{"id":"https://openalex.org/W4224310691","doi":"https://doi.org/10.1155/2022/8117539","title":"GIS-Based Urban Agglomeration Landscape Dynamic Observation and Simulation Prediction Algorithm","display_name":"GIS-Based Urban Agglomeration Landscape Dynamic Observation and Simulation Prediction Algorithm","publication_year":2022,"publication_date":"2022-04-23","ids":{"openalex":"https://openalex.org/W4224310691","doi":"https://doi.org/10.1155/2022/8117539"},"language":"en","primary_location":{"id":"doi:10.1155/2022/8117539","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2022/8117539","pdf_url":"https://downloads.hindawi.com/journals/js/2022/8117539.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2022/8117539.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069769716","display_name":"Meng Liu","orcid":"https://orcid.org/0000-0002-0732-4572"},"institutions":[{"id":"https://openalex.org/I4210165883","display_name":"Xinxiang University","ror":"https://ror.org/05qvskn85","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165883"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meng Liu","raw_affiliation_strings":["Academy of Fine Arts, XinXiang University, Xingxiang, Henan 453000, China"],"raw_orcid":"https://orcid.org/0000-0002-0732-4572","affiliations":[{"raw_affiliation_string":"Academy of Fine Arts, XinXiang University, Xingxiang, Henan 453000, China","institution_ids":["https://openalex.org/I4210165883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5069769716"],"corresponding_institution_ids":["https://openalex.org/I4210165883"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04643209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9850000143051147,"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":0.9850000143051147,"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":0.9144999980926514,"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/urban-agglomeration","display_name":"Urban agglomeration","score":0.7647445797920227},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.7376903295516968},{"id":"https://openalex.org/keywords/raster-data","display_name":"Raster data","score":0.6325473189353943},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.528190016746521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5133742094039917},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.5073615908622742},{"id":"https://openalex.org/keywords/economies-of-agglomeration","display_name":"Economies of agglomeration","score":0.4772860109806061},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.47562888264656067},{"id":"https://openalex.org/keywords/landscape-ecology","display_name":"Landscape ecology","score":0.4413463771343231},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4393918812274933},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4221533238887787},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.28498685359954834},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.2256140112876892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15509697794914246},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14233699440956116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13025826215744019},{"id":"https://openalex.org/keywords/economic-geography","display_name":"Economic geography","score":0.09276700019836426}],"concepts":[{"id":"https://openalex.org/C154611951","wikidata":"https://www.wikidata.org/wiki/Q393233","display_name":"Urban agglomeration","level":2,"score":0.7647445797920227},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.7376903295516968},{"id":"https://openalex.org/C2692088","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster data","level":3,"score":0.6325473189353943},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.528190016746521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5133742094039917},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.5073615908622742},{"id":"https://openalex.org/C131850264","wikidata":"https://www.wikidata.org/wiki/Q383056","display_name":"Economies of agglomeration","level":2,"score":0.4772860109806061},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.47562888264656067},{"id":"https://openalex.org/C87690585","wikidata":"https://www.wikidata.org/wiki/Q738011","display_name":"Landscape ecology","level":3,"score":0.4413463771343231},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4393918812274933},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4221533238887787},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.28498685359954834},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.2256140112876892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15509697794914246},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14233699440956116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13025826215744019},{"id":"https://openalex.org/C26271046","wikidata":"https://www.wikidata.org/wiki/Q187097","display_name":"Economic geography","level":1,"score":0.09276700019836426},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185933670","wikidata":"https://www.wikidata.org/wiki/Q52105","display_name":"Habitat","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2022/8117539","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2022/8117539","pdf_url":"https://downloads.hindawi.com/journals/js/2022/8117539.