{"id":"https://openalex.org/W1726639901","doi":"https://doi.org/10.1214/16-ss115","title":"A comparison of spatial predictors when datasets could be very large","display_name":"A comparison of spatial predictors when datasets could be very large","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W1726639901","doi":"https://doi.org/10.1214/16-ss115","mag":"1726639901"},"language":"en","primary_location":{"id":"doi:10.1214/16-ss115","doi":"https://doi.org/10.1214/16-ss115","is_oa":true,"landing_page_url":"https://doi.org/10.1214/16-ss115","pdf_url":"https://projecteuclid.org/journals/statistics-surveys/volume-10/issue-none/A-comparison-of-spatial-predictors-when-datasets-could-be-very/10.1214/16-SS115.pdf","source":{"id":"https://openalex.org/S147498506","display_name":"Statistics Surveys","issn_l":"1935-7516","issn":["1935-7516"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","poland-140","russia-white-list-1"],"host_organization":"https://openalex.org/P4310315749","host_organization_name":"American Statistical Association","host_organization_lineage":["https://openalex.org/P4310315749"],"host_organization_lineage_names":["American Statistical Association"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics Surveys","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://projecteuclid.org/journals/statistics-surveys/volume-10/issue-none/A-comparison-of-spatial-predictors-when-datasets-could-be-very/10.1214/16-SS115.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044424051","display_name":"Jonathan R. Bradley","orcid":"https://orcid.org/0000-0002-7000-2576","observed_orcids":["https://orcid.org/0000-0002-7000-2576"]},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]},{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]},{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]},{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["AU","US"],"is_corresponding":true,"raw_author_name":"Jonathan R. Bradley","raw_affiliation_strings":["Department of Statistics, Florida State University, Tallahassee, FL","Department of Statistics, University of Missouri, Columbia, MO","Department of Statistics, The Ohio State University, Columbus, OH","National Institute for Applied Statistics Research Australia,","University of Wollongong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Florida State University, Tallahassee, FL","institution_ids":["https://openalex.org/I103163165"]},{"raw_affiliation_string":"Department of Statistics, University of Missouri, Columbia, MO","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Department of Statistics, The Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"National Institute for Applied Statistics Research Australia,","institution_ids":[]},{"raw_affiliation_string":"University of Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025099112","display_name":"Noel Cressie","orcid":"https://orcid.org/0000-0002-0274-8050","observed_orcids":["https://orcid.org/0000-0002-0274-8050"]},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]},{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]},{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]},{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Noel Cressie","raw_affiliation_strings":["National Institute for Applied Statistics Research Australia,","University of Wollongong, Australia","Department of Statistics, Florida State University, Tallahassee, FL","Department of Statistics, The Ohio State University, Columbus, OH","Department of Statistics, University of Missouri, Columbia, MO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute for Applied Statistics Research Australia,","institution_ids":[]},{"raw_affiliation_string":"University of Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]},{"raw_affiliation_string":"Department of Statistics, Florida State University, Tallahassee, FL","institution_ids":["https://openalex.org/I103163165"]},{"raw_affiliation_string":"Department of Statistics, The Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Department of Statistics, University of Missouri, Columbia, MO","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073264631","display_name":"Tao Shi","orcid":"https://orcid.org/0000-0003-2867-8158","observed_orcids":["https://orcid.org/0000-0003-2867-8158"]},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]},{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]},{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]},{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Tao Shi","raw_affiliation_strings":["Department of Statistics, The Ohio State University, Columbus, OH","Department of Statistics, Florida State University, Tallahassee, FL","Department of Statistics, University of Missouri, Columbia, MO","National Institute for Applied Statistics Research Australia,","University of Wollongong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, The Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Department of Statistics, Florida State University, Tallahassee, FL","institution_ids":["https://openalex.org/I103163165"]},{"raw_affiliation_string":"Department of Statistics, University of Missouri, Columbia, MO","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"National Institute for Applied Statistics Research Australia,","institution_ids":[]},{"raw_affiliation_string":"University of Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044424051"],"corresponding_institution_ids":["https://openalex.org/I103163165","https://openalex.org/I204824540","https://openalex.org/I52357470","https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":11.5729,"has_fulltext":true,"cited_by_count":62,"citation_normalized_percentile":{"value":0.98164631,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"10","issue":"none","first_page":"100","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9911999702453613,"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":0.9911999702453613,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.006099999882280827,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.001500000013038516,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spatial-prediction","display_name":"spatial prediction","score":0.9860000014305115},{"id":"https://openalex.org/keywords/spatial-predictors","display_name":"spatial predictors","score":0.7979999780654907},{"id":"https://openalex.org/keywords/kriging","display_name":"kriging","score":0.8330000042915344},{"id":"https://openalex.org/keywords/smoothing-splines","display_name":"smoothing splines","score":0.9100000262260437},{"id":"https://openalex.org/keywords/fixed-rank-kriging","display_name":"fixed rank kriging","score":0.9990000128746033},{"id":"https://openalex.org/keywords/stochastic-partial-differential-equations","display_name":"stochastic partial differential equations","score":0.9919999837875366},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.7919999957084656},{"id":"https://openalex.org/keywords/memory-usage","display_name":"memory usage","score":0.765999972820282},{"id":"https://openalex.org/keywords/geospatial-big-data","display_name":"geospatial big data","score":0.5149999856948853}],"concepts":[{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.777025043964386},{"id":"https://openalex.org/C154881674","wikidata":"https://www.wikidata.org/wiki/Q2269270","display_name":"Variogram","level":3,"score":0.6136666536331177},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5927777886390686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.567138671875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5027327537536621},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5020968914031982},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4971599876880646},{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.4586060643196106},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40668985247612},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3929802477359772},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3545035719871521},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33314675092697144},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32997867465019226},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":10,"locations":[{"id":"doi:10.1214/16-ss115","doi":"https://doi.org/10.1214/16-ss115","is_oa":true,"landing_page_url":"https://doi.org/10.1214/16-ss115","pdf_url":"https://projecteuclid.org/journals/statistics-surveys/volume-10/issue-none/A-comparison-of-spatial-predictors-when-datasets-could-be-very/10.1214/16-SS115.pdf","source":{"id":"https://openalex.org/S147498506","display_name":"Statistics Surveys","issn_l":"1935-7516","issn":["1935-7516"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","poland-140","russia-white-list-1"],"host_organization":"https://openalex.org/P4310315749","host_organization_name":"American Statistical Association","host_organization_lineage":["https://openalex.org/P4310315749"],"host_organization_lineage_names":["American Statistical Association"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics Surveys","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1410.7748","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1410.7748","pdf_url":"https://arxiv.org/pdf/1410.7748","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2952323536","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1410.7748","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.744.2646","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.744.2646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1410.7748.pdf","raw_type":"text"},{"id":"pmh:oai:ro.uow.edu.au:eispapers-7152","doi":null,"is_oa":false,"landing_page_url":"https://ro.uow.edu.au/eispapers/6122","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty of Engineering and Information Sciences - Papers: Part A","raw_type":"article"},{"id":"pmh:oai:ro.uow.edu.au:niasrawp-1013","doi":null,"is_oa":false,"landing_page_url":"https://ro.uow.edu.au/niasrawp/16","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"National Institute for Applied Statistics Research Australia Working Paper Series","raw_type":"text"},{"id":"pmh:oai:CULeuclid:euclid.ssu/1468952015","doi":null,"is_oa":false,"landing_page_url":"http://projecteuclid.org/euclid.ssu/1468952015","pdf_url":null,"source":{"id":"https://openalex.org/S4306400787","display_name":"Project Euclid (Cornell University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:figshare.com:article/27776757","doi":null,"is_oa":false,"landing_page_url":"https://figshare.com/articles/preprint/A_comparison_of_spatial_predictors_when_datasets_could_be_very_large/27776757","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:figshare.com:article/27790152","doi":null,"is_oa":false,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_comparison_of_spatial_predictors_when_datasets_could_be_very_large/27790152","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"doi:10.48550/arxiv.1410.7748","doi":"https://doi.org/10.48550/arxiv.1410.7748","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1410.7748","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1214/16-ss115","doi":"https://doi.org/10.1214/16-ss115","is_oa":true,"landing_page_url":"https://doi.org/10.1214/16-ss115","pdf_url":"https://projecteuclid.org/journals/statistics-surveys/volume-10/issue-none/A-comparison-of-spatial-predictors-when-datasets-could-be-very/10.1214/16-SS115.pdf","source":{"id":"https://openalex.org/S147498506","display_name":"Statistics