{"id":"https://openalex.org/W2868265858","doi":"https://doi.org/10.1080/13658816.2018.1471607","title":"A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China","display_name":"A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China","publication_year":2018,"publication_date":"2018-07-12","ids":{"openalex":"https://openalex.org/W2868265858","doi":"https://doi.org/10.1080/13658816.2018.1471607","mag":"2868265858"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2018.1471607","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2018.1471607","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/A5069094261","display_name":"Zhenhong Du","orcid":"https://orcid.org/0000-0001-9449-0415"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenhong Du","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou, China","Zhejiang Provincial Key Laboratory of Geographic Information Science, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9449-0415","affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Geographic Information Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085580167","display_name":"Sensen Wu","orcid":"https://orcid.org/0000-0001-9322-0149"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sensen Wu","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9322-0149","affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009185228","display_name":"Mei\u2010Po Kwan","orcid":"https://orcid.org/0000-0001-8602-9258"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mei-Po Kwan","raw_affiliation_strings":["Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":"https://orcid.org/0000-0001-8602-9258","affiliations":[{"raw_affiliation_string":"Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017628382","display_name":"Chuanrong Zhang","orcid":"https://orcid.org/0000-0001-5249-141X"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuanrong Zhang","raw_affiliation_strings":["Department of Geography, University of Connecticut, Storrs, CT, USA"],"raw_orcid":"https://orcid.org/0000-0001-5249-141X","affiliations":[{"raw_affiliation_string":"Department of Geography, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401308","display_name":"Feng Zhang","orcid":"https://orcid.org/0000-0003-1475-8480"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou, China","Zhejiang Provincial Key Laboratory of Geographic Information Science, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1475-8480","affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Geographic Information Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102930211","display_name":"Renyi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renyi Liu","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou, China","Zhejiang Provincial Key Laboratory of Geographic Information Science, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Geographic Information Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069094261"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.4171,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.80551506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"32","issue":"10","first_page":"1927","last_page":"1947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9970999956130981,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9879000186920166,"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":0.9114454984664917},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7232067584991455},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6621582508087158},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.5294931530952454},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5203689932823181},{"id":"https://openalex.org/keywords/variogram","display_name":"Variogram","score":0.48165667057037354},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.46066680550575256},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4543437659740448},{"id":"https://openalex.org/keywords/geostatistics","display_name":"Geostatistics","score":0.4386494755744934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3849024474620819},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33368468284606934},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.321617066860199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31178200244903564},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17897900938987732},{"id":"https://openalex.org/keywords/spatial-variability","display_name":"Spatial