{"id":"https://openalex.org/W4366452408","doi":"https://doi.org/10.30997/ijar.v4i1.283","title":"GEOGRAPHICALLY WEIGHTED REGRESSION WITH DIFFERENT KERNELS: APPLICATION TO MODEL POVERTY","display_name":"GEOGRAPHICALLY WEIGHTED REGRESSION WITH DIFFERENT KERNELS: APPLICATION TO MODEL POVERTY","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4366452408","doi":"https://doi.org/10.30997/ijar.v4i1.283"},"language":"en","primary_location":{"id":"doi:10.30997/ijar.v4i1.283","doi":"https://doi.org/10.30997/ijar.v4i1.283","is_oa":true,"landing_page_url":"http://dx.doi.org/10.30997/ijar.v4i1.283","pdf_url":"https://iojs.unida.ac.id/index.php/IJAR/article/download/283/148","source":{"id":"https://openalex.org/S4210186775","display_name":"Indonesian Journal of Applied Research (IJAR)","issn_l":"2722-6395","issn":["2722-6395"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I4210111749","host_organization_name":"Universitas Djuanda","host_organization_lineage":["https://openalex.org/I4210111749"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Applied Research (IJAR)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://iojs.unida.ac.id/index.php/IJAR/article/download/283/148","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042698750","display_name":"Nurtiti Sunusi","orcid":"https://orcid.org/0000-0002-6436-831X","observed_orcids":["https://orcid.org/0000-0002-6436-831X"]},"institutions":[{"id":"https://openalex.org/I98301867","display_name":"Hasanuddin University","ror":"https://ror.org/00da1gf19","country_code":"ID","type":"education","lineage":["https://openalex.org/I98301867"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Nurtiti Sunusi","raw_affiliation_strings":["Statistics Department, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Statistics Department, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Indonesia","institution_ids":["https://openalex.org/I98301867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026536876","display_name":"Aan Subarkah","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I98301867","display_name":"Hasanuddin University","ror":"https://ror.org/00da1gf19","country_code":"ID","type":"education","lineage":["https://openalex.org/I98301867"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Aan Subarkah","raw_affiliation_strings":["Statistics Department, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Statistics Department, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Indonesia","institution_ids":["https://openalex.org/I98301867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98301867"],"apc_list":null,"apc_paid":null,"fwci":0.7068,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74116756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"4","issue":"1","first_page":"27","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14051","display_name":"Regional Economic Trends and Sectoral Structure","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14509","display_name":"demographic modeling and climate adaptation","score":0.00039999998989515007,"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/geographically-weighted-regression","display_name":"geographically weighted regression","score":0.9129999876022339},{"id":"https://openalex.org/keywords/spatially-varying-relationships","display_name":"spatially varying relationships","score":0.75},{"id":"https://openalex.org/keywords/poverty","display_name":"poverty","score":0.33000001311302185},{"id":"https://openalex.org/keywords/poverty-reduction","display_name":"poverty reduction","score":0.7400000095367432},{"id":"https://openalex.org/keywords/spatial-autocorrelation","display_name":"spatial autocorrelation","score":0.824999988079071},{"id":"https://openalex.org/keywords/kernel-weighting","display_name":"kernel weighting","score":0.4050000011920929},{"id":"https://openalex.org/keywords/regional-development","display_name":"regional development","score":0.5040000081062317},{"id":"https://openalex.org/keywords/regencies-and-cities","display_name":"regencies and cities","score":0.621999979019165},{"id":"https://openalex.org/keywords/per-capita-expenditure","display_name":"per capita expenditure","score":0.6629999876022339},{"id":"https://openalex.org/keywords/life-expectancy","display_name":"life expectancy","score":0.8090000152587891},{"id":"https://openalex.org/keywords/access-to-drinking-water","display_name":"drinking water access","score":0.9549999833106995},{"id":"https://openalex.org/keywords/unemployment","display_name":"unemployment","score":0.9319999814033508},{"id":"https://openalex.org/keywords/labor-force-participation","display_name":"labor force participation","score":0.9890000224113464},{"id":"https://openalex.org/keywords/regional-gross-domestic-product","display_name":"regional gross domestic product","score":0.5410000085830688}],"concepts":[{"id":"https://openalex.org/C189326681","wikidata":"https://www.wikidata.org/wiki/Q10294","display_name":"Poverty","level":2,"score":0.8503843545913696},{"id":"https://openalex.org/C127598652","wikidata":"https://www.wikidata.org/wiki/Q558635","display_name":"Per capita","level":3,"score":0.5463422536849976},{"id":"https://openalex.org/C133925201","wikidata":"https://www.wikidata.org/wiki/Q188419","display_name":"Life expectancy","level":3,"score":0.5149553418159485},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5142176151275635},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5038864016532898},{"id":"https://openalex.org/C2910321205","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geographically Weighted