{"id":"https://openalex.org/W2757452153","doi":"https://doi.org/10.1109/agro-geoinformatics.2017.8047031","title":"Spatial autocorrelation and its influencing factors of the sampling units in a spatial sampling scheme for crop acreage estimation","display_name":"Spatial autocorrelation and its influencing factors of the sampling units in a spatial sampling scheme for crop acreage estimation","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2757452153","doi":"https://doi.org/10.1109/agro-geoinformatics.2017.8047031","mag":"2757452153"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics.2017.8047031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2017.8047031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 6th International Conference on Agro-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/A5100401449","display_name":"Di Wang","orcid":"https://orcid.org/0000-0002-8452-5351"},"institutions":[{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wang Di","raw_affiliation_strings":["Key Laboratory of Agricultural Remote Sensing, Chinese Academy of Agricultural Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210138501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103668758","display_name":"Qingbo Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Qingbo","raw_affiliation_strings":["Key Laboratory of Agricultural Remote Sensing, Chinese Academy of Agricultural Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210138501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008756","display_name":"Zhongxin Chen","orcid":"https://orcid.org/0009-0004-2148-9367"},"institutions":[{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhongxin","raw_affiliation_strings":["Key Laboratory of Agricultural Remote Sensing, Chinese Academy of Agricultural Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210138501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409639","display_name":"Jia Liu","orcid":"https://orcid.org/0000-0001-6730-3119"},"institutions":[{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Jia","raw_affiliation_strings":["Key Laboratory of Agricultural Remote Sensing, Chinese Academy of Agricultural Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210138501"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100401449"],"corresponding_institution_ids":["https://openalex.org/I4210138501"],"apc_list":null,"apc_paid":null,"fwci":1.1386,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.89818556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14051","display_name":"Regional Economic and Spatial Analysis","score":0.9973999857902527,"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/T14051","display_name":"Regional Economic and Spatial Analysis","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9952999949455261,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.7186715006828308},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.7179407477378845},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.5471048951148987},{"id":"https://openalex.org/keywords/spatial-distribution","display_name":"Spatial distribution","score":0.5177878141403198},{"id":"https://openalex.org/keywords/fragmentation","display_name":"Fragmentation (computing)","score":0.5161067247390747},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4928164780139923},{"id":"https://openalex.org/keywords/spatial-ecology","display_name":"Spatial ecology","score":0.45735493302345276},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.44733864068984985},{"id":"https://openalex.org/keywords/sampling-design","display_name":"Sampling design","score":0.4471625089645386},{"id":"https://openalex.org/keywords/common-spatial-pattern","display_name":"Common spatial pattern","score":0.4433914124965668},{"id":"https://openalex.org/keywords/systematic-sampling","display_name":"Systematic sampling","score":0.4124966561794281},{"id":"https://openalex.org/keywords/stratified-sampling","display_name":"Stratified sampling","score":0.4100351631641388},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4093547463417053},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.39025387167930603},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32431209087371826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2929067015647888},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.24334430694580078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.16665926575660706},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.08163809776306152}],"concepts":[{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.7186715006828308},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7179407477378845},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.5471048951148987},{"id":"https://openalex.org/C2777016058","wikidata":"https://www.wikidata.org/wiki/Q7574061","display_name":"Spatial distribution","level":2,"score":0.5177878141403198},{"id":"https://openalex.org/C191015642","wikidata":"https://www.wikidata.org/wiki/Q1132459","display_name":"Fragmentation (computing)","level":2,"score":0.5161067247390747},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4928164780139923},{"id":"https://openalex.org/C158709400","wikidata":"https://www.wikidata.org/wiki/Q3578586","display_name":"Spatial ecology","level":2,"score":0.45735493302345276},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.44733864068984985},{"id":"https://openalex.org/C75373757","wikidata":"https://www.wikidata.org/wiki/Q7410160","display_name":"Sampling design","level":3,"score":0.4471625089645386},{"id":"https://openalex.org/C173727882","wikidata":"https://www.wikidata.org/wiki/Q5153620","display_name":"Common spatial pattern","level":2,"score":0.4433914124965668},{"id":"https://openalex.org/C192489979","wikidata":"https://www.wikidata.org/wiki/Q1502997","display_name":"Systematic