{"id":"https://openalex.org/W4205766051","doi":"https://doi.org/10.3390/rs14020279","title":"On the Scale Effect of Relationship Identification between Land Surface Temperature and 3D Landscape Pattern: The Application of Random Forest","display_name":"On the Scale Effect of Relationship Identification between Land Surface Temperature and 3D Landscape Pattern: The Application of Random Forest","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4205766051","doi":"https://doi.org/10.3390/rs14020279"},"language":"en","primary_location":{"id":"doi:10.3390/rs14020279","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020279","pdf_url":"https://www.mdpi.com/2072-4292/14/2/279/pdf?version=1642403765","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/2/279/pdf?version=1642403765","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026122197","display_name":"Qiong Wu","orcid":"https://orcid.org/0000-0002-7182-6702"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Wu","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun 130021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130021, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014213647","display_name":"Zhaoyi Li","orcid":"https://orcid.org/0000-0002-9677-2368"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyi Li","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun 130021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130021, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034462511","display_name":"Changbao Yang","orcid":"https://orcid.org/0000-0003-4793-4874"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changbao Yang","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun 130021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130021, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009946812","display_name":"Li HongQing","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongqing Li","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun 130021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130021, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100954785","display_name":"Liwei Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liwei Gong","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun 130021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130021, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079896286","display_name":"Fengxiang Guo","orcid":"https://orcid.org/0000-0002-2250-4977"},"institutions":[{"id":"https://openalex.org/I137479271","display_name":"Helmholtz Centre for Environmental Research","ror":"https://ror.org/000h6jb29","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I137479271"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fengxiang Guo","raw_affiliation_strings":["Department of Urban and Environmental Sociology, Helmholtz Centre for Environmental Research-UFZ, Permoserstra\u00dfe 15, D-04318 Leipzig, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2250-4977","affiliations":[{"raw_affiliation_string":"Department of Urban and Environmental Sociology, Helmholtz Centre for Environmental Research-UFZ, Permoserstra\u00dfe 15, D-04318 Leipzig, Germany","institution_ids":["https://openalex.org/I137479271"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5034462511"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.1166,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.9173137,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"14","issue":"2","first_page":"279","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998999834060669,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9973000288009644,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.723701536655426},{"id":"https://openalex.org/keywords/impervious-surface","display_name":"Impervious surface","score":0.6836371421813965},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.5568472146987915},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5547397136688232},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5377343893051147},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.5049119591712952},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4803220331668854},{"id":"https://openalex.org/keywords/urban-heat-island","display_name":"Urban heat island","score":0.45801132917404175},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.43264830112457275},{"id":"https://openalex.org/keywords/urbanization","display_name":"Urbanization","score":0.4227822721004486},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.42181113362312317},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.35310184955596924},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20437291264533997},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.1800057291984558},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.15869924426078796},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.13784578442573547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1367117464542389},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13484817743301392}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.723701536655426},{"id":"https://openalex.org/C2668921","wikidata":"https://www.wikidata.org/wiki/Q1434713","display_name":"Impervious surface","level":2,"score":0.6836371421813965},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.5568472146987915},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5547397136688232},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5377343893051147},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.5049119591712952},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4803220331668854},{"id":"https://openalex.org/C54005896","wikidata":"https://www.wikidata.org/wiki/Q215712","display_name":"Urban heat island","level":2,"score":0.45801132917404175},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.43264830112457275},{"id":"https://openalex.org/C39853841","wikidata":"https://www.wikidata.org/wiki/Q161078","display_name":"Urbanization","level":2,"score":0.4227822721004486},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.42181113362312317},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.35310184955596924},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20437291264533997},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.1800057291984558},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.15869924426078796},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.13784578442573547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1367117464542389},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13484817743301392},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14020279","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020279","pdf_url":"https://www.mdpi.com/2072-4292/14/2/279/pdf?version=1642403765","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5c0f98817773433bb2cb31132e15df10","is_oa":true,"landing_page_url":"https://doaj.org/article/5c0f98817773433bb2cb31132e15df10","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 2, p 279 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/2/279/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14020279","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14020279","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020279","pdf_url":"https://www.mdpi.com/2072-4292/14/2/279/pdf?version=1642403765","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4700328094","display_name":null,"funder_award_id":"2020YFA0714103","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8826594543","display_name":null,"funder_award_id":"No. 2020YFA0714103","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205766051.pdf","grobid_xml":"https://content.openalex.org/works/W4205766051.