{"id":"https://openalex.org/W2005209301","doi":"https://doi.org/10.1145/2463728.2463844","title":"The use of recursive bisection in the mapping of sample New York state electoral districts","display_name":"The use of recursive bisection in the mapping of sample New York state electoral districts","publication_year":2012,"publication_date":"2012-10-22","ids":{"openalex":"https://openalex.org/W2005209301","doi":"https://doi.org/10.1145/2463728.2463844","mag":"2005209301"},"language":"en","primary_location":{"id":"doi:10.1145/2463728.2463844","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463728.2463844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Theory and Practice of Electronic Governance","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/A5061684236","display_name":"David Molik","orcid":"https://orcid.org/0000-0003-3192-6538"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David Molik","raw_affiliation_strings":["Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY","Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY#TAB#"],"affiliations":[{"raw_affiliation_string":"Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY#TAB#","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084689640","display_name":"Michelle Sharer","orcid":null},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michelle Sharer","raw_affiliation_strings":["Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY","Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY#TAB#"],"affiliations":[{"raw_affiliation_string":"Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY#TAB#","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061684236"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08974012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"520","last_page":"521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13546","display_name":"Census and Population Estimation","score":0.9699000120162964,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13546","display_name":"Census and Population Estimation","score":0.9699000120162964,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9527000188827515,"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"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9452000260353088,"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/sample","display_name":"Sample (material)","score":0.7302338480949402},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6381922960281372},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.6311053037643433},{"id":"https://openalex.org/keywords/bisection","display_name":"Bisection","score":0.6127424240112305},{"id":"https://openalex.org/keywords/bisection-method","display_name":"Bisection method","score":0.49525919556617737},{"id":"https://openalex.org/keywords/regional-science","display_name":"Regional science","score":0.4015200734138489},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3681246042251587},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3436030149459839},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3425043225288391},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32572728395462036},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2370149791240692},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2325415313243866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21357253193855286}],"concepts":[{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.7302338480949402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6381922960281372},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.6311053037643433},{"id":"https://openalex.org/C31599958","wikidata":"https://www.wikidata.org/wiki/Q3128632","display_name":"Bisection","level":2,"score":0.6127424240112305},{"id":"https://openalex.org/C157544257","wikidata":"https://www.wikidata.org/wiki/Q866300","display_name":"Bisection method","level":2,"score":0.49525919556617737},{"id":"https://openalex.org/C148383697","wikidata":"https://www.wikidata.org/wiki/Q1781695","display_name":"Regional science","level":1,"score":0.4015200734138489},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3681246042251587},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3436030149459839},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3425043225288391},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32572728395462036},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2370149791240692},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2325415313243866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21357253193855286},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2463728.2463844","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463728.2463844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Theory and Practice of Electronic Governance","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308668","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2096652633"],"related_works":["https://openalex.org/W2329494729","https://openalex.org/W3112697985","https://openalex.org/W41290553","https://openalex.org/W2585516632","https://openalex.org/W1986919722","https://openalex.org/W2093663313","https://openalex.org/W40332083","https://openalex.org/W4296983618","https://openalex.org/W2158390333","https://openalex.org/W2577097539"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"describe":[4],"the":[5,12,18,42],"use":[6,28],"of":[7,14,20,29,44],"open,":[8],"linked":[9],"data":[10,30],"with":[11],"utilization":[13],"recursive":[15],"bisection":[16],"in":[17,31],"mapping":[19],"sample":[21],"New":[22],"York":[23],"State":[24],"Electoral":[25],"Districts.":[26],"The":[27],"a":[32,36],"novel":[33],"way":[34],"provides":[35],"solution":[37],"to":[38],"complications":[39],"caused":[40],"from":[41],"creation":[43],"electoral":[45],"districts.":[46]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}