sampling","level":2,"score":0.4124966561794281},{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.4100351631641388},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4093547463417053},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.39025387167930603},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32431209087371826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2929067015647888},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.24334430694580078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.16665926575660706},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.08163809776306152},{"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/agro-geoinformatics.2017.8047031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2017.8047031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 6th International Conference on Agro-Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1006024184","https://openalex.org/W1980340871","https://openalex.org/W2028226037","https://openalex.org/W2031113870","https://openalex.org/W2037902927","https://openalex.org/W2042812801","https://openalex.org/W2080537762","https://openalex.org/W2101299555","https://openalex.org/W2110608012","https://openalex.org/W2114088565","https://openalex.org/W2115650663","https://openalex.org/W2142277895","https://openalex.org/W2155475871","https://openalex.org/W2300758274","https://openalex.org/W4211131047","https://openalex.org/W4232197345","https://openalex.org/W4252093526"],"related_works":["https://openalex.org/W2737546930","https://openalex.org/W2322994712","https://openalex.org/W4238714840","https://openalex.org/W2030242346","https://openalex.org/W1973014029","https://openalex.org/W2772881636","https://openalex.org/W1969976536","https://openalex.org/W415618860","https://openalex.org/W2383809451","https://openalex.org/W2735331581"],"abstract_inverted_index":{"One":[0],"important":[1,37],"feature":[2],"of":[3,31,42,49,66,99,204,220,227,247,255,329],"geography":[4],"phenomenon":[5],"or":[6,348],"spatial":[7,14,21,29,58,107,202,208,218,241,253,279,326,382,456],"object":[8,98],"is":[9,102,166,180,275,353,375,388,392,407,419],"that":[10,135,251,294,324,390],"there":[11,391],"exists":[12],"the":[13,28,32,40,43,47,50,54,86,106,111,120,137,153,176,183,194,217,221,225,228,240,252,261,295,315,325,330,356,360,372,378,381,386,401,411,415,424,443],"autocorrelation":[15,30,59,209,280,457],"between":[16,110,305],"them.":[17],"As":[18],"for":[19,24,89,114,286,364,435,446],"a":[20,64,94,201,276,437,454],"sampling":[22,33,44,51,87,112,123,222,229,262,284,316,331,362,403,417,439],"scheme":[23,45,363,440],"crop":[25,91,115,127,232,345,447],"acreage":[26,116,290,312,368,448],"estimation,":[27,291],"units":[34,113,285,332],"has":[35],"an":[36,394],"effect":[38],"on":[39,57,139,239],"design":[41],"and":[46,74,118,132,171,174,190,224,257,288,309,366,441],"improvement":[48],"efficiency.":[52],"While":[53],"related":[55],"researches":[56],"have":[60,82,136],"been":[61,83],"found":[62,281,323,389],"in":[63,146,188,333,359,385,450],"variety":[65],"subject":[67],"areas":[68,452],"like":[69],"ecology,":[70],"hydrology,":[71],"soil,":[72],"forestry":[73],"so":[75,78],"on,":[76],"however,":[77],"far,":[79],"little":[80],"attentions":[81],"paid":[84],"to":[85,103,168,215,272,293,300,342],"survey":[88,444],"estimating":[90],"area":[92,173],"at":[93],"regional":[95],"scale.":[96],"The":[97,206,245,302],"this":[100,142,248,427,429],"study":[101,154,249,430],"quantitatively":[104],"evaluate":[105,216],"correlation":[108,219,242,254,303,327,383],"characteristics":[109],"investigation,":[117],"analyze":[119],"factors":[121],"(e.g.":[122],"unit":[124,230,263,317,404,418],"size,":[125,231],"shape,":[126],"cultivated":[128,177,235,349],"abundance,":[129,234],"cropland":[130],"slope":[131,192,374],"fragmentation":[133,237,351],"index)":[134],"impact":[138,226],"it.":[140],"In":[141,397,426],"study,":[143],"Dehui":[144],"County":[145],"Jilin":[147],"Province,":[148],"China":[149,189],"was":[150,213,243],"selected":[151,354,376],"as":[152,355,377],"area.":[155],"Systeme":[156],"Probatoire":[157],"d'Oberservation":[158],"de":[159],"la":[160],"Terre":[161],"(SPOT5)":[162],"imagery":[163],"from":[164,182,193,270,298,414],"2009":[165],"used":[167],"extract":[169],"maize":[170,256,287,365],"rice":[172,258,289,311,367],"distribution,":[175],"land":[178,191,236,308,350,373],"map":[179],"derived":[181],"Second":[184],"National":[185],"Land":[186],"Survey":[187],"Digital":[195],"Elevation":[196],"Model":[197],"(DEM)":[198],"data":[199],"with":[200,260,314,400,453],"resolution":[203],"30m.":[205],"global":[207],"index":[210,238,352],"(Moran's":[211],"I)":[212],"employed":[214],"units,":[223],"planting":[233,346],"analyzed.":[244],"results":[246],"show":[250],"decreases":[259],"size":[264],"increasing,":[265],"accordingly,":[266],"Moran's":[267,412],"I":[268,413],"vary":[269],"0.50":[271],"0.90.":[273],"There":[274],"high":[277,455],"significant":[278],"among":[282],"those":[283,451],"due":[292],"Z-Score":[296],"varies":[297],"10":[299],"1000.":[301],"coefficients":[304],"dryland,":[306],"paddy":[307],"maize,":[310],"increase":[313],"size.":[318],"It":[319],"can":[320,336,431],"be":[321,337],"also":[322],"degree":[328,384],"each":[334],"stratum":[335],"significantly":[338],"reduced,":[339],"even":[340],"nearly":[341],"zero,":[343],"when":[344,371],"abundance":[347],"stratification":[357,379],"criterion":[358],"stratified":[361],"estimation.":[369],"However,":[370],"criterion,":[380],"strata":[387],"no":[393],"obvious":[395],"reduction.":[396],"addition,":[398],"compared":[399],"irregular":[402],"shape":[405],"(that":[406],"township":[408],"administrative":[409],"boundary),":[410],"square":[416],"average":[420],"10%":[421],"more":[422],"than":[423],"former.":[425],"way,":[428],"provide":[432],"some":[433],"approaches":[434],"formulating":[436],"reasonable":[438],"improving":[442],"efficiency":[445],"estimation":[449],"feature.":[458]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