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1499492593","https://openalex.org/W1964805252","https://openalex.org/W1972752441","https://openalex.org/W1984811700","https://openalex.org/W1990793870","https://openalex.org/W1997383225","https://openalex.org/W2004013978","https://openalex.org/W2006449467","https://openalex.org/W2009696208","https://openalex.org/W2013497870","https://openalex.org/W2015861670","https://openalex.org/W2018627383","https://openalex.org/W2040482799","https://openalex.org/W2050263501","https://openalex.org/W2056968363","https://openalex.org/W2061798849","https://openalex.org/W2070068586","https://openalex.org/W2081629992","https://openalex.org/W2102182928","https://openalex.org/W2112662635","https://openalex.org/W2115746287","https://openalex.org/W2121685929","https://openalex.org/W2127437631","https://openalex.org/W2127877321","https://openalex.org/W2153189519","https://openalex.org/W2154180993","https://openalex.org/W2159934232","https://openalex.org/W2193980439","https://openalex.org/W2301692565","https://openalex.org/W2335083030","https://openalex.org/W2353998493","https://openalex.org/W2379601929","https://openalex.org/W2392821157","https://openalex.org/W2606227303","https://openalex.org/W2610577002","https://openalex.org/W2626218632","https://openalex.org/W2753822254","https://openalex.org/W2911964244","https://openalex.org/W2941529264","https://openalex.org/W2944563459","https://openalex.org/W2986762838","https://openalex.org/W2989081755","https://openalex.org/W2996190939","https://openalex.org/W3006512337","https://openalex.org/W3014952174","https://openalex.org/W3016544034","https://openalex.org/W3033371505","https://openalex.org/W3094044388","https://openalex.org/W3126831744","https://openalex.org/W3142851512","https://openalex.org/W3181696877","https://openalex.org/W3185989864","https://openalex.org/W3198907813","https://openalex.org/W3200830706","https://openalex.org/W3202113811","https://openalex.org/W3207080327","https://openalex.org/W3208552552","https://openalex.org/W3209059809","https://openalex.org/W3212926479","https://openalex.org/W3214935987","https://openalex.org/W3216079496","https://openalex.org/W4200241259","https://openalex.org/W4212883601","https://openalex.org/W4294940931","https://openalex.org/W4300743823","https://openalex.org/W6631841644","https://openalex.org/W6649784804","https://openalex.org/W6703007479","https://openalex.org/W6804764738"],"related_works":["https://openalex.org/W2738109983","https://openalex.org/W2364341326","https://openalex.org/W3085738175","https://openalex.org/W2955540711","https://openalex.org/W4312597546","https://openalex.org/W3037036094","https://openalex.org/W2990560633","https://openalex.org/W1539205971","https://openalex.org/W2910017819","https://openalex.org/W1194302957"],"abstract_inverted_index":{"Urbanization":[0],"processes":[1],"greatly":[2],"change":[3,147,174],"urban":[4,9,251,326,335],"landscape":[5,23,72,117,129,133,157,177,195,297,312],"patterns":[6,73],"and":[7,22,44,48,74,84,103,131,135,155,188,192,252,260,269,283,314,328],"the":[8,17,31,39,51,98,106,109,127,142,146,156,162,168,171,176,184,189,201,204,211,214,239,245,301,307,310,333],"thermal":[10],"environment.":[11],"Significant":[12],"multi-scale":[13,67,151],"correlation":[14,53,193],"exists":[15],"between":[16,54,70,153,241,250,309],"land":[18,278],"surface":[19,279],"temperature":[20],"(LST)":[21],"pattern.":[24],"Compared":[25],"with":[26,200],"traditional":[27],"linear":[28,52],"regression":[29,32,55],"methods,":[30],"model":[33],"based":[34],"on":[35,119,175,197,277],"random":[36],"forest":[37],"has":[38],"advantages":[40],"of":[41,101,115,126,148,166,170,173,183,194,247,288,296],"higher":[42],"accuracy":[43],"better":[45,275],"learning":[46],"ability,":[47],"can":[49,255,262],"remove":[50],"features.":[56],"Taking":[57],"Beijing\u2019s":[58],"metropolitan":[59],"area":[60,100],"as":[61],"an":[62],"example,":[63],"this":[64],"paper":[65],"conducted":[66],"relationship":[68,152,308],"analysis":[69],"3D":[71,116,132,311],"LST":[75,93,120,154,198,227,315],"using":[76],"Pearson":[77],"Correlation":[78],"Coefficient":[79],"(PCC),":[80],"Multiple":[81],"Linear":[82],"Regression":[83,87],"Random":[85],"Forest":[86],"(RFR).":[88],"The":[89,112,150,286],"results":[90,295],"indicated":[91],"that":[92,125,182,237,300],"was":[94,121,159],"relatively":[95],"high":[96],"in":[97,145,161,203],"central":[99],"Beijing,":[102,167],"decreased":[104],"from":[105],"center":[107],"to":[108,225,243,331],"surrounding":[110],"areas.":[111,234],"interpretation":[113,190],"effect":[114,169,191,276],"metrics":[118,144,196,298],"more":[122,138,223],"obvious":[123],"than":[124,141,181,228,281],"2D":[128],"metrics,":[130],"diversity":[134],"evenness":[136],"played":[137],"important":[139],"roles":[140],"other":[143],"LST.":[149,258],"pattern":[158,178,313],"discovered":[160],"fourth":[163],"ring":[164],"road":[165],"extent":[172],"is":[179,316,322],"greater":[180],"grain":[185],"size":[186,304],"change,":[187],"increase":[199,202,226],"rectangle":[205,303],"size.":[206],"Impervious":[207],"surfaces":[208,216],"significantly":[209],"increased":[210],"LST,":[212,265],"while":[213],"impervious":[215],"located":[217,230],"at":[218,231],"low":[219],"building":[220,233],"areas":[221,254],"were":[222],"likely":[224],"those":[229],"tall":[232],"It":[235],"seems":[236],"increasing":[238],"distance":[240],"buildings":[242],"improve":[244],"rate":[246],"energy":[248],"exchange":[249],"rural":[253],"effectively":[256,263],"decrease":[257],"Vegetation":[259],"water":[261],"reduce":[264],"but":[266],"large,":[267],"clustered":[268],"irregularly":[270],"shaped":[271],"patches":[272],"have":[273],"a":[274],"cooling":[280],"small":[282],"discrete":[284],"patches.":[285],"Coefficients":[287],"Rectangle":[289],"Variation":[290],"(CORV)":[291],"power":[292],"function":[293],"fitting":[294],"showed":[299],"optimal":[302],"for":[305,324],"studying":[306],"about":[317],"700":[318],"m.":[319],"Our":[320],"study":[321],"useful":[323],"future":[325],"planning":[327],"provides":[329],"references":[330],"mitigate":[332],"daytime":[334],"heat":[336],"island":[337],"(UHI)":[338],"effect.":[339]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}