{"id":"https://openalex.org/W4289745196","doi":"https://doi.org/10.1002/env.2750","title":"From model selection to maps: A completely design\u2010based data\u2010driven inference for mapping forest resources","display_name":"From model selection to maps: A completely design\u2010based data\u2010driven inference for mapping forest resources","publication_year":2022,"publication_date":"2022-08-04","ids":{"openalex":"https://openalex.org/W4289745196","doi":"https://doi.org/10.1002/env.2750"},"language":"en","primary_location":{"id":"doi:10.1002/env.2750","doi":"https://doi.org/10.1002/env.2750","is_oa":false,"landing_page_url":"https://doi.org/10.1002/env.2750","pdf_url":null,"source":{"id":"https://openalex.org/S17114410","display_name":"Environmetrics","issn_l":"1099-095X","issn":["1099-095X","1180-4009"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-2","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Environmetrics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2067/48499","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090416682","display_name":"Rosa Maria Di Biase","orcid":"https://orcid.org/0000-0002-8038-9217","observed_orcids":["https://orcid.org/0000-0002-8038-9217"]},"institutions":[{"id":"https://openalex.org/I4210115334","display_name":"Forestry Research Centre","ror":"https://ror.org/02a2x5r26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115334","https://openalex.org/I4210125105"]},{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Rosa Maria Di Biase","raw_affiliation_strings":["CREA Research Center for Forestry and Wood  Arezzo Italy","Department of Sociology and Social Research University of Milano Bicocca  Milan Italy"],"raw_orcid":"https://orcid.org/0000-0002-8038-9217","affiliations":[{"raw_affiliation_string":"CREA Research Center for Forestry and Wood  Arezzo Italy","institution_ids":["https://openalex.org/I4210115334"]},{"raw_affiliation_string":"Department of Sociology and Social Research University of Milano Bicocca  Milan Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102927311","display_name":"Lorenzo Fattorini","orcid":"https://orcid.org/0000-0003-0931-9651","observed_orcids":["https://orcid.org/0000-0003-0931-9651"]},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Fattorini","raw_affiliation_strings":["Department of Economics and Statistics University of Siena  Siena Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economics and Statistics University of Siena  Siena Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020894675","display_name":"Sara Franceschi","orcid":"https://orcid.org/0000-0001-6675-4540","observed_orcids":["https://orcid.org/0000-0001-6675-4540"]},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sara Franceschi","raw_affiliation_strings":["Department of Economics and Statistics University of Siena  Siena Italy"],"raw_orcid":"https://orcid.org/0000-0001-6675-4540","affiliations":[{"raw_affiliation_string":"Department of Economics and Statistics University of Siena  Siena Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027939320","display_name":"Mirko Grotti","orcid":"https://orcid.org/0000-0003-2083-7257","observed_orcids":["https://orcid.org/0000-0003-2083-7257"]},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mirko Grotti","raw_affiliation_strings":["Department of Architecture and Design University of Rome La Sapienza  Rome Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Architecture and Design University of Rome La Sapienza  Rome Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073962337","display_name":"Nicola Puletti","orcid":"https://orcid.org/0000-0002-2142-959X","observed_orcids":["https://orcid.org/0000-0002-2142-959X"]},"institutions":[{"id":"https://openalex.org/I4210115334","display_name":"Forestry Research Centre","ror":"https://ror.org/02a2x5r26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115334","https://openalex.org/I4210125105"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Puletti","raw_affiliation_strings":["CREA Research Center for Forestry and Wood  Arezzo Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CREA Research Center for Forestry and Wood  Arezzo Italy","institution_ids":["https://openalex.org/I4210115334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072756245","display_name":"Piermaria Corona","orcid":"https://orcid.org/0000-0002-8105-0792","observed_orcids":["https://orcid.org/0000-0002-8105-0792"]},"institutions":[{"id":"https://openalex.org/I4210115334","display_name":"Forestry Research Centre","ror":"https://ror.org/02a2x5r26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115334","https://openalex.org/I4210125105"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Piermaria Corona","raw_affiliation_strings":["CREA Research Center