Regression","level":2,"score":0.496448814868927},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4870460331439972},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.4570879638195038},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41193145513534546},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4104495644569397},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.37232622504234314},{"id":"https://openalex.org/C4249254","wikidata":"https://www.wikidata.org/wiki/Q3044431","display_name":"Demographic economics","level":1,"score":0.35938042402267456},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28387248516082764},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.26905059814453125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20700517296791077},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.13874199986457825},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.10397312045097351},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07305264472961426},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.30997/ijar.v4i1.283","doi":"https://doi.org/10.30997/ijar.v4i1.283","is_oa":true,"landing_page_url":"http://dx.doi.org/10.30997/ijar.v4i1.283","pdf_url":"https://iojs.unida.ac.id/index.php/IJAR/article/download/283/148","source":{"id":"https://openalex.org/S4210186775","display_name":"Indonesian Journal of Applied Research (IJAR)","issn_l":"2722-6395","issn":["2722-6395"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I4210111749","host_organization_name":"Universitas Djuanda","host_organization_lineage":["https://openalex.org/I4210111749"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Applied Research (IJAR)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.30997/ijar.v4i1.283","doi":"https://doi.org/10.30997/ijar.v4i1.283","is_oa":true,"landing_page_url":"http://dx.doi.org/10.30997/ijar.v4i1.283","pdf_url":"https://iojs.unida.ac.id/index.php/IJAR/article/download/283/148","source":{"id":"https://openalex.org/S4210186775","display_name":"Indonesian Journal of Applied Research (IJAR)","issn_l":"2722-6395","issn":["2722-6395"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I4210111749","host_organization_name":"Universitas Djuanda","host_organization_lineage":["https://openalex.org/I4210111749"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Applied Research (IJAR)","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.9405999779701233},{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.8974000215530396}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366452408.pdf","grobid_xml":"https://content.openalex.org/works/W4366452408.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1507266424","https://openalex.org/W1599043334","https://openalex.org/W1987543819","https://openalex.org/W1994382121","https://openalex.org/W2071936897","https://openalex.org/W2412247133","https://openalex.org/W2879950287","https://openalex.org/W2891252199","https://openalex.org/W2896803035","https://openalex.org/W2903026178","https://openalex.org/W2957606078","https://openalex.org/W2978447998","https://openalex.org/W3120577481","https://openalex.org/W3122469116","https://openalex.org/W3134516631","https://openalex.org/W3153754320","https://openalex.org/W3186057097","https://openalex.org/W3186300495","https://openalex.org/W3187389348","https://openalex.org/W4226136145","https://openalex.org/W4232762433","https://openalex.org/W4280547604"],"related_works":["https://openalex.org/W4388552053","https://openalex.org/W2790150421","https://openalex.org/W3153754320","https://openalex.org/W2902448481","https://openalex.org/W2994691328","https://openalex.org/W7223178515","https://openalex.org/W4401636471","https://openalex.org/W3214986263","https://openalex.org/W2740080660","https://openalex.org/W4280508841"],"abstract_inverted_index":{"Poverty":[0],"is":[1,64,81],"still":[2],"a":[3,56,144],"significant":[4],"problem":[5],"in":[6,83,116,130],"Indonesian":[7],"development.":[8],"The":[9,61,74,86,119],"poverty":[10,41,70,134,138],"alleviation":[11,139],"programs":[12],"implemented":[13],"have":[14],"yet":[15],"to":[16,19,33],"pay":[17],"attention":[18],"spatial":[20,78,125],"aspects,":[21],"so":[22,149],"the":[23,35,40,47,122],"policies":[24,148],"are":[25],"often":[26],"not":[27],"on":[28],"target.":[29],"This":[30],"study":[31,75],"aims":[32],"reveal":[34],"spatially":[36],"varying":[37],"relationships":[38],"between":[39],"level":[42],"and":[43,50,80,95,108],"its":[44],"factors":[45],"at":[46,110],"regional":[48,131],"scale":[49],"compare":[51],"three":[52],"fixed":[53],"kernels":[54],"as":[55,143],"weighting":[57],"matrix":[58],"for":[59,72,146],"GWR.":[60],"method":[62],"used":[63,142],"geographically":[65],"weighted":[66],"regression":[67],"(GWR)":[68],"with":[69,97],"data":[71],"2021.":[73],"results":[76,120],"show":[77,113],"autocorrelation":[79],"grouped":[82],"29":[84],"regencies/cities.":[85],"expenditure":[87],"per":[88],"Capita,":[89],"life":[90],"expectancy,":[91],"percentage":[92],"of":[93],"houses":[94],"households":[96],"proper":[98],"drinking":[99],"water,":[100],"open":[101],"unemployment":[102],"rate,":[103,107],"labor":[104],"force":[105],"participation":[106],"GDP":[109],"constant":[111],"prices":[112],"different":[114],"effects":[115],"each":[117],"region.":[118],"strengthen":[121],"argument":[123],"that":[124,150],"aspects":[126],"cannot":[127],"be":[128,141,153],"ignored":[129],"development,":[132],"especially":[133],"alleviation.":[135],"Therefore,":[136],"area-based":[137],"can":[140,152],"basis":[145],"determining/determining":[147],"they":[151],"more":[154],"targeted.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-04-22T00:00:00"}