{"id":"https://openalex.org/W4414393734","doi":"https://doi.org/10.1080/13658816.2025.2563116","title":"Canonical spatial correlation analysis","display_name":"Canonical spatial correlation analysis","publication_year":2025,"publication_date":"2025-09-22","ids":{"openalex":"https://openalex.org/W4414393734","doi":"https://doi.org/10.1080/13658816.2025.2563116"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2025.2563116","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2025.2563116","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/A5076973255","display_name":"Jie Lin","orcid":"https://orcid.org/0000-0003-4106-7474"},"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":"Jie Lin","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5076973255"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":2.0621,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90782623,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"40","issue":"5","first_page":"1497","last_page":"1518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9934999942779541,"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"}},"topics":[{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9934999942779541,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9722999930381775,"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/T11014","display_name":"Regional Economics and Spatial Analysis","score":0.9387000203132629,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.8521999716758728},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.7584999799728394},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5458999872207642},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.5230000019073486},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5105000138282776},{"id":"https://openalex.org/keywords/canonical-analysis","display_name":"Canonical analysis","score":0.46880000829696655},{"id":"https://openalex.org/keywords/canonical-correspondence-analysis","display_name":"Canonical correspondence analysis","score":0.4523000121116638},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4235000014305115},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4090999960899353}],"concepts":[{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.8521999716758728},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.7584999799728394},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5458999872207642},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5360999703407288},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.5230000019073486},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5105000138282776},{"id":"https://openalex.org/C75806538","wikidata":"https://www.wikidata.org/wiki/Q5033360","display_name":"Canonical analysis","level":2,"score":0.46880000829696655},{"id":"https://openalex.org/C102720910","wikidata":"https://www.wikidata.org/wiki/Q16851643","display_name":"Canonical correspondence analysis","level":3,"score":0.4523000121116638},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4235000014305115},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4090999960899353},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36419999599456787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35899999737739563},{"id":"https://openalex.org/C148264743","wikidata":"https://www.wikidata.org/wiki/Q4919224","display_name":"Bivariate data","level":3,"score":0.350600004196167},{"id":"https://openalex.org/C158709400","wikidata":"https://www.wikidata.org/wiki/Q3578586","display_name":"Spatial ecology","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3257000148296356},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C148298330","wikidata":"https://www.wikidata.org/wiki/Q1784754","display_name":"Correspondence analysis","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C2986522900","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relationship","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.27900001406669617},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C94747663","wikidata":"https://www.wikidata.org/wiki/Q7574086","display_name":"Spatial variability","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2025.2563116","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2025.2563116","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1724774935","https://openalex.org/W1972949572","https://openalex.org/W1975099353","https://openalex.org/W2006235206","https://openalex.org/W2012691952","https://openalex.org/W2021727574","https://openalex.org/W2025341678","https://openalex.org/W2027792427","https://openalex.org/W2031148456","https://openalex.org/W2034347334","https://openalex.org/W2037308652","https://openalex.org/W2046431770","https://openalex.org/W2046471839","https://openalex.org/W2061331248","https://openalex.org/W2063304639","https://openalex.org/W2070381999","https://openalex.org/W2073689917","https://openalex.org/W2076978494","https://openalex.org/W2079181692","https://openalex.org/W2088141263","https://openalex.org/W2092607863","https://openalex.org/W2096605080","https://openalex.org/W2124491641","https://openalex.org/W2124634097","https://openalex.org/W2164184454","https://openalex.org/W2164977213","https://openalex.org/W2314024971","https://openalex.org/W2321371257","https://openalex.org/W2938830540","https://openalex.org/W3004384441","https://openalex.org/W3022329761","https://openalex.org/W3023314118","https://openalex.org/W3037945061","https://openalex.org/W3092982608","https://openalex.org/W3127480502","https://openalex.org/W4239785190","https://openalex.org/W4244364925","https://openalex.org/W4245247355","https://openalex.org/W4246116334","https://openalex.org/W4248895612","https://openalex.org/W4385515029","https://openalex.org/W4413450068"],"related_works":[],"abstract_inverted_index":{"The":[0,39],"standard":[1],"canonical":[2,70],"correlation":[3,72,87],"analysis":[4,73],"(CCA)":[5],"treats":[6],"each":[7,25],"observation":[8],"independently,":[9],"which":[10],"neglects":[11],"the":[12,47,57,69,82,93,97,108,111,115],"connections":[13],"between":[14,51],"them.":[15],"However,":[16],"geographic":[17],"observations":[18],"that":[19,44],"are":[20],"spatially":[21],"proximate":[22],"will":[23],"affect":[24],"other.":[26],"Hence,":[27],"it":[28],"can":[29],"be":[30],"problematic":[31],"to":[32,35,59,114],"apply":[33],"CCA":[34,43],"a":[36,42,63,78],"spatial":[37,49,53,71,86],"context.":[38],"adaptation":[40],"of":[41,81,85,96,110],"accounts":[45],"for":[46],"bivariate":[48,83],"dependence":[50],"two":[52],"processes":[54],"could":[55],"address":[56],"issue":[58],"some":[60],"extent.":[61],"Such":[62],"method":[64,84,113],"is":[65,76],"named":[66],"here":[67],"as":[68],"(CSCA),":[74],"and":[75,99,105,119],"essentially":[77],"multivariate":[79],"extension":[80],"analysis.":[88],"This":[89],"paper":[90],"first":[91],"introduces":[92],"basic":[94],"concepts":[95],"CSCA,":[98],"then":[100],"presents":[101],"its":[102,129],"solution,":[103],"testing,":[104],"interpretation.":[106],"Finally,":[107],"application":[109],"new":[112],"health-related":[116],"social":[117],"determinant":[118],"outcome":[120],"data":[121],"in":[122],"Florida":[123],"state":[124],"at":[125],"tract":[126],"level":[127],"demonstrates":[128],"broad":[130],"utility.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