Surveys","issn_l":"1935-7516","issn":["1935-7516"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","poland-140","russia-white-list-1"],"host_organization":"https://openalex.org/P4310315749","host_organization_name":"American Statistical Association","host_organization_lineage":["https://openalex.org/P4310315749"],"host_organization_lineage_names":["American Statistical Association"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics Surveys","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2219276663","display_name":null,"funder_award_id":"NNH11ZDA001N\u2010AIST","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G2291791122","display_name":"Scalable Spectral Methods for Statistical Analysis","funder_award_id":"1308458","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2995233386","display_name":"Inference Based on Pairwise Distance/Dissimilarity Measures","funder_award_id":"1007060","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4237845767","display_name":null,"funder_award_id":"NNH08ZDA001N","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G4519979238","display_name":null,"funder_award_id":"NNH11ZDA001N","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7886868919","display_name":"NCRN-MN:  Improving the Interpretability and Usability of the American Community Survey Through Hierarchical Multiscale Spatio-Temporal Statistical Models","funder_award_id":"1132031","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7959271215","display_name":null,"funder_award_id":"NNH11ZDA001N","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320311508","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1726639901.pdf","grobid_xml":"https://content.openalex.org/works/W1726639901.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W146619314","https://openalex.org/W760619707","https://openalex.org/W1524392826","https://openalex.org/W1529161908","https://openalex.org/W1535538352","https://openalex.org/W1562322033","https://openalex.org/W1836081558","https://openalex.org/W1837874438","https://openalex.org/W1965577080","https://openalex.org/W1980170273","https://openalex.org/W1985026434","https://openalex.org/W1992597527","https://openalex.org/W1995001525","https://openalex.org/W2004807582","https://openalex.org/W2017696952","https://openalex.org/W2024697317","https://openalex.org/W2025720061","https://openalex.org/W2030597423","https://openalex.org/W2031332288","https://openalex.org/W2035698857","https://openalex.org/W2046745272","https://openalex.org/W2049880621","https://openalex.org/W2052077920","https://openalex.org/W2069993596","https://openalex.org/W2074984119","https://openalex.org/W2087714905","https://openalex.org/W2101653832","https://openalex.org/W2104794450","https://openalex.org/W2104849640","https://openalex.org/W2106465720","https://openalex.org/W2124611503","https://openalex.org/W2144898279","https://openalex.org/W2146766088","https://openalex.org/W2267090150","https://openalex.org/W2269456039","https://openalex.org/W2286250368","https://openalex.org/W2347729430","https://openalex.org/W2496675188","https://openalex.org/W2574897711","https://openalex.org/W2579884016","https://openalex.org/W4210300258","https://openalex.org/W4298876635","https://openalex.org/W4301341693"],"related_works":["https://openalex.org/W4319049463","https://openalex.org/W4312588738","https://openalex.org/W4300607042","https://openalex.org/W1999907997","https://openalex.org/W2952573573","https://openalex.org/W2766046132","https://openalex.org/W2093203518","https://openalex.org/W7099296867","https://openalex.org/W1524392826","https://openalex.org/W4367394491"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3,33,45,86],"review":[4],"and":[5,37,66,97,102,126],"compare":[6],"a":[7,60,75,108,141],"number":[8],"of":[9,11,30,111,133,144],"methods":[10],"spatial":[12,24,39,83,104,135],"prediction,":[13],"where":[14],"each":[15,100,134],"method":[16],"is":[17,71,137],"viewed":[18],"as":[19],"an":[20],"algorithm":[21],"that":[22,122],"processes":[23],"data.":[25,147],"To":[26],"demonstrate":[27],"the":[28,91,95,130,145],"breadth":[29],"available":[31],"choices,":[32],"consider":[34],"both":[35],"traditional":[36,47],"more-recently-introduced":[38],"predictors.":[40,84],"Specifically,":[41],"in":[42],"our":[43],"exposition":[44],"review:":[46],"stationary":[48],"kriging,":[49,56],"smoothing":[50],"splines,":[51],"negative-exponential":[52],"distance-weighting,":[53],"fixed":[54],"rank":[55],"modified":[57],"predictive":[58,131],"processes,":[59],"stochastic":[61],"partial":[62],"differential":[63],"equation":[64],"approach,":[65],"lattice":[67],"kriging.":[68],"This":[69],"comparison":[70],"meant":[72],"to":[73,77,80,118],"provide":[74,87],"service":[76],"practitioners":[78],"wishing":[79],"decide":[81],"between":[82],"Hence,":[85],"technical":[88],"material":[89],"for":[90,99],"unfamiliar,":[92],"which":[93],"includes":[94],"definition":[96],"motivation":[98],"(deterministic":[101],"stochastic)":[103],"predictor.":[105],"We":[106],"use":[107],"benchmark":[109],"dataset":[110],"$\\mathrm{CO}_{2}$":[112],"data":[113],"from":[114],"NASA\u2019s":[115],"AIRS":[116,146],"instrument":[117],"address":[119],"computational":[120],"efficiencies":[121],"include":[123],"CPU":[124],"time":[125],"memory":[127],"usage.":[128],"Furthermore,":[129],"performance":[132],"predictor":[136],"assessed":[138],"empirically":[139],"using":[140],"hold-out":[142],"subset":[143]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}