{"id":"https://openalex.org/W2768336276","doi":"https://doi.org/10.1109/geoinformatics.2017.8090910","title":"Estimating ground PM2.5 concentration using eigenvector spatial filtering regression","display_name":"Estimating ground PM2.5 concentration using eigenvector spatial filtering regression","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2768336276","doi":"https://doi.org/10.1109/geoinformatics.2017.8090910","mag":"2768336276"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2017.8090910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2017.8090910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th International Conference on Geoinformatics","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/A5100458625","display_name":"Jingyi Zhang","orcid":"https://orcid.org/0000-0002-5693-4203"},"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":"Jingyi Zhang","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726524","display_name":"Yumin Chen","orcid":"https://orcid.org/0000-0001-5045-6418"},"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":"Yumin Chen","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100775815","display_name":"Xiangfei Li","orcid":"https://orcid.org/0000-0001-6186-3844"},"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":"Xiangfei Li","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007471610","display_name":"Qianjiao Wu","orcid":"https://orcid.org/0000-0002-7897-541X"},"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":"Qianjiao Wu","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086865138","display_name":"Jiang Zhou","orcid":"https://orcid.org/0000-0002-7687-5896"},"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":"Jiang Zhou","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101995753","display_name":"Yan Lu","orcid":"https://orcid.org/0009-0000-5665-6306"},"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":"Yan Lu","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111066767","display_name":"Mo Cheng","orcid":"https://orcid.org/0009-0005-4514-327X"},"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":"Mo Cheng","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100458625"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.4108,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62508367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10190","display_name":"Air Quality and Health Impacts","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/T10190","display_name":"Air Quality and Health Impacts","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9937999844551086,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5562999844551086},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5559263825416565},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5494312047958374},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.4494766592979431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44147995114326477},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.42068490386009216},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39594659209251404},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3849363327026367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3631853461265564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3580583930015564},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3538956046104431},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1010674238204956}],"concepts":[{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5562999844551086},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5559263825416565},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5494312047958374},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.4494766592979431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44147995114326477},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.42068490386009216},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39594659209251404},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3849363327026367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3631853461265564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3580583930015564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3538956046104431},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1010674238204956},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2017.8090910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2017.8090910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th International Conference on Geoinformatics","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":26,"referenced_works":["https://openalex.org/W177854654","https://openalex.org/W276808286","https://openalex.org/W1173523477","https://openalex.org/W1969692531","https://openalex.org/W2003315067","https://openalex.org/W2006380470","https://openalex.org/W2013866933","https://openalex.org/W2042812801","https://openalex.org/W2057218833","https://openalex.org/W2109695403","https://openalex.org/W2119362352","https://openalex.org/W2129657257","https://openalex.org/W2138085930","https://openalex.org/W2140282454","https://openalex.org/W2151165687","https://openalex.org/W2181798172","https://openalex.org/W2252305884","https://openalex.org/W2301552301","https://openalex.org/W2399184460","https://openalex.org/W2469169030","https://openalex.org/W2497200023","https://openalex.org/W2514432806","https://openalex.org/W2516758599","https://openalex.org/W2553839055","https://openalex.org/W4236982631","https://openalex.org/W6682227449"],"related_works":["https://openalex.org/W2610868774","https://openalex.org/W4399767649","https://openalex.org/W2092994918","https://openalex.org/W3216594821","https://openalex.org/W2390006526","https://openalex.org/W31220157","https://openalex.org/W3215700490","https://openalex.org/W1915333409","https://openalex.org/W2393341384","https://openalex.org/W2312753042"],"abstract_inverted_index":{"In":[0,59],"recent":[1],"years,":[2],"air":[3],"pollution":[4],"is":[5,43],"getting":[6],"more":[7,41],"severe":[8],"in":[9,27,56,184],"China,":[10],"especially":[11],"fine":[12],"particulate":[13],"matter":[14],"(PM2.5).":[15],"However,":[16],"ground":[17,195],"monitoring":[18],"stations":[19],"are":[20,135],"sparse":[21],"and":[22,40,92,128,153,188],"distributed":[23],"unevenly,":[24],"causing":[25],"difficulty":[26],"analyzing":[28],"the":[29,53,65,72,77,84,97,147,154,163,172,176,185,194],"spatial":[30,54,67,78,89,191],"variation":[31],"of":[32,87,102,111,139,193],"PM2.5":[33,47,57,73,183,196],"concentration":[34],"over":[35],"a":[36,88],"large":[37],"area.":[38],"More":[39],"research":[42],"aimed":[44],"at":[45],"estimating":[46],"using":[48],"global":[49,148],"regression":[50,98,151,157,166],"model,":[51],"ignoring":[52],"heterogeneity":[55],"distribution.":[58],"this":[60],"paper,":[61],"we":[62],"innovatively":[63],"applied":[64],"eigenvector":[66],"filtering":[68],"(ESF)":[69],"method":[70],"into":[71],"modeling,":[74],"which":[75,134],"separates":[76],"effects":[79],"by":[80],"selecting":[81],"vectors":[82],"from":[83],"eigenvectors":[85],"group":[86],"weight":[90],"matrix":[91],"then":[93],"adds":[94],"them":[95],"to":[96,137,181],"model":[99,107,143,152,167,178],"as":[100],"part":[101],"independent":[103],"variables.":[104],"The":[105,141],"initial":[106],"variables":[108],"includes":[109],"concentrations":[110],"PM":[112],"<sub":[113,118,123,130],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[114,119,124,131],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">10</sub>":[115],",":[116,121,126,133],"NO":[117],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[120,125],"SO":[122],"CO":[127],"O":[129],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sub>":[132],"related":[136],"that":[138,162],"PM2.5.":[140],"proposed":[142,164],"was":[144,179],"compared":[145],"with":[146],"multiple":[149],"linear":[150],"geographically":[155],"weighted":[156],"model.":[158],"Experiments":[159],"results":[160],"showed":[161],"ESF":[165,177],"offers":[168],"better":[169],"performance":[170],"than":[171],"other":[173],"two.":[174],"Finally,":[175],"used":[180],"map":[182],"study":[186],"area":[187],"help":[189],"analyze":[190],"characteristic":[192],"concentration.":[197]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
