{"id":"https://openalex.org/W7127075761","doi":"https://doi.org/10.1051/itmconf/20257504004/pdf","title":"The Linear Combination of ARIMA Models in Constructing the Areal Rainfall Using Thiessen Polygon Weighted Method","display_name":"The Linear Combination of ARIMA Models in Constructing the Areal Rainfall Using Thiessen Polygon Weighted Method","publication_year":2025,"publication_date":"2025-02-21","ids":{"openalex":"https://openalex.org/W7127075761","doi":"https://doi.org/10.1051/itmconf/20257504004/pdf"},"language":"en","primary_location":{"id":"pmh:oai:edpsciences.org:dkey/10.1051/itmconf/20257504004","doi":"https://doi.org/10.1051/itmconf/20257504004/pdf","is_oa":false,"landing_page_url":"https://www.itm-conferences.org/10.1051/itmconf/20257504004/pdf","pdf_url":"https://www.itm-conferences.org/10.1051/itmconf/20257504004/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/itmconf/20257504004","raw_type":"Text"},"volume":null,"type":"article","indexed_in":[],"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/A5115867835","display_name":"Muhammad Rozzaq Hamidi","orcid":"https://orcid.org/0009-0002-1498-5958","observed_orcids":["https://orcid.org/0009-0002-1498-5958"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhammad Rozzaq Hamidi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076317277","display_name":"Utriweni Mukhaiyar","orcid":"https://orcid.org/0000-0003-2353-7110","observed_orcids":["https://orcid.org/0000-0003-2353-7110"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Utriweni Mukhaiyar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114405286","display_name":"Elizabet Sri Rezeki","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elizabet Sri Rezeki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114405285","display_name":"Naila Ratu Dianti","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naila Ratu Dianti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116366178","display_name":"Abdan Maulana Rohat","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abdan Maulana Rohat","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40305041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9887999892234802,"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/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9887999892234802,"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.00559999980032444,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/areal-rainfall","display_name":"areal rainfall","score":0.8270000219345093},{"id":"https://openalex.org/keywords/voronoi-diagram","display_name":"Voronoi tessellation","score":0.8640000224113464},{"id":"https://openalex.org/keywords/arima-model","display_name":"ARIMA model","score":0.9430000185966492},{"id":"https://openalex.org/keywords/ar-1-model","display_name":"AR(1) model","score":0.9229999780654907},{"id":"https://openalex.org/keywords/rain-gauge-stations","display_name":"rain gauge stations","score":0.8769999742507935},{"id":"https://openalex.org/keywords/spatial-interpolation-of-rainfall","display_name":"spatial interpolation of rainfall","score":0.6679999828338623},{"id":"https://openalex.org/keywords/rainfall-modeling","display_name":"rainfall modeling","score":0.6330000162124634},{"id":"https://openalex.org/keywords/tasikmalaya","display_name":"Tasikmalaya","score":0.9120000004768372}],"concepts":[{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.748199999332428},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.7282999753952026},{"id":"https://openalex.org/C120961793","wikidata":"https://www.wikidata.org/wiki/Q190052","display_name":"Rain gauge","level":3,"score":0.5806000232696533},{"id":"https://openalex.org/C138695830","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial dependence","level":2,"score":0.44920000433921814},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.43230000138282776},{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.4122999906539917},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.34139999747276306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33489999175071716},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30979999899864197},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C158709400","wikidata":"https://www.wikidata.org/wiki/Q3578586","display_name":"Spatial ecology","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C41156917","wikidata":"https://www.wikidata.org/wiki/Q682831","display_name":"Downscaling","level":3,"score":0.27889999747276306},{"id":"https://openalex.org/C40976572","wikidata":"https://www.wikidata.org/wiki/Q2330873","display_name":"Gauge (firearms)","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2768000066280365},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C94747663","wikidata":"https://www.wikidata.org/wiki/Q7574086","display_name":"Spatial variability","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:edpsciences.org:dkey/10.1051/itmconf/20257504004","doi":"https://doi.org/10.1051/itmconf/20257504004/pdf","is_oa":false,"landing_page_url":"https://www.itm-conferences.org/10.1051/itmconf/20257504004/pdf","pdf_url":"https://www.itm-conferences.org/10.1051/itmconf/20257504004/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/itmconf/20257504004","raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.53329998254776,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"sustainable_development_goals_aurora":[{"score":0.6029840111732483,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,16,68,85],"construction":[1],"of":[2,26,49,65,77,106,136,165],"areal":[3,17,66,86,151],"rainfall":[4,18,29,39,54,76,87,123],"is":[5,111,116],"crucial":[6],"aspects":[7],"in":[8,30,33,63,82,124,145,170],"water":[9],"resource":[10],"management":[11],"and":[12,56,158],"disaster":[13],"risk":[14],"mitigation.":[15],"can":[19],"be":[20,42],"constructed":[21,90],"as":[22],"the":[23,27,34,38,47,92,103,107,114,117,121,140],"linear":[24,134,163],"combination":[25,135],"actual":[28,98,122],"each":[31,125],"stasion":[32],"respected":[35],"area.":[36,84],"Thus,":[37],"modeling":[40],"also":[41],"crucial.":[43],"This":[44,153],"research":[45,154],"explores":[46],"integration":[48],"ARIMA":[50,69],"models":[51,168],"for":[52,60,120,150],"temporal":[53],"analysis":[55,62,130],"Thiessen":[57,93],"polygon":[58,94],"method":[59,95],"spatial":[61,104],"contruction":[64],"rainfall.":[67,152],"was":[70,88],"used":[71],"to":[72],"model":[73,119,138,149],"monthly":[74],"cumulative":[75],"eight":[78],"rain":[79,126,141],"gauge":[80,127,142],"stations":[81,143],"Tasikmalaya":[83],"subsequently":[89],"using":[91],"based":[96],"on":[97],"rainfall,":[99],"taking":[100],"into":[101],"account":[102],"heterogeneity":[105],"observation":[108],"stations.":[109],"It":[110],"obtained":[112],"that":[113,132,161],"AR(1)":[115,137,148,167,173],"appropriate":[118],"station.":[128],"Further":[129],"showed":[131],"a":[133,146,162,171],"from":[139],"resulted":[144],"consistent":[147,172],"successfully":[155],"provided":[156],"practical":[157],"analytical":[159],"evidence":[160],"combinations":[164],"multiple":[166],"result":[169],"model.":[174]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2026-02-03T00:00:00"}
