{"id":"https://openalex.org/W2112714489","doi":"https://doi.org/10.1109/igarss.2005.1525745","title":"A pixel-based method to calculate the urban compactness and its preliminary application","display_name":"A pixel-based method to calculate the urban compactness and its preliminary application","publication_year":2005,"publication_date":"2005-11-15","ids":{"openalex":"https://openalex.org/W2112714489","doi":"https://doi.org/10.1109/igarss.2005.1525745","mag":"2112714489"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2005.1525745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1525745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","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/A5021551904","display_name":"Jinqu Zhang","orcid":"https://orcid.org/0000-0001-6643-4053"},"institutions":[{"id":"https://openalex.org/I3018690959","display_name":"Guangzhou Institute of Geochemistry","ror":"https://ror.org/0356cst02","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I3018690959"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinqu Zhang","raw_affiliation_strings":["State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy and Sciences, Guangzhou, China","Guangzhou Institute of Geochemistry, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy and Sciences, Guangzhou, China","institution_ids":["https://openalex.org/I3018690959"]},{"raw_affiliation_string":"Guangzhou Institute of Geochemistry, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I3018690959","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100350328","display_name":"Yunpeng Wang","orcid":"https://orcid.org/0000-0003-4164-9677"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I3018690959","display_name":"Guangzhou Institute of Geochemistry","ror":"https://ror.org/0356cst02","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I3018690959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunpeng Wang","raw_affiliation_strings":["State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy and Sciences, Guangzhou, China","Guangzhou Institute of Geochemistry, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy and Sciences, Guangzhou, China","institution_ids":["https://openalex.org/I3018690959"]},{"raw_affiliation_string":"Guangzhou Institute of Geochemistry, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I3018690959","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021551904"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I3018690959"],"apc_list":null,"apc_paid":null,"fwci":0.2455,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6222584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"3833","last_page":"3836"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9993000030517578,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9983999729156494,"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/T13203","display_name":"Environmental Changes in China","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"}}],"keywords":[{"id":"https://openalex.org/keywords/compact-space","display_name":"Compact space","score":0.8971996307373047},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6191326379776001},{"id":"https://openalex.org/keywords/radius","display_name":"RADIUS","score":0.5509617924690247},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5321157574653625},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47476673126220703},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4689834713935852},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4596061706542969},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"Curve fitting","score":0.4434928596019745},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.42626330256462097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37894871830940247},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.31167396903038025},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.30208680033683777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29229533672332764},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.26041388511657715},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2534096837043762},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2364857792854309}],"concepts":[{"id":"https://openalex.org/C18648836","wikidata":"https://www.wikidata.org/wiki/Q381892","display_name":"Compact space","level":2,"score":0.8971996307373047},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6191326379776001},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.5509617924690247},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5321157574653625},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47476673126220703},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4689834713935852},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4596061706542969},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.4434928596019745},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.42626330256462097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37894871830940247},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.31167396903038025},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.30208680033683777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29229533672332764},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.26041388511657715},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2534096837043762},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2364857792854309},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2005.1525745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1525745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1579212879","https://openalex.org/W1969324628","https://openalex.org/W2034784013","https://openalex.org/W2067108455","https://openalex.org/W2083319009","https://openalex.org/W2116044718","https://openalex.org/W2118635835","https://openalex.org/W2126465904","https://openalex.org/W2132227723","https://openalex.org/W2320631727","https://openalex.org/W2940314658"],"related_works":["https://openalex.org/W2121543990","https://openalex.org/W2402800040","https://openalex.org/W4252969132","https://openalex.org/W2000020320","https://openalex.org/W2805799113","https://openalex.org/W1981078319","https://openalex.org/W4387315838","https://openalex.org/W2077709279","https://openalex.org/W2055388154","https://openalex.org/W1996438631"],"abstract_inverted_index":{"A":[0],"pixel-based":[1],"method":[2,42,238],"was":[3,13,43,239],"provided":[4],"to":[5,15,31,68,72,100,232,241],"calculate":[6,32],"the":[7,21,25,33,46,49,56,74,88,92,98,101,114,118,152,170,179,194,220,225,234,245,251,256,271,275,278],"urban":[8,22,34,50,75,115,235],"compactness.":[9,76,172,236],"Remote":[10],"sensing":[11],"technology":[12],"used":[14,30,133,231],"extract":[16],"urban-used":[17],"land":[18],"information":[19],"and":[20,91,117,128,137,169,203,208,250,260,265,273],"pixels":[23,99],"in":[24,178,244,255],"classification":[26,180],"image":[27],"were":[28,66,132,262],"directly":[29],"compactness,":[35],"which":[36,86],"will":[37],"be":[38,84,140,190,230],"more":[39],"proper.":[40],"The":[41,120,237,267],"basing":[44],"on":[45],"assumption":[47],"that":[48,107,142,224],"with":[51,63,166,212,270],"a":[52,70,110,143,182],"circle":[53,89,102,125],"form":[54],"is":[55,109,159,199,206],"most":[57],"compact.":[58],"40":[59,121],"virtual":[60,79,163],"circular":[61,164],"cities":[62,165],"different":[64,167],"radius":[65,168],"constructed":[67],"seek":[69],"formula":[71],"quantify":[73,233],"For":[77],"each":[78,175],"city,":[80],"2":[81],"data":[82,122],"can":[83,139,150,189,229],"acquired":[85],"are":[87],"area":[90,116,184],"average":[93,129,187],"distance":[94,188],"(AD)":[95],"of":[96,124,146,214,227,253,258,277],"till":[97],"center.":[103],"Regression":[104],"analysis":[105,136],"shows":[106],"there":[108,198,205],"good":[111],"relationship":[112],"between":[113],"AD.":[119],"pairs":[123],"areas":[126],"(y)":[127],"distances":[130],"(x)":[131],"for":[134,174],"regression":[135],"it":[138],"found":[141],"curve":[144,158,211],"function":[145,213],"y":[147,215],"=":[148,216],"6.9351x(2.0039)":[149],"simulate":[151],"points":[153],"perfectly":[154],"(r=1).":[155],"Obviously,":[156],"this":[157],"educed":[160],"by":[161],"countless":[162],"same":[171],"Actually,":[173],"real":[176],"city":[177,243],"image,":[181],"specific":[183,196],"anti":[185],"an":[186],"calculated":[191],"directly.":[192],"With":[193],"two":[195],"data,":[197],"one":[200,207,210],"exclusive":[201],"point":[202],"also":[204],"only":[209],"6.9351":[217],"x(D)":[218],"passing":[219],"point.":[221],"Studies":[222],"showed":[223,274],"value":[226],"D":[228],"applied":[240],"Dongguan":[242,254],"Pearl":[246],"River":[247],"delta,":[248],"China":[249],"compactness":[252],"year":[257],"1990":[259],"2003":[261],"separately":[263],"1.76":[264],"1.87.":[266],"results":[268],"accorded":[269],"fact":[272],"effect":[276],"method.":[279]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
