{"id":"https://openalex.org/W3168309061","doi":"https://doi.org/10.1145/3463677.3463751","title":"A neural network-cellular automata based model for predicting vertical urban growth","display_name":"A neural network-cellular automata based model for predicting vertical urban growth","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3168309061","doi":"https://doi.org/10.1145/3463677.3463751","mag":"3168309061"},"language":"en","primary_location":{"id":"doi:10.1145/3463677.3463751","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3463677.3463751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"DG.O2021: The 22nd Annual International Conference on Digital Government Research","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/A5032600542","display_name":"Luis Antonio L\u00f3pez-Rivera","orcid":"https://orcid.org/0000-0003-0204-0500"},"institutions":[{"id":"https://openalex.org/I179647637","display_name":"Universidad Aut\u00f3noma del Estado de M\u00e9xico","ror":"https://ror.org/0079gpv38","country_code":"MX","type":"education","lineage":["https://openalex.org/I179647637"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Luis Antonio Lopez-Rivera","raw_affiliation_strings":["Universidad Autonoma del Estado de Mexico, Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad Autonoma del Estado de Mexico, Mexico","institution_ids":["https://openalex.org/I179647637"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721571","display_name":"Marcelo Romero","orcid":"https://orcid.org/0000-0002-4758-8484"},"institutions":[{"id":"https://openalex.org/I179647637","display_name":"Universidad Aut\u00f3noma del Estado de M\u00e9xico","ror":"https://ror.org/0079gpv38","country_code":"MX","type":"education","lineage":["https://openalex.org/I179647637"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Marcelo Romero-Huertas","raw_affiliation_strings":["Universidad Autonoma del Estado de Mexico, Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad Autonoma del Estado de Mexico, Mexico","institution_ids":["https://openalex.org/I179647637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088159892","display_name":"David Valle-Cruz","orcid":"https://orcid.org/0000-0002-5204-8095"},"institutions":[{"id":"https://openalex.org/I179647637","display_name":"Universidad Aut\u00f3noma del Estado de M\u00e9xico","ror":"https://ror.org/0079gpv38","country_code":"MX","type":"education","lineage":["https://openalex.org/I179647637"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"David Valle-Cruz","raw_affiliation_strings":["Universidad Autonoma del Estado de Mexico, Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad Autonoma del Estado de Mexico, Mexico","institution_ids":["https://openalex.org/I179647637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032600542"],"corresponding_institution_ids":["https://openalex.org/I179647637"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05252838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"548","last_page":"550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9980999827384949,"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":0.9980999827384949,"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/T12325","display_name":"Urban Design and Spatial Analysis","score":0.9434999823570251,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9402999877929688,"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/jaccard-index","display_name":"Jaccard index","score":0.8721274137496948},{"id":"https://openalex.org/keywords/cellular-automaton","display_name":"Cellular automaton","score":0.8609429597854614},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.7104064226150513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6689161062240601},{"id":"https://openalex.org/keywords/urban-planning","display_name":"Urban planning","score":0.5814056396484375},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5288891792297363},{"id":"https://openalex.org/keywords/raster-data","display_name":"Raster data","score":0.5107598304748535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38362056016921997},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3835292458534241},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.14166989922523499},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.13940870761871338},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11992660164833069}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.8721274137496948},{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.8609429597854614},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.7104064226150513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6689161062240601},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.5814056396484375},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5288891792297363},{"id":"https://openalex.org/C2692088","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster data","level":3,"score":0.5107598304748535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38362056016921997},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3835292458534241},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.14166989922523499},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.13940870761871338},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11992660164833069}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3463677.3463751","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3463677.3463751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"DG.O2021: The 22nd Annual International Conference on Digital Government Research","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2030017725","https://openalex.org/W2600376481","https://openalex.org/W2646449269","https://openalex.org/W2741501078","https://openalex.org/W2769762636","https://openalex.org/W2897261866","https://openalex.org/W2909863679"],"related_works":["https://openalex.org/W1997953140","https://openalex.org/W4245508207","https://openalex.org/W2996808565","https://openalex.org/W2371122778","https://openalex.org/W1488652151","https://openalex.org/W2026066822","https://openalex.org/W2768758348","https://openalex.org/W3102510374","https://openalex.org/W2954918491","https://openalex.org/W2377522760"],"abstract_inverted_index":{"This":[0],"research":[1],"aims":[2],"to":[3,58],"support":[4],"the":[5,16,37,44,48,60],"urban":[6,18,72,87],"planning":[7,88],"decisions":[8,85],"in":[9],"Mexico":[10],"through":[11],"a":[12],"model":[13],"that":[14],"predicts":[15],"vertical":[17,71],"growth":[19,73,77],"using":[20,64],"main":[21],"factors":[22,78],"with":[23],"artificial":[24],"neural":[25],"networks":[26],"and":[27,40,53,66,89,95],"cellular":[28,80],"automata":[29,81],"techniques.":[30],"We":[31],"use":[32],"raster":[33],"image":[34],"data":[35,46],"from":[36,43,56],"Landsat":[38],"8":[39],"vectorial":[41],"maps":[42],"open":[45],"of":[47,51],"Mexican":[49],"Institute":[50],"Geography":[52],"Statistics":[54],"(INEGI)":[55],"2015":[57],"2020,":[59],"results":[61],"are":[62],"validated":[63],"Kappa":[65],"Jaccard":[67],"indexes.":[68],"Analysing":[69],"different":[70],"scenarios,":[74],"by":[75],"modifying":[76],"or":[79],"rules,":[82],"allow":[83],"better-informed":[84],"for":[86],"anticipating":[90],"new":[91],"infrastructure":[92],"needs,":[93],"projections,":[94],"regulations.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
