{"id":"https://openalex.org/W2033737789","doi":"https://doi.org/10.1117/12.2079420","title":"Weighted maps: treemap visualization of geolocated quantitative data","display_name":"Weighted maps: treemap visualization of geolocated quantitative data","publication_year":2015,"publication_date":"2015-02-08","ids":{"openalex":"https://openalex.org/W2033737789","doi":"https://doi.org/10.1117/12.2079420","mag":"2033737789"},"language":"en","primary_location":{"id":"doi:10.1117/12.2079420","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2079420","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5025754478","display_name":"Mohammad Ghoniem","orcid":"https://orcid.org/0000-0001-6745-3651"},"institutions":[{"id":"https://openalex.org/I4210165652","display_name":"National Library of Luxembourg","ror":"https://ror.org/05e0vkr08","country_code":"LU","type":"government","lineage":["https://openalex.org/I4210165652"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Mohammad Ghoniem","raw_affiliation_strings":["Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)","institution_ids":["https://openalex.org/I4210165652"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083784340","display_name":"Ma\u00ebl Cornil","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165652","display_name":"National Library of Luxembourg","ror":"https://ror.org/05e0vkr08","country_code":"LU","type":"government","lineage":["https://openalex.org/I4210165652"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Ma\u00ebl Cornil","raw_affiliation_strings":["Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)","institution_ids":["https://openalex.org/I4210165652"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039539396","display_name":"Bertjan Broeksema","orcid":"https://orcid.org/0000-0001-7272-2684"},"institutions":[{"id":"https://openalex.org/I4210165652","display_name":"National Library of Luxembourg","ror":"https://ror.org/05e0vkr08","country_code":"LU","type":"government","lineage":["https://openalex.org/I4210165652"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Bertjan Broeksema","raw_affiliation_strings":["Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)","institution_ids":["https://openalex.org/I4210165652"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044727743","display_name":"Micka\u00ebl Stefas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165652","display_name":"National Library of Luxembourg","ror":"https://ror.org/05e0vkr08","country_code":"LU","type":"government","lineage":["https://openalex.org/I4210165652"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Micka\u00ebl Stefas","raw_affiliation_strings":["Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)","institution_ids":["https://openalex.org/I4210165652"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000232046","display_name":"Beno\u00eet Otjacques","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165652","display_name":"National Library of Luxembourg","ror":"https://ror.org/05e0vkr08","country_code":"LU","type":"government","lineage":["https://openalex.org/I4210165652"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Beno\u00eet Otjacques","raw_affiliation_strings":["Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)","institution_ids":["https://openalex.org/I4210165652"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4977,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88107895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9397","issue":null,"first_page":"93970G","last_page":"93970G"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9984999895095825,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.8134884834289551},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6913268566131592},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6030060052871704},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.5954557657241821},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5952032804489136},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.46822306513786316},{"id":"https://openalex.org/keywords/branching","display_name":"Branching (polymer chemistry)","score":0.45556309819221497},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.443651020526886},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.41392359137535095},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09117603302001953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134884834289551},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6913268566131592},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6030060052871704},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.5954557657241821},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5952032804489136},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.46822306513786316},{"id":"https://openalex.org/C206175624","wikidata":"https://www.wikidata.org/wiki/Q595731","display_name":"Branching (polymer chemistry)","level":2,"score":0.45556309819221497},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.443651020526886},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.41392359137535095},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09117603302001953},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2079420","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2079420","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1830192980","https://openalex.org/W1859452341","https://openalex.org/W1930118087","https://openalex.org/W1987522255","https://openalex.org/W1992743299","https://openalex.org/W2035484011","https://openalex.org/W2035566389","https://openalex.org/W2041284908","https://openalex.org/W2046252734","https://openalex.org/W2073575794","https://openalex.org/W2076035893","https://openalex.org/W2089463122","https://openalex.org/W2098839872","https://openalex.org/W2106588364","https://openalex.org/W2129815685","https://openalex.org/W2133185801","https://openalex.org/W2133571633","https://openalex.org/W2144615061","https://openalex.org/W2148987114","https://openalex.org/W2159367517","https://openalex.org/W2167474771","https://openalex.org/W2295609766","https://openalex.org/W2505947133","https://openalex.org/W2899517269","https://openalex.org/W3111910297","https://openalex.org/W4234244153","https://openalex.org/W6638595869","https://openalex.org/W6638994448"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1965329638","https://openalex.org/W2189613078","https://openalex.org/W1574055964","https://openalex.org/W2923661510","https://openalex.org/W2542318691","https://openalex.org/W3160708108"],"abstract_inverted_index":{"A":[0],"wealth":[1],"of":[2,28,52,71,106,109,118,147],"census":[3],"data":[4,19],"relative":[5],"to":[6,22,55,114],"hierarchical":[7,18,40],"administrative":[8],"subdivisions":[9],"are":[10,74,124],"now":[11],"available.":[12],"It":[13],"is":[14],"therefore":[15],"desirable":[16],"for":[17,39,144],"visualization":[20],"techniques,":[21],"offer":[23],"a":[24,35,45,49,82,107,141,155],"spatially":[25],"consistent":[26],"representation":[27],"such":[29],"data.":[30],"This":[31],"paper":[32,73],"focuses":[33],"on":[34,48],"widely":[36],"used":[37,113],"technique":[38],"data,":[41],"namely":[42],"treemaps,":[43,53],"with":[44,92,126],"particular":[46],"emphasis":[47],"specific":[50],"family":[51],"designed":[54],"take":[56],"into":[57],"account":[58],"spatial":[59],"constraints":[60],"in":[61],"the":[62,79,89,93,101,116,119,136,145],"layout,":[63],"called":[64],"Spatially":[65],"Dependent":[66],"Treemap":[67],"(SDT).":[68],"The":[69,122],"contributions":[70],"this":[72],"threefold.":[75],"First,":[76],"we":[77,99,133],"present":[78,100],"\"Weighted":[80],"Maps\",":[81],"novel":[83],"SDT":[84,96],"layout":[85,146],"algorithm":[86,139],"and":[87,104,151],"discuss":[88],"algorithmic":[90],"differences":[91],"other":[94],"state-of-the-art":[95],"algorithms.":[97],"Second,":[98],"quantitative":[102],"results":[103],"analyses":[105,123],"number":[108],"metrics":[110],"that":[111,135],"were":[112],"assess":[115],"quality":[117],"resulting":[120],"layouts.":[121],"illustrated":[125],"figures":[127],"generated":[128],"from":[129],"various":[130],"datasets.":[131],"Third,":[132],"show":[134],"Weighted":[137],"Maps":[138],"offers":[140],"significant":[142],"advantage":[143],"large":[148,156],"flat":[149],"cartograms":[150],"multilevel":[152],"hierarchies":[153],"having":[154],"branching":[157],"factor.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