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:89f2348d929f457b9e71a7addf78db44","is_oa":false,"landing_page_url":"https://doaj.org/article/89f2348d929f457b9e71a7addf78db44","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2022 (2022)","raw_type":"article"},{"id":"pmh:oai:hindawi.com:10.1155/2022/8117539","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/8117539","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"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":"","raw_type":"Research Article"}],"best_oa_location":{"id":"doi:10.1155/2022/8117539","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2022/8117539","pdf_url":"https://downloads.hindawi.com/journals/js/2022/8117539.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1988690250","display_name":null,"funder_award_id":"2019GGJS250","funder_id":"https://openalex.org/F4320325625","funder_display_name":"Education Department of Henan Province"}],"funders":[{"id":"https://openalex.org/F4320325625","display_name":"Education Department of Henan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4224310691.pdf","grobid_xml":"https://content.openalex.org/works/W4224310691.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1964182541","https://openalex.org/W1977332862","https://openalex.org/W1994930125","https://openalex.org/W2083812646","https://openalex.org/W2196348612","https://openalex.org/W2518211819","https://openalex.org/W2591324166","https://openalex.org/W2738941312","https://openalex.org/W2753689584","https://openalex.org/W2796539719","https://openalex.org/W2801467444","https://openalex.org/W2890689990","https://openalex.org/W2902134583","https://openalex.org/W2946890277","https://openalex.org/W2964069458","https://openalex.org/W2988447041","https://openalex.org/W3014979499","https://openalex.org/W3025267961","https://openalex.org/W3033021615","https://openalex.org/W3043872119","https://openalex.org/W3045784178","https://openalex.org/W3077146447","https://openalex.org/W3112166801","https://openalex.org/W3133380730","https://openalex.org/W3162424447","https://openalex.org/W3177031848","https://openalex.org/W3184063763","https://openalex.org/W3185297562","https://openalex.org/W3185889144","https://openalex.org/W3201225069","https://openalex.org/W4200330631","https://openalex.org/W4245782453"],"related_works":["https://openalex.org/W4237775769","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"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,64,69,73,114,142,145,189],"improve":[3],"the":[4,47,52,108,116,123,132,146,149,153,160,170,175,179,190,196,201,209,215],"intelligence":[5],"level":[6],"of":[7,19,32,49,77,80,119,131,148,174,178,184,192,204,213,222],"urban":[8,20,42,150,154,223],"agglomeration":[9,21,151,155,224],"landscape,":[10,152],"this":[11,185],"paper":[12,186],"conducts":[13],"dynamic":[14,216],"observation":[15,217],"and":[16,85,102,125,128,140,218],"simulation":[17,162,219],"prediction":[18,220],"landscape":[22,43,55,109,156,225],"based":[23],"on":[24,159],"geographic":[25],"information":[26],"system.":[27],"There":[28],"are":[29,88,226],"many":[30],"characteristics":[31,147],"GIS":[33,57,71,93,165],"technology":[34,58,72],"itself":[35],"that":[36],"can":[37,105,168],"be":[38],"well":[39],"matched":[40],"with":[41,99,208],"research,":[44,206],"so":[45],"in":[46,92,138],"process":[48],"actually":[50],"studying":[51],"green":[53],"space":[54,63],"pattern,":[56],"has":[59],"a":[60],"very":[61],"large":[62],"play.":[65],"The":[66,182],"first":[67,202],"is":[68,113,135,157],"use":[70],"collect":[74],"basic":[75],"data":[76,84,87,91,98,112],"different":[78],"types":[79],"scenic":[81,180],"spots.":[82],"Raster":[83,111],"vector":[86,97],"two":[89],"important":[90],"technology.":[94,166],"Among":[95],"them,":[96],"point,":[100],"line,":[101],"surface":[103],"morphology":[104],"relatively":[106,136],"express":[107],"ecology.":[110],"determine":[115],"specific":[117],"position":[118],"each":[120],"pixel":[121],"through":[122],"vertical":[124],"horizontal":[126],"row":[127],"column":[129],"relationship":[130],"pixel,":[133],"which":[134],"simple":[137],"structure":[139],"easy":[141],"topology.":[143],"According":[144],"reconstructed":[158],"virtual":[161],"platform":[163],"using":[164],"It":[167],"meet":[169],"long-term":[171],"sustainable":[172],"development":[173],"ecological":[176],"environment":[177],"area.":[181],"research":[183,198,211],"mainly":[187],"belongs":[188],"scope":[191],"practical":[193],"research.":[194],"Taking":[195],"existing":[197],"results":[199,212],"as":[200],"point":[203],"experimental":[205],"combined":[207],"relevant":[210],"design,":[214],"algorithm":[221],"constructed.":[227]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}