{"id":"https://openalex.org/W2463050147","doi":"https://doi.org/10.1080/13658816.2016.1207776","title":"A cartographic modeling approach to isopleth mapping","display_name":"A cartographic modeling approach to isopleth mapping","publication_year":2016,"publication_date":"2016-07-15","ids":{"openalex":"https://openalex.org/W2463050147","doi":"https://doi.org/10.1080/13658816.2016.1207776","mag":"2463050147"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2016.1207776","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2016.1207776","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","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/A5076973255","display_name":"Jie Lin","orcid":"https://orcid.org/0000-0003-4106-7474"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Lin","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065279103","display_name":"Dean M. Hanink","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dean M. Hanink","raw_affiliation_strings":["Department of Geography, University of Connecticut, Storrs, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062826323","display_name":"Robert G. Cromley","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert G. Cromley","raw_affiliation_strings":["Department of Geography, University of Connecticut, Storrs, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076973255"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.5002,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.62798985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"31","issue":"5","first_page":"849","last_page":"866"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9864000082015991,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9864000082015991,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9861999750137329,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9492999911308289,"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/representation","display_name":"Representation (politics)","score":0.5985667705535889},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5198812484741211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44505321979522705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4072045087814331},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3050310015678406}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5985667705535889},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5198812484741211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44505321979522705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4072045087814331},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3050310015678406},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2016.1207776","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2016.1207776","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W659115242","https://openalex.org/W1507189098","https://openalex.org/W1528270775","https://openalex.org/W1543116876","https://openalex.org/W1543801710","https://openalex.org/W1547533132","https://openalex.org/W1833161506","https://openalex.org/W1889102735","https://openalex.org/W1966086989","https://openalex.org/W1966470704","https://openalex.org/W1973465224","https://openalex.org/W1981966150","https://openalex.org/W1981986524","https://openalex.org/W1984518896","https://openalex.org/W1985725498","https://openalex.org/W1986670971","https://openalex.org/W1989188745","https://openalex.org/W2003147772","https://openalex.org/W2021563159","https://openalex.org/W2025778699","https://openalex.org/W2032857806","https://openalex.org/W2038440249","https://openalex.org/W2040145793","https://openalex.org/W2045448358","https://openalex.org/W2053367005","https://openalex.org/W2053697364","https://openalex.org/W2066670177","https://openalex.org/W2068637695","https://openalex.org/W2086819892","https://openalex.org/W2105795805","https://openalex.org/W2107848824","https://openalex.org/W2109926872","https://openalex.org/W2110117250","https://openalex.org/W2138706727","https://openalex.org/W2144157522","https://openalex.org/W2165876401","https://openalex.org/W2203565671","https://openalex.org/W2334059378","https://openalex.org/W2334357650","https://openalex.org/W2512173100","https://openalex.org/W2986580861","https://openalex.org/W3014221545","https://openalex.org/W4238294888","https://openalex.org/W4241683126","https://openalex.org/W4241837174","https://openalex.org/W4250594821","https://openalex.org/W4387998311","https://openalex.org/W4404079674"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W4245490552","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2600246793"],"abstract_inverted_index":{"Isopleth":[0],"maps":[1,95],"depict":[2],"different":[3,18],"types":[4],"of":[5,22,81,96,159],"standardized":[6,23],"data":[7,24,76],"densities,":[8],"general":[9,87],"ratios/rates,":[10],"and":[11,70,116,136,154],"proportions/percentages.":[12],"In":[13],"this":[14],"study,":[15],"we":[16,120],"describe":[17],"paths":[19],"each":[20,61],"type":[21],"takes":[25],"to":[26,46,73,77,92,105,127,142],"construct":[27],"isoplethic":[28],"surfaces":[29,138],"in":[30,37,49,60],"a":[31,82,86,100,122],"cartographic":[32],"modeling":[33],"framework.":[34],"As":[35],"suggested":[36],"previous":[38],"research,":[39],"an":[40],"area-based":[41],"pycnophylactic":[42,88],"interpolator":[43],"is":[44,68,71,90,103],"preferred":[45],"point":[47],"interpolators":[48],"isopleth":[50,94],"mapping":[51,114,125],"not":[52],"only":[53],"because":[54,66],"it":[55,67],"preserves":[56],"the":[57,79,107,129,160],"total":[58],"volume":[59],"aggregation":[62],"unit":[63],"but":[64,99],"also":[65],"non-parametric":[69],"able":[72],"incorporate":[74],"ancillary":[75],"increase":[78],"accuracy":[80],"surface":[83],"representation.":[84],"Here,":[85],"method":[89],"used":[91],"generate":[93],"density":[97],"surfaces,":[98],"hybrid":[101],"approach":[102],"proposed":[104],"address":[106],"small":[108],"denominator":[109,157],"problem":[110,132],"that":[111,139],"arises":[112],"when":[113],"ratio/rate":[115,135],"proportion/percentage":[117,137],"surfaces.":[118],"Finally,":[119],"propose":[121],"value-by-perspective":[123],"height":[124],"procedure":[126],"resolve":[128],"visual":[130],"equalization":[131],"associated":[133],"with":[134],"enable":[140],"one":[141],"distinguish":[143],"among":[144],"high":[145,148],"rate/large":[146,152],"denominator,":[147,150,153],"rate/small":[149,156],"low":[151,155],"regions":[158],"surface.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}