{"id":"https://openalex.org/W3172717264","doi":"https://doi.org/10.1145/3457609","title":"Spatial Interpolation Techniques on Participatory Sensing Data","display_name":"Spatial Interpolation Techniques on Participatory Sensing Data","publication_year":2021,"publication_date":"2021-06-08","ids":{"openalex":"https://openalex.org/W3172717264","doi":"https://doi.org/10.1145/3457609","mag":"3172717264"},"language":"en","primary_location":{"id":"doi:10.1145/3457609","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3457609","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","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/A5090399155","display_name":"Asif Iqbal Middya","orcid":"https://orcid.org/0000-0001-6558-4930"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Asif Iqbal Middya","raw_affiliation_strings":["Jadavpur University, Jadavpur, Kolkata, West Bengal, India"],"affiliations":[{"raw_affiliation_string":"Jadavpur University, Jadavpur, Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066969401","display_name":"Sarbani Roy","orcid":"https://orcid.org/0000-0002-7598-8266"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sarbani Roy","raw_affiliation_strings":["Jadavpur University, Jadavpur, Kolkata, West Bengal, India"],"affiliations":[{"raw_affiliation_string":"Jadavpur University, Jadavpur, Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I170979836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090399155"],"corresponding_institution_ids":["https://openalex.org/I170979836"],"apc_list":null,"apc_paid":null,"fwci":4.152,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.93716617,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"7","issue":"3","first_page":"1","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11692","display_name":"Noise Effects and Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11692","display_name":"Noise Effects and Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9900000095367432,"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"}},{"id":"https://openalex.org/T10692","display_name":"Urban Green Space and Health","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/computer-science","display_name":"Computer science","score":0.7340227365493774},{"id":"https://openalex.org/keywords/inverse-distance-weighting","display_name":"Inverse distance weighting","score":0.7235298752784729},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.6742451190948486},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6683938503265381},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6126532554626465},{"id":"https://openalex.org/keywords/noise-pollution","display_name":"Noise pollution","score":0.5656389594078064},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5317306518554688},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.50928795337677},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.48161500692367554},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.47269466519355774},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4551706910133362},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.44655340909957886},{"id":"https://openalex.org/keywords/participatory-sensing","display_name":"Participatory sensing","score":0.42861244082450867},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3717578649520874},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3035910725593567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23876351118087769},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.22696948051452637},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20234373211860657},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18449416756629944},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.13374412059783936},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.10772338509559631}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7340227365493774},{"id":"https://openalex.org/C47872207","wikidata":"https://www.wikidata.org/wiki/Q1430701","display_name":"Inverse distance weighting","level":4,"score":0.7235298752784729},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.6742451190948486},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6683938503265381},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6126532554626465},{"id":"https://openalex.org/C130858481","wikidata":"https://www.wikidata.org/wiki/Q92251","display_name":"Noise pollution","level":3,"score":0.5656389594078064},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5317306518554688},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.50928795337677},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.48161500692367554},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.47269466519355774},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4551706910133362},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.44655340909957886},{"id":"https://openalex.org/C2779208394","wikidata":"https://www.wikidata.org/wiki/Q7140460","display_name":"Participatory