{"id":"https://openalex.org/W2064567312","doi":"https://doi.org/10.4304/jmm.8.2.137-144","title":"Geographic Elements Selection Algorithm Based on Quadtree in Variable-scale Visualization","display_name":"Geographic Elements Selection Algorithm Based on Quadtree in Variable-scale Visualization","publication_year":2013,"publication_date":"2013-04-22","ids":{"openalex":"https://openalex.org/W2064567312","doi":"https://doi.org/10.4304/jmm.8.2.137-144","mag":"2064567312"},"language":"en","primary_location":{"id":"doi:10.4304/jmm.8.2.137-144","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jmm.8.2.137-144","pdf_url":null,"source":{"id":"https://openalex.org/S16006927","display_name":"Journal of Multimedia","issn_l":"1796-2048","issn":["1796-2048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Multimedia","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/A5071321118","display_name":"Hao Guo","orcid":"https://orcid.org/0000-0002-2117-0135"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Guo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043380271","display_name":"Feixiang Chen","orcid":"https://orcid.org/0000-0002-1472-3678"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feixiang Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101433598","display_name":"Junjie Peng","orcid":"https://orcid.org/0000-0002-8262-3193"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junjie Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.27443052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9241999983787537,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9110000133514404,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quadtree","display_name":"Quadtree","score":0.8562504053115845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.715686559677124},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6320548057556152},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5711724758148193},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5226266980171204},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4422937333583832},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.44006338715553284},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36534857749938965},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3055008351802826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3015170693397522},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.2004689872264862},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13992252945899963},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12168887257575989}],"concepts":[{"id":"https://openalex.org/C151416825","wikidata":"https://www.wikidata.org/wiki/Q934791","display_name":"Quadtree","level":2,"score":0.8562504053115845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.715686559677124},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6320548057556152},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5711724758148193},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5226266980171204},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4422937333583832},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.44006338715553284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36534857749938965},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3055008351802826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3015170693397522},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2004689872264862},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13992252945899963},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12168887257575989},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jmm.8.2.137-144","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jmm.8.2.137-144","pdf_url":null,"source":{"id":"https://openalex.org/S16006927","display_name":"Journal of Multimedia","issn_l":"1796-2048","issn":["1796-2048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W80437606","https://openalex.org/W1753141071","https://openalex.org/W1966397308","https://openalex.org/W1979266711","https://openalex.org/W1983855574","https://openalex.org/W2000888069","https://openalex.org/W2038437763","https://openalex.org/W2048123040","https://openalex.org/W2052835349","https://openalex.org/W2057952429","https://openalex.org/W2063678694","https://openalex.org/W2073118290","https://openalex.org/W2098295696","https://openalex.org/W2347377975","https://openalex.org/W2363999078","https://openalex.org/W2372141727","https://openalex.org/W2373500519","https://openalex.org/W2377619317","https://openalex.org/W2379205016","https://openalex.org/W2384512549","https://openalex.org/W6637796069","https://openalex.org/W6665064967"],"related_works":["https://openalex.org/W4253586140","https://openalex.org/W2372141727","https://openalex.org/W2538163433","https://openalex.org/W2388177796","https://openalex.org/W2286458017","https://openalex.org/W2368170224","https://openalex.org/W1973301025","https://openalex.org/W2207790469","https://openalex.org/W2091889591","https://openalex.org/W2384182519"],"abstract_inverted_index":{"In":[0,37,54],"order":[1,55],"to":[2,28,56,71,101],"balance":[3],"the":[4,12,18,39,43,86,94,98,106,114],"demand":[5],"between":[6],"local":[7],"and":[8,22,117,141],"global":[9],"visualization":[10,20,121],"in":[11,42,93],"data":[13],"acquisition,":[14],"this":[15,58,60,137],"paper":[16,61],"adopts":[17],"variable-scale":[19,44,120,144],"technology":[21],"uses":[23],"quadrangular":[24],"frustum":[25],"pyramid":[26],"projection":[27],"show":[29],"geographic":[30,40,65,89,124],"information":[31],"continuously":[32],"on":[33,85,127],"a":[34,63],"mobile":[35],"device.":[36],"addition,":[38],"elements":[41,66,90,125],"transition":[45],"region":[46],"are":[47],"crowd":[48],"because":[49],"of":[50,88,119],"unceasingly":[51],"scale":[52],"changing.":[53],"solve":[57],"problem,":[59],"presents":[62],"quadtree-based":[64],"selection":[67,107],"algorithm.":[68],"That":[69],"is":[70,80],"say":[72],"when":[73],"creating":[74],"quadtree":[75],"index,":[76],"whether":[77],"node":[78,95,99],"segmentation":[79],"needed":[81],"or":[82],"not":[83],"depends":[84],"number":[87],"which":[91],"contained":[92],"space.":[96],"If":[97],"needs":[100],"be":[102],"segmented,":[103],"we":[104],"introduce":[105],"evaluation":[108,129],"function.":[109],"This":[110],"algorithm":[111,138],"could":[112,139],"optimize":[113],"display":[115],"effect":[116],"efficiency":[118],"through":[122],"abandoning":[123],"based":[126],"their":[128],"function":[130],"values.":[131],"At":[132],"last,":[133],"experiments":[134],"prove":[135],"that":[136],"better":[140],"faster":[142],"accomplish":[143],"visualization.":[145]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
