{"id":"https://openalex.org/W2066413733","doi":"https://doi.org/10.4018/ijagr.2014010101","title":"An Experiment to Model Spatial Diffusion Process with Nearest Neighbor Analysis and Regression Estimation","display_name":"An Experiment to Model Spatial Diffusion Process with Nearest Neighbor Analysis and Regression Estimation","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2066413733","doi":"https://doi.org/10.4018/ijagr.2014010101","mag":"2066413733"},"language":"en","primary_location":{"id":"doi:10.4018/ijagr.2014010101","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijagr.2014010101","pdf_url":null,"source":{"id":"https://openalex.org/S23159541","display_name":"International Journal of Applied Geospatial Research","issn_l":"1947-9654","issn":["1947-9654","1947-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Geospatial Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.4018/ijagr.2014010101","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100686650","display_name":"Jay Lee","orcid":"https://orcid.org/0000-0002-8130-182X"},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jay Lee","raw_affiliation_strings":["Kent State University, Kent, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kent State University, Kent, OH, USA","institution_ids":["https://openalex.org/I149910238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009758085","display_name":"Jinn-Guey Lay","orcid":"https://orcid.org/0000-0002-8713-9181"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jinn-Guey Lay","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074389258","display_name":"Wei Chien Benny Chin","orcid":"https://orcid.org/0000-0001-7215-3303"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei Chien Benny Chin","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077063274","display_name":"Yu-Lin Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Lin Chi","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082063197","display_name":"Ya-Hui Hsueh","orcid":"https://orcid.org/0000-0003-1343-1670"},"institutions":[{"id":"https://openalex.org/I34574549","display_name":"National Taichung University of Education","ror":"https://ror.org/006tnfe02","country_code":"TW","type":"education","lineage":["https://openalex.org/I34574549"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ya-Hui Hsueh","raw_affiliation_strings":["National Taichung University of Education, Taichung, Taiwan","[National Taichung University of Education, Taichung, Taiwan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taichung University of Education, Taichung, Taiwan","institution_ids":["https://openalex.org/I34574549"]},{"raw_affiliation_string":"[National Taichung University of Education, Taichung, Taiwan]","institution_ids":["https://openalex.org/I34574549"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100686650"],"corresponding_institution_ids":["https://openalex.org/I149910238"],"apc_list":null,"apc_paid":null,"fwci":4.7083,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95374395,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":"1","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9918000102043152,"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":0.9918000102043152,"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":0.9817000031471252,"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/T10199","display_name":"Wildlife Ecology and Conservation","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.7260802984237671},{"id":"https://openalex.org/keywords/diffusion-process","display_name":"Diffusion process","score":0.5962150692939758},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.561844527721405},{"id":"https://openalex.org/keywords/relocation","display_name":"Relocation","score":0.5517702102661133},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5167357325553894},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5065897703170776},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.4603957533836365},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4523355960845947},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4347860813140869},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.42854586243629456},{"id":"https://openalex.org/keywords/spatial-dependence","display_name":"Spatial dependence","score":0.41906043887138367},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4107034206390381},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3622019588947296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29587090015411377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.295559823513031},{"id":"https://openalex.org/keywords/innovation-diffusion","display_name":"Innovation diffusion","score":0.08630624413490295},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.075722336769104}],"concepts":[{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.7260802984237671},{"id":"https://openalex.org/C68710425","wikidata":"https://www.wikidata.org/wiki/Q5275442","display_name":"Diffusion process","level":3,"score":0.5962150692939758},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.561844527721405},{"id":"https://openalex.org/C2779019381","wikidata":"https://www.wikidata.org/wiki/Q3499564","display_name":"Relocation","level":2,"score":0.5517702102661133},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5167357325553894},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5065897703170776},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.4603957533836365},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4523355960845947},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4347860813140869},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.42854586243629456},{"id":"https://openalex.org/C138695830","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial dependence","level":2,"score":0.41906043887138367},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4107034206390381},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3622019588947296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29587090015411377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.295559823513031},{"id":"https://openalex.org/C3017618536","wikidata":"https://www.wikidata.org/wiki/Q304994","display_name":"Innovation diffusion","level":2,"score":0.08630624413490295},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.075722336769104},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijagr.2014010101","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijagr.2014010101","pdf_url":null,"source":{"id":"https://openalex.org/S23159541","display_name":"International Journal of Applied Geospatial Research","issn_l":"1947-9654","issn":["1947-9654","1947-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Geospatial Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jagr00:v:5:y:2014:i:1:p:1-15","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijagr.2014010101","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":{"id":"doi:10.4018/ijagr.2014010101","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijagr.2014010101","pdf_url":null,"source":{"id":"https://openalex.org/S23159541","display_name":"International Journal of Applied Geospatial Research","issn_l":"1947-9654","issn":["1947-9654","1947-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Geospatial Research","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6399999856948853,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W237088584","https://openalex.org/W583018991","https://openalex.org/W586174689","https://openalex.org/W1229434916","https://openalex.org/W1492301466","https://openalex.org/W1511336021","https://openalex.org/W1522046631","https://openalex.org/W1584062206","https://openalex.org/W1963733439","https://openalex.org/W1965568554","https://openalex.org/W1990620908","https://openalex.org/W2007334176","https://openalex.org/W2010203570","https://openalex.org/W2015501992","https://openalex.org/W2019708320","https://openalex.org/W2021570165","https://openalex.org/W2025174256","https://openalex.org/W2026789820","https://openalex.org/W2040574585","https://openalex.org/W2043684867","https://openalex.org/W2055601403","https://openalex.org/W2061557530","https://openalex.org/W2064669041","https://openalex.org/W2069888879","https://openalex.org/W2073875068","https://openalex.org/W2086269406","https://openalex.org/W2089704572","https://openalex.org/W2104347822","https://openalex.org/W2118898434","https://openalex.org/W2127449278","https://openalex.org/W2156280901","https://openalex.org/W2196714591","https://openalex.org/W2312369134","https://openalex.org/W2314443714","https://openalex.org/W2317058447","https://openalex.org/W2318101075","https://openalex.org/W2323848371","https://openalex.org/W2328413537","https://openalex.org/W2331666997","https://openalex.org/W2467117571","https://openalex.org/W4206419526","https://openalex.org/W4232132792","https://openalex.org/W4233253333","https://openalex.org/W4240960161","https://openalex.org/W4388314575"],"related_works":["https://openalex.org/W2486027828","https://openalex.org/W2380877425","https://openalex.org/W2034964907","https://openalex.org/W2147260044","https://openalex.org/W2365744358","https://openalex.org/W2330526172","https://openalex.org/W2066619073","https://openalex.org/W2386505781","https://openalex.org/W2992703792","https://openalex.org/W2006887720"],"abstract_inverted_index":{"Spatial":[0],"diffusion":[1,71,91,156,174,201,208],"processes":[2,22,157,202],"can":[3],"be":[4],"seen":[5],"in":[6,68,105,198],"many":[7],"geographic":[8,63],"phenomena":[9],"that":[10,60,79,99,185],"spread":[11],"or":[12,65,206],"migrate":[13],"across":[14],"space":[15],"and":[16,85,113],"over":[17,125,194],"time.":[18,126],"Studies":[19],"of":[20,41,54,89,145,152,168,172,190],"these":[21,81,122],"were":[23,43],"mostly":[24],"done":[25],"with":[26,36,51,75],"verbal":[27],"description":[28],"until":[29],"H\u00e4gerstrand":[30],"(1966)":[31],"started":[32],"to":[33,45,83,119,136,158,203],"approach":[34,78,94,162],"it":[35],"quantitative":[37],"models.":[38],"A":[39],"variety":[40],"attempts":[42],"made":[44],"continue":[46],"this":[47,134],"effort,":[48],"but":[49],"only":[50,177],"various":[52],"degrees":[53],"success.":[55],"Recognizing":[56],"the":[57,130,143,166],"critical":[58],"role":[59],"distances":[61,82],"between":[62],"objects":[64],"events":[66],"play":[67],"a":[69,76,96,106],"spatial":[70,90,155,173,200],"process,":[72],"we":[73],"experimented":[74],"new":[77],"uses":[80],"detect":[84],"distinguish":[86],"different":[87,170],"types":[88,171],"processes.":[92,175,209],"Our":[93],"is":[95,163,196],"two-step":[97],"process":[98,108],"first":[100,128],"calculates":[101],"nearest":[102,191],"neighbor":[103,192],"ratios":[104,123,193],"point":[107],"at":[109],"each":[110],"time":[111,195],"step":[112],"then":[114,149],"applies":[115],"regression":[116,188],"curve":[117],"estimation":[118],"observe":[120],"how":[121],"change":[124],"We":[127,148],"report":[129,150],"results":[131,151],"from":[132],"applying":[133],"method":[135],"three":[137],"spatio-temporal":[138],"data":[139],"sets":[140],"which":[141],"show":[142],"feasibility":[144],"our":[146,161,182],"approach.":[147],"randomly":[153],"simulated":[154],"see":[159],"if":[160],"effective":[164],"for":[165],"purpose":[167],"distinguishing":[169],"With":[176],"extreme":[178],"cases":[179],"as":[180],"exceptions,":[181],"experiment":[183],"found":[184],"using":[186],"estimated":[187],"curves":[189],"usable":[197],"classifying":[199],"either":[204],"contagious/expansion":[205],"hierarchical/relocation":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
