{"id":"https://openalex.org/W2249053083","doi":"https://doi.org/10.1109/geoinformatics.2015.7378650","title":"A road density partition method for the evaluation of road selection","display_name":"A road density partition method for the evaluation of road selection","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2249053083","doi":"https://doi.org/10.1109/geoinformatics.2015.7378650","mag":"2249053083"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2015.7378650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2015.7378650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd International Conference on Geoinformatics","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/A5029154743","display_name":"Huaqiang Fang","orcid":"https://orcid.org/0000-0002-2375-859X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaqiang Fang","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061090757","display_name":"Chang Ren","orcid":"https://orcid.org/0000-0003-1760-0865"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Ren","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062081726","display_name":"Liupeng Lin","orcid":"https://orcid.org/0000-0002-3676-6775"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liupeng Lin","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032149020","display_name":"Fuquan Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuquan Xiong","raw_affiliation_strings":["Ministry of Education, Wuhan University, Wuhan, China","School of Geographic Sciences, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ministry of Education, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100717294","display_name":"Jing Tian","orcid":"https://orcid.org/0000-0003-3965-2826"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Tian","raw_affiliation_strings":["Ministry of Education, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Ministry of Education, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5029154743"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.12371103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"32","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T12644","display_name":"Wildlife-Road Interactions and Conservation","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9804999828338623,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/voronoi-diagram","display_name":"Voronoi diagram","score":0.838392972946167},{"id":"https://openalex.org/keywords/cartographic-generalization","display_name":"Cartographic generalization","score":0.6784749031066895},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6730605363845825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6050944328308105},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.585491418838501},{"id":"https://openalex.org/keywords/grid-method-multiplication","display_name":"Grid method multiplication","score":0.5276673436164856},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5269150137901306},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.48849713802337646},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4868256449699402},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4679720997810364},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.41701042652130127},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.34012359380722046},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26593148708343506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2464311420917511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2389875054359436},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10833588242530823},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.09632110595703125}],"concepts":[{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.838392972946167},{"id":"https://openalex.org/C196031653","wikidata":"https://www.wikidata.org/wiki/Q1501867","display_name":"Cartographic generalization","level":3,"score":0.6784749031066895},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6730605363845825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6050944328308105},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.585491418838501},{"id":"https://openalex.org/C91370436","wikidata":"https://www.wikidata.org/wiki/Q5608616","display_name":"Grid method multiplication","level":3,"score":0.5276673436164856},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5269150137901306},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.48849713802337646},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4868256449699402},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4679720997810364},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.41701042652130127},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.34012359380722046},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26593148708343506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2464311420917511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2389875054359436},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10833588242530823},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.09632110595703125},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2015.7378650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2015.7378650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8100000023841858,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1506159576","https://openalex.org/W1967137980","https://openalex.org/W1986464853","https://openalex.org/W1995749047","https://openalex.org/W2003744360","https://openalex.org/W2005308733","https://openalex.org/W2021257428","https://openalex.org/W2024818953","https://openalex.org/W2029008153","https://openalex.org/W2036267401","https://openalex.org/W2064754611","https://openalex.org/W2077710654","https://openalex.org/W2078917018","https://openalex.org/W2087072474","https://openalex.org/W2087553518","https://openalex.org/W2131030644","https://openalex.org/W2131586477","https://openalex.org/W2334382246","https://openalex.org/W2391328592","https://openalex.org/W2768790030","https://openalex.org/W3104034446"],"related_works":["https://openalex.org/W3020555194","https://openalex.org/W2793256277","https://openalex.org/W4360958759","https://openalex.org/W2348235448","https://openalex.org/W2116218375","https://openalex.org/W2389906634","https://openalex.org/W176898926","https://openalex.org/W2110750323","https://openalex.org/W2369288112","https://openalex.org/W2249053083"],"abstract_inverted_index":{"Road":[0],"density":[1,46,153,165,191],"is":[2,30],"a":[3,31,44],"useful":[4],"index":[5],"widely":[6],"employed":[7],"in":[8,34,166],"the":[9,35,50,59,70,80,84,102,105,119,127,137,143,151,156,162,180,189],"analysis":[10],"of":[11,18,27,37,52,62,87,91,97,116,121,126,142],"ecological":[12],"effects,":[13],"road":[14,22,45,53,63,114,138,152,163,177],"network":[15,23,115,139,164],"planning,":[16],"delimitation":[17],"urban":[19],"areas":[20,173],"and":[21,65,67,94,124,169,175],"generalization.":[24,40],"The":[25,55,113,146],"evaluation":[26,51],"generalization":[28],"result":[29,141,148],"key":[32],"issue":[33],"field":[36],"automated":[38],"map":[39],"This":[41],"paper":[42],"proposes":[43],"partition":[47],"method":[48,56,103,158,182],"for":[49],"selection.":[54,178],"first":[57],"creates":[58],"Voronoi":[60,98,107],"diagram":[61],"intersections":[64],"endpoints,":[66],"then":[68],"uses":[69],"Getis-ord":[71],"G":[72],"<inf":[73],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[74],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i</inf>":[75],"*":[76],"statistic":[77],"to":[78,110,135,185,188],"identify":[79],"statistically":[81],"significant":[82],"(at":[83],"confidence":[85],"level":[86],"95%)":[88],"spatial":[89],"clusters":[90],"high":[92],"values":[93,96],"low":[95],"cells'":[99],"areas.":[100],"Finally,":[101],"merges":[104],"neighboring":[106],"cells":[108],"corresponding":[109],"those":[111],"clusters.":[112],"Wuhan":[117],"at":[118],"levels":[120],"15,":[122],"13":[123],"11":[125],"Google":[128],"Maps":[129],"was":[130,183],"used":[131],"as":[132],"experimental":[133],"data":[134],"evaluate":[136],"selection":[140],"proposed":[144,157,181],"method.":[145,192],"experiment":[147],"showed":[149],"that":[150],"partitioning":[154],"with":[155],"generally":[159],"well":[160],"reflects":[161],"each":[167],"area":[168],"contrast":[170],"between":[171],"different":[172],"before":[174],"after":[176],"Meanwhile,":[179],"proved":[184],"be":[186],"superior":[187],"grid":[190]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
