{"id":"https://openalex.org/W2983876503","doi":"https://doi.org/10.1080/13658816.2019.1687898","title":"Using a maximum entropy model to optimize the stochastic component of urban cellular automata models","display_name":"Using a maximum entropy model to optimize the stochastic component of urban cellular automata models","publication_year":2019,"publication_date":"2019-11-11","ids":{"openalex":"https://openalex.org/W2983876503","doi":"https://doi.org/10.1080/13658816.2019.1687898","mag":"2983876503"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2019.1687898","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2019.1687898","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-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/A5003126304","display_name":"Haijun Wang","orcid":"https://orcid.org/0000-0001-9999-2430"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijun Wang","raw_affiliation_strings":["Key Laboratory of Geographic Information System of MOE, Wuhan University, Wuhan, China","School of Resource and Environmental Sciences, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information System of MOE, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Resource and Environmental Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055136222","display_name":"Bin Zhang","orcid":"https://orcid.org/0000-0003-3328-4233"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Zhang","raw_affiliation_strings":["School of Resource and Environmental Sciences, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1461-660X","affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030925755","display_name":"Chang Xia","orcid":"https://orcid.org/0000-0001-9797-6381"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chang Xia","raw_affiliation_strings":["Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-9797-6381","affiliations":[{"raw_affiliation_string":"Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103325852","display_name":"Sanwei He","orcid":"https://orcid.org/0000-0003-4631-7794"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanwei He","raw_affiliation_strings":["School of Public Administration, Zhongnan University of Economics and Law, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Administration, Zhongnan University of Economics and Law, Wuhan, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110425316","display_name":"Wenting Zhang","orcid":"https://orcid.org/0000-0001-9219-7688"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenting Zhang","raw_affiliation_strings":["College of Resources and Environment, Huazhong Agricultural University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, Huazhong Agricultural University, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055136222"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":2.3641,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.88526358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"34","issue":"5","first_page":"924","last_page":"946"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9991999864578247,"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":0.9269999861717224,"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"}},{"id":"https://openalex.org/T12325","display_name":"Urban Design and Spatial Analysis","score":0.9254999756813049,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.7523476481437683},{"id":"https://openalex.org/keywords/stochastic-modelling","display_name":"Stochastic modelling","score":0.4915643632411957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4588398039340973},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4523355960845947},{"id":"https://openalex.org/keywords/cellular-automaton","display_name":"Cellular automaton","score":0.44544991850852966},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4399496614933014},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4299103319644928},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.42920345067977905},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.410788357257843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3723621368408203},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35297244787216187},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3221168518066406},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30911576747894287},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19490298628807068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11309990286827087},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08111834526062012}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.7523476481437683},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.4915643632411957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4588398039340973},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4523355960845947},{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.44544991850852966},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4399496614933014},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4299103319644928},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.42920345067977905},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.410788357257843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3723621368408