for Forestry and Wood  Arezzo Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CREA Research Center for Forestry and Wood  Arezzo Italy","institution_ids":["https://openalex.org/I4210115334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090416682"],"corresponding_institution_ids":["https://openalex.org/I4210115334","https://openalex.org/I66752286"],"apc_list":{"value":4200,"currency":"USD","value_usd":4200},"apc_paid":null,"fwci":1.5632,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84080322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"33","issue":"7","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.28540000319480896,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.28540000319480896,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.2070000022649765,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.19699999690055847,"subfield":{"id":"https://openalex.org/subfields/1107","display_name":"Forestry"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/forest-resource-mapping","display_name":"forest resource mapping","score":0.859000027179718},{"id":"https://openalex.org/keywords/model-selection","display_name":"model selection","score":0.8820000290870667},{"id":"https://openalex.org/keywords/auxiliary-variables","display_name":"auxiliary variables","score":0.7860000133514404},{"id":"https://openalex.org/keywords/least-squares-estimation","display_name":"least squares estimation","score":0.6919999718666077},{"id":"https://openalex.org/keywords/inverse-distance-weighting","display_name":"inverse distance weighting","score":0.7870000004768372},{"id":"https://openalex.org/keywords/spatial-interpolation","display_name":"spatial interpolation","score":0.753000020980835},{"id":"https://openalex.org/keywords/leave-one-out-cross-validation","display_name":"leave-one-out cross-validation","score":0.8690000176429749},{"id":"https://openalex.org/keywords/bandwidth-selection","display_name":"bandwidth selection","score":0.8029999732971191},{"id":"https://openalex.org/keywords/density-estimation","display_name":"density estimation","score":0.7749999761581421},{"id":"https://openalex.org/keywords/bootstrap-uncertainty","display_name":"bootstrap uncertainty","score":0.5649999976158142},{"id":"https://openalex.org/keywords/forest-inventory","display_name":"forest inventory","score":0.4000000059604645}],"concepts":[{"id":"https://openalex.org/C47872207","wikidata":"https://www.wikidata.org/wiki/Q1430701","display_name":"Inverse distance weighting","level":4,"score":0.6119765639305115},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6118737459182739},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5666333436965942},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5262390971183777},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5197529196739197},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5057127475738525},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.504869282245636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49842190742492676},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.45251914858818054},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.42700421810150146},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.423836886882782},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.42038092017173767},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3948882818222046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37485262751579285},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.15932849049568176},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1002/env.2750","doi":"https://doi.org/10.1002/env.2750","is_oa":false,"landing_page_url":"https://doi.org/10.1002/env.2750","pdf_url":null,"source":{"id":"https://openalex.org/S17114410","display_name":"Environmetrics","issn_l":"1099-095X","issn":["1099-095X","1180-4009"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-2","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Environmetrics","raw_type":"journal-article"},{"id":"pmh:oai:boa.unimib.it:10281/389454","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10281/389454","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"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":"info:eu-repo/semantics/article"},{"id":"pmh:oai:dspace.unitus.it:2067/48499","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2067/48499","pdf_url":null,"source":{"id":"https://openalex.org/S4377196492","display_name":"UnitusOpen (Tuscia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I138938424","host_organization_name":"Universit\u00e0 degli Studi della Tuscia","host_organization_lineage":["https://openalex.org/I138938424"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:usiena-air.unisi.it:11365/1215554","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/11365/1215554","pdf_url":null,"source":{"id":"https://openalex.org/S4377196319","display_name":"Use