sensing","level":2,"score":0.42861244082450867},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3717578649520874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3035910725593567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23876351118087769},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.22696948051452637},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20234373211860657},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18449416756629944},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.13374412059783936},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.10772338509559631},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3457609","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3457609","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1596571372","https://openalex.org/W1966419393","https://openalex.org/W1976535029","https://openalex.org/W1980685918","https://openalex.org/W1986149296","https://openalex.org/W1996749878","https://openalex.org/W2012528039","https://openalex.org/W2034979391","https://openalex.org/W2046357874","https://openalex.org/W2046779681","https://openalex.org/W2053697364","https://openalex.org/W2058336014","https://openalex.org/W2089055951","https://openalex.org/W2091396986","https://openalex.org/W2112738128","https://openalex.org/W2132504805","https://openalex.org/W2137772562","https://openalex.org/W2153211921","https://openalex.org/W2156221064","https://openalex.org/W2181907826","https://openalex.org/W2220412647","https://openalex.org/W2488174882","https://openalex.org/W2566958848","https://openalex.org/W2569842119","https://openalex.org/W2606357779","https://openalex.org/W2615264846","https://openalex.org/W2751927106","https://openalex.org/W2757886197","https://openalex.org/W2769787810","https://openalex.org/W2776735365","https://openalex.org/W2777881345","https://openalex.org/W2789727163","https://openalex.org/W2790222435","https://openalex.org/W2791127202","https://openalex.org/W2799544566","https://openalex.org/W2808183866","https://openalex.org/W2898727580","https://openalex.org/W2901775265","https://openalex.org/W2943165648","https://openalex.org/W2943584607","https://openalex.org/W2951420198","https://openalex.org/W2955925394","https://openalex.org/W2963199062","https://openalex.org/W2967046445","https://openalex.org/W3024361527","https://openalex.org/W3036759061","https://openalex.org/W3040119839","https://openalex.org/W3108669038","https://openalex.org/W4250664506","https://openalex.org/W4388284198"],"related_works":["https://openalex.org/W168467865","https://openalex.org/W2785584190","https://openalex.org/W3180612984","https://openalex.org/W2512393538","https://openalex.org/W69786412","https://openalex.org/W2363866393","https://openalex.org/W2021907765","https://openalex.org/W2317276408","https://openalex.org/W1491597151","https://openalex.org/W4286209816"],"abstract_inverted_index":{"Spatial":[0],"distributions":[1],"of":[2,4,24,42,45,71,83,183,190,224,256,267],"data":[3,121,236],"natural":[5],"phenomena":[6],"can":[7,18,33,135,159],"be":[8,19],"estimated":[9],"by":[10,178],"using":[11,123],"different":[12],"spatial":[13,84,108],"interpolation":[14,85,109],"techniques.":[15,86],"These":[16],"techniques":[17,110,134],"used":[20],"for":[21,94,213],"the":[22,36,81,156,191,222,235,246],"purpose":[23],"developing":[25],"urban":[26,38,98,173,188],"noise":[27,39,75,99,119,131,174],"pollution":[28,40,120,175],"monitoring":[29],"applications,":[30],"so":[31,152],"they":[32],"truly":[34],"describe":[35],"actual":[37],"scenario":[41],"any":[43],"region":[44],"interest":[46],"to":[47,59,64,128,275],"make":[48],"effective":[49,92],"and":[50,73,96,151,203,269,279],"informed":[51],"decisions.":[52],"In":[53,101],"this":[54,102],"context,":[55],"our":[56,166],"aim":[57],"is":[58,90,211,239,248,271],"use":[60],"IoT-cloud":[61],"based":[62,169],"framework":[63],"generate":[65,129],"dynamic":[66,130],"(i.e.,":[67],"changes":[68],"in":[69,186,221,254],"terms":[70,255],"time":[72,149],"space)":[74],"maps":[76],"as":[77,125,140],"a":[78,171,181,214,225],"service":[79],"with":[80,198],"help":[82],"Noise":[87],"map":[88],"generation":[89],"an":[91,161,187],"method":[93,209],"visualizing":[95],"assessing":[97],"pollution.":[100],"article,":[103],"we":[104,158],"have":[105],"proposed":[106,167,212],"three":[107],"(GLIDW,":[111],"I-GLIDW,":[112],"GLIDW-OK)":[113],"that":[114,220,263],"work":[115],"on":[116,155,170],"participatory":[117],"sensing-based":[118],"collected":[122,177],"smartphones":[124],"IoT":[126],"devices":[127],"maps.":[132],"Proposed":[133],"address":[136],"diverse":[137],"scenarios":[138],"such":[139],"sparse":[141],"datasets":[142],",":[143,146,150],"high":[144],"accuracy":[145],"better":[147],"response":[148],"on.":[153],"Depending":[154],"situation,":[157],"choose":[160],"appropriate":[162],"technique.":[163],"We":[164],"evaluate":[165],"methods":[168,277],"real-world":[172],"dataset":[176,227,247],"participants":[179],"over":[180,230],"period":[182],"two":[184],"years":[185],"area":[189],"city":[192],"Kolkata.":[193],"The":[194,208,217,259],"results":[195,218,260],"are":[196],"compared":[197,274],"inverse":[199],"distance":[200],"weighting":[201],"(IDW)":[202],"Ordinary":[204],"Kriging":[205],"(OK)":[206],"methods.":[207,232],"GLIDW":[210,228],"dense":[215,226],"dataset.":[216],"validate":[219],"case":[223],"dominates":[229,253],"other":[231],"But,":[233],"when":[234],"sparsity":[237],"level":[238],"medium,":[240],"I-GLIDW":[241,268],"performs":[242],"well.":[243],"However,":[244],"if":[245],"very":[249],"sparse,":[250],"then":[251],"GLIDW-OK":[252,270],"predictive":[257],"accuracy.":[258],"also":[261],"show":[262],"Relative":[264],"Improvement":[265],"(RI)":[266],"always":[272],"positive":[273],"baseline":[276],"IDW":[278],"OK.":[280]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}