203},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35297244787216187},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3221168518066406},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30911576747894287},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19490298628807068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11309990286827087},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08111834526062012},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2019.1687898","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2019.1687898","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5191211581","display_name":null,"funder_award_id":"41571384","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W370179738","https://openalex.org/W1162363104","https://openalex.org/W1630768198","https://openalex.org/W1879119587","https://openalex.org/W1973749534","https://openalex.org/W1973836017","https://openalex.org/W1995875735","https://openalex.org/W1997172249","https://openalex.org/W1999829841","https://openalex.org/W2000780794","https://openalex.org/W2003652094","https://openalex.org/W2011558998","https://openalex.org/W2018490621","https://openalex.org/W2019543400","https://openalex.org/W2025406778","https://openalex.org/W2029215722","https://openalex.org/W2032558547","https://openalex.org/W2032568597","https://openalex.org/W2033196598","https://openalex.org/W2033686454","https://openalex.org/W2038864707","https://openalex.org/W2042415316","https://openalex.org/W2044326169","https://openalex.org/W2052615516","https://openalex.org/W2053523354","https://openalex.org/W2067117278","https://openalex.org/W2067635458","https://openalex.org/W2072099952","https://openalex.org/W2072569462","https://openalex.org/W2077988168","https://openalex.org/W2082723369","https://openalex.org/W2088307989","https://openalex.org/W2091115745","https://openalex.org/W2094119807","https://openalex.org/W2095160972","https://openalex.org/W2106084229","https://openalex.org/W2113115392","https://openalex.org/W2121783226","https://openalex.org/W2132930619","https://openalex.org/W2139416101","https://openalex.org/W2157528778","https://openalex.org/W2162710279","https://openalex.org/W2171730709","https://openalex.org/W2192545109","https://openalex.org/W2214183319","https://openalex.org/W2336037340","https://openalex.org/W2417519871","https://openalex.org/W2514603923","https://openalex.org/W2552621682","https://openalex.org/W2567650109","https://openalex.org/W2580095448","https://openalex.org/W2594563947","https://openalex.org/W2610910304","https://openalex.org/W2737817650","https://openalex.org/W2763123824","https://openalex.org/W2767066175","https://openalex.org/W2782864576","https://openalex.org/W2789565606","https://openalex.org/W2805365628","https://openalex.org/W2885359063","https://openalex.org/W2894734242","https://openalex.org/W2917749783","https://openalex.org/W3102787191","https://openalex.org/W3103643813","https://openalex.org/W4285719527","https://openalex.org/W7005362936"],"related_works":["https://openalex.org/W2970690932","https://openalex.org/W2110715801","https://openalex.org/W4224283474","https://openalex.org/W2802195805","https://openalex.org/W4294992859","https://openalex.org/W2603686330","https://openalex.org/W2539292572","https://openalex.org/W2263756153","https://openalex.org/W2174407720","https://openalex.org/W2363611634"],"abstract_inverted_index":{"The":[0,119,152],"stochastic":[1,27,57,79,143,168],"perturbation":[2,80],"of":[3,19,46,59,67,77,91,100,114,131,133],"urban":[4,61],"cellular":[5],"automata":[6],"(CA)":[7],"model":[8,63,71],"is":[9,117,186],"difficult":[10],"to":[11,72,96],"fine-tune":[12],"and":[13,29,93,129,159,170],"does":[14],"not":[15],"take":[16],"the":[17,30,39,44,47,56,65,75,78,82,87,98,101,105,112,115,124,126,134,142,156,167,175,180,183,189,192],"constraint":[18],"known":[20],"factors":[21],"into":[22],"account":[23],"when":[24,37,140,147,165,173],"using":[25,38,141,148,166,174],"a":[26,68],"variable,":[28,144,169],"simulation":[31],"results":[32,107,120,136,158,185,193],"can":[33],"be":[34],"quite":[35],"different":[36],"Monte":[40,149,176],"Carlo":[41,150,177],"method,":[42,178],"reducing":[43],"accuracy":[45,99],"simulated":[48,102,135,157,184],"results.":[49,103],"Therefore,":[50],"in":[51,81],"this":[52],"paper,":[53],"we":[54],"optimize":[55],"component":[58],"an":[60],"CA":[62],"by":[64],"use":[66,86],"maximum":[69],"entropy":[70],"differentially":[73],"control":[74],"intensity":[76],"spatial":[83],"domain.":[84],"We":[85],"kappa":[88,127],"coefficient,":[89],"figure":[90,130],"merit,":[92],"landscape":[94,153],"metrics":[95,154],"evaluate":[97],"Through":[104],"experimental":[106],"obtained":[108],"for":[109,155],"Wuhan,":[110],"China,":[111],"effectiveness":[113],"optimization":[116],"proved.":[118],"show":[121],"that,":[122],"after":[123],"optimization,":[125],"coefficient":[128],"merit":[132],"are":[137,162,194],"significantly":[138],"improved":[139,146],"slightly":[145,171],"methods.":[151],"actual":[160],"data":[161],"much":[163],"closer":[164,172],"but":[179],"difference":[181],"between":[182],"narrowed,":[187],"reflecting":[188],"fact":[190],"that":[191],"more":[195],"reliable.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}