Siena air (University of Siena)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I102064193","host_organization_name":"University of Siena","host_organization_lineage":["https://openalex.org/I102064193"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:dspace.unitus.it:2067/48499","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2067/48499","pdf_url":null,"source":{"id":"https://openalex.org/S4377196492","display_name":"UnitusOpen (Tuscia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I138938424","host_organization_name":"Universit\u00e0 degli Studi della Tuscia","host_organization_lineage":["https://openalex.org/I138938424"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Life on land","id":"https://metadata.un.org/sdg/15","score":0.8518999814987183}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W76844778","https://openalex.org/W1812669593","https://openalex.org/W1967994886","https://openalex.org/W1973749534","https://openalex.org/W1997732436","https://openalex.org/W2004349386","https://openalex.org/W2008164072","https://openalex.org/W2011013810","https://openalex.org/W2017977879","https://openalex.org/W2021474216","https://openalex.org/W2026662763","https://openalex.org/W2029685080","https://openalex.org/W2033003748","https://openalex.org/W2057911252","https://openalex.org/W2066583279","https://openalex.org/W2067972073","https://openalex.org/W2072368130","https://openalex.org/W2074345332","https://openalex.org/W2090292273","https://openalex.org/W2100200662","https://openalex.org/W2109758583","https://openalex.org/W2150018799","https://openalex.org/W2332725581","https://openalex.org/W2342272190","https://openalex.org/W2496675188","https://openalex.org/W2498260651","https://openalex.org/W2572974196","https://openalex.org/W2613889334","https://openalex.org/W2797912756","https://openalex.org/W2889784734","https://openalex.org/W2934121071","https://openalex.org/W2979029774","https://openalex.org/W2982299077","https://openalex.org/W2997162401","https://openalex.org/W3137160131","https://openalex.org/W3166097421","https://openalex.org/W4205318552","https://openalex.org/W4213267993","https://openalex.org/W4245150231","https://openalex.org/W4253022806","https://openalex.org/W4253820701"],"related_works":["https://openalex.org/W6999449239","https://openalex.org/W2905742265","https://openalex.org/W3037835446","https://openalex.org/W4412195024","https://openalex.org/W3094064400","https://openalex.org/W2415671264","https://openalex.org/W2133746880","https://openalex.org/W2896523635","https://openalex.org/W2071251785","https://openalex.org/W7116710745"],"abstract_inverted_index":{"Abstract":[0],"A":[1,140,158],"completely":[2],"data\u2010driven,":[3],"design\u2010based":[4],"sampling":[5],"strategy":[6,151],"is":[7,28,65,76,152,161,179],"proposed":[8],"for":[9,38,78,84,144,166],"mapping":[10,167],"a":[11,19,26,47,51],"forest":[12,173],"attribute":[13,41],"within":[14,44,93,138],"the":[15,40,80,89,110,114,119,124,129,132,135,145,150,172],"spatial":[16,57],"units":[17,45,94],"tessellating":[18],"survey":[20,115],"region.":[21],"Based":[22],"on":[23],"sample":[24],"data,":[25],"model":[27,31,63],"selected,":[29],"and":[30,100,163],"parameters":[32],"are":[33,95,106],"estimated":[34,96],"using":[35],"least\u2010squares":[36],"criteria":[37],"predicting":[39],"of":[42,50,53,59,88,91,134,149,175],"interest":[43,92],"as":[46,131],"linear":[48],"function":[49],"set":[52],"auxiliary":[54],"variables.":[55],"The":[56,71,86,147],"interpolation":[58],"residuals":[60],"arising":[61],"from":[62,128],"predictions":[64,99],"performed":[66,162],"by":[67,97,118,154],"inverse":[68],"distance":[69],"weighting.":[70],"leave\u2010one\u2010out":[72],"cross":[73],"validation":[74],"procedure":[75,142],"adopted":[77],"selecting":[79],"smoothing":[81],"parameter":[82],"used":[83],"interpolation.":[85],"densities":[87,170],"attributes":[90],"summing":[98],"interpolated":[101],"residuals.":[102],"Finally,":[103],"density":[104,136],"estimates":[105,137],"rescaled":[107],"to":[108],"match":[109],"total":[111,125],"estimate":[112,126],"over":[113],"region":[116],"obtained":[117,127],"traditional":[120],"regression":[121],"estimator":[122],"with":[123],"map":[130],"sum":[133],"units.":[139],"bootstrap":[141],"accounts":[143],"uncertainty.":[146],"consistency":[148],"proven":[153],"incorporating":[155],"previous":[156],"results.":[157],"simulation":[159],"study":[160],"an":[164],"application":[165],"wood":[168],"volume":[169],"in":[171],"estate":[174],"Rincine":[176],"(Central":[177],"Italy)":[178],"described.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-08-04T00:00:00"}