variability","score":0.17243599891662598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09315720200538635}],"concepts":[{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.9114454984664917},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7232067584991455},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6621582508087158},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.5294931530952454},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5203689932823181},{"id":"https://openalex.org/C154881674","wikidata":"https://www.wikidata.org/wiki/Q2269270","display_name":"Variogram","level":3,"score":0.48165667057037354},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.46066680550575256},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4543437659740448},{"id":"https://openalex.org/C125572338","wikidata":"https://www.wikidata.org/wiki/Q1440020","display_name":"Geostatistics","level":3,"score":0.4386494755744934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3849024474620819},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33368468284606934},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.321617066860199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31178200244903564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17897900938987732},{"id":"https://openalex.org/C94747663","wikidata":"https://www.wikidata.org/wiki/Q7574086","display_name":"Spatial variability","level":2,"score":0.17243599891662598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09315720200538635},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2018.1471607","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2018.1471607","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/14","display_name":"Life below water","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G1583088338","display_name":null,"funder_award_id":"2018YFB0505000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W93916772","https://openalex.org/W169034640","https://openalex.org/W646491317","https://openalex.org/W1005731857","https://openalex.org/W1599043334","https://openalex.org/W1829241487","https://openalex.org/W1971072421","https://openalex.org/W1971794754","https://openalex.org/W1976840258","https://openalex.org/W1977471773","https://openalex.org/W1979966833","https://openalex.org/W1980235402","https://openalex.org/W2012577865","https://openalex.org/W2024081693","https://openalex.org/W2035871099","https://openalex.org/W2040067837","https://openalex.org/W2046607127","https://openalex.org/W2057679965","https://openalex.org/W2061730269","https://openalex.org/W2066174685","https://openalex.org/W2084142201","https://openalex.org/W2091259694","https://openalex.org/W2095311251","https://openalex.org/W2116375570","https://openalex.org/W2143022286","https://openalex.org/W2155634029","https://openalex.org/W2222783860","https://openalex.org/W2339775662","https://openalex.org/W2496675188","https://openalex.org/W2566659539","https://openalex.org/W2571075179","https://openalex.org/W2606716674","https://openalex.org/W4251954660"],"related_works":["https://openalex.org/W2365452842","https://openalex.org/W2008528586","https://openalex.org/W2052710480","https://openalex.org/W2368967224","https://openalex.org/W2037793448","https://openalex.org/W3133739838","https://openalex.org/W3016725241","https://openalex.org/W1977441901","https://openalex.org/W1993996173","https://openalex.org/W3200148366"],"abstract_inverted_index":{"Spatiotemporal":[0,13],"kriging":[1,15,94,158,163],"(STK)":[2],"is":[3,27,96,185],"recognized":[4],"as":[5],"a":[6,116],"fundamental":[7],"space-time":[8,19],"prediction":[9,122],"method":[10,145],"in":[11,30,49,59,123],"geo-statistics.":[12],"regression":[14,20,25,80,92,157],"(STRK),":[16],"which":[17],"combines":[18],"with":[21,73],"STK":[22,198],"of":[23,63,102,113,119,127,182,197],"the":[24,42,50,55,60,100,111,124,131,143,151,169,179,194],"residuals,":[26],"widely":[28],"used":[29],"various":[31],"fields,":[32],"due":[33],"to":[34,37,70,134,177,187],"its":[35],"ability":[36],"take":[38],"into":[39],"account":[40],"both":[41],"external":[43],"covariate":[44],"information":[45],"and":[46,77,89,105,154,160,190],"spatiotemporal":[47,56,93,161,171,180],"autocorrelation":[48],"sample":[51],"data.":[52],"To":[53,109],"handle":[54],"non-stationary":[57],"relationship":[58],"trend":[61,104],"component":[62],"STRK,":[64],"this":[65],"paper":[66],"extends":[67],"conventional":[68],"STRK":[69],"incorporate":[71],"it":[72,191],"an":[74],"improved":[75],"geographically":[76,88,153],"temporally":[78,90,155],"weighted":[79,91,156],"(I-GTWR)":[81],"model.":[82],"A":[83],"new":[84],"geo-statistical":[85],"model,":[86],"named":[87],"(GTWR-STK),":[95],"proposed":[97],"based":[98],"on":[99],"decomposition":[101],"deterministic":[103],"stochastic":[106],"residual":[107,183,195],"components.":[108],"assess":[110],"efficacy":[112],"our":[114],"method,":[115],"case":[117],"study":[118],"chlorophyll-a":[120],"(Chl-a)":[121],"coastal":[125],"areas":[126],"Zhejiang,":[128],"China,":[129],"for":[130],"years":[132],"2002":[133],"2015":[135],"was":[136],"carried":[137],"out.":[138],"The":[139],"results":[140,148],"show":[141],"that":[142,149],"presented":[144],"generated":[146],"reliable":[147],"outperform":[150],"GTWR,":[152],"(GTWR-K)":[159],"ordinary":[162],"(STOK)":[164],"models.":[165],"In":[166],"addition,":[167],"employing":[168],"optimal":[170],"distance":[172],"obtained":[173],"by":[174],"I-GTWR":[175],"calibration":[176],"fit":[178],"variograms":[181],"mapping":[184],"confirmed":[186],"be":[188],"feasible,":[189],"considerably":[192],"simplifies":[193],"estimation":[196],"interpolation.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}