[48,179,205,253],"variogram":[50,68,111,118,140,158,192,199,216,229,247,277],"and":[51,69,112,115,119,142,148,156,170,184,193,200,217,224,230,241,248],"covariance":[52,70,113,120,194,201,218,249,279],"model":[53,87,93,114,126,141,175,202,237,250],"useful":[55],"means":[56],"describing":[58],"correlation":[61],"structure.":[62],"For":[63],"straightforward":[65],"extension":[66],"from":[71],"pure":[72],"spatial":[73,155],"fields,":[76],"there":[77],"statistical":[82,100],"studies":[83],"about":[84,245],"theoretical":[85,98,236],"but":[88],"very":[89],"less":[90],"on":[92,106,275],"computing.":[94],"After":[95],"making":[96],"some":[97],"analysis,":[101],"this":[102,256],"paper":[103,257],"focused":[104],"mainly":[105],"computation":[108],"implement":[116],"effective":[117,240],"model.":[121,195,280],"Firstly,":[122],"product-sum":[125,174],"deduced":[128],"into":[129],"form":[131],"calculable":[133],"in":[134,172],"theory.":[135],"Secondly,":[136],"most":[138],"likely":[139],"its":[143],"parameters":[144,168],"sill,":[146],"nugget,":[147],"range":[149],"derived":[151],"through":[152],"computing":[153,243],"temporal":[157],"respectively.":[159],"Thirdly,":[160],"policy":[162],"how":[164],"determine":[166],"k1,k2":[169,183],"k3":[171,185],"put":[177],"forward.":[178],"objective":[180],"introduce":[182],"ensure":[188],"effectiveness":[190],"Lastly,":[196],"implemented.":[204],"results":[206],"have":[207],"shown":[208],"positive":[210],"definite":[211],"characteristics":[212,227],"varying":[219],"with":[220],"parameter":[222],"k1":[223],"reverse":[225],"variation":[226],"between":[228],"covariance,":[231],"which":[232],"proves":[233],"that":[234],"chosen":[238],"approach":[244],"feasible.":[252],"has":[258],"laid":[259],"foundation":[261],"for":[262],"interpolation,":[266],"because":[267],"can":[271],"do":[272],"only":[273],"basing":[274],"suitable":[276]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}