{"id":"https://openalex.org/W4289133118","doi":"https://doi.org/10.3390/ijgi11080430","title":"Adaptive Geometric Interval Classifier","display_name":"Adaptive Geometric Interval Classifier","publication_year":2022,"publication_date":"2022-07-31","ids":{"openalex":"https://openalex.org/W4289133118","doi":"https://doi.org/10.3390/ijgi11080430"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi11080430","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11080430","pdf_url":"https://www.mdpi.com/2220-9964/11/8/430/pdf?version=1660011340","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/11/8/430/pdf?version=1660011340","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100415882","display_name":"Shuang Li","orcid":"https://orcid.org/0000-0001-7275-0730"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuang Li","raw_affiliation_strings":["School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043731325","display_name":"Jie Shan","orcid":"https://orcid.org/0000-0002-1948-9657"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jie Shan","raw_affiliation_strings":["School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043731325"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.808,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.84407838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"11","issue":"8","first_page":"430","last_page":"430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11186","display_name":"Hydrology and Drought Analysis","score":0.993399977684021,"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"}},"topics":[{"id":"https://openalex.org/T11186","display_name":"Hydrology and Drought Analysis","score":0.993399977684021,"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9923999905586243,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9835000038146973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6085038781166077},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5527486205101013},{"id":"https://openalex.org/keywords/thematic-map","display_name":"Thematic map","score":0.5317503213882446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5288000702857971},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.5253638029098511},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.46012258529663086},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45479869842529297},{"id":"https://openalex.org/keywords/data-classification","display_name":"Data classification","score":0.4218939542770386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36938217282295227},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36300337314605713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3257180452346802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29314613342285156},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2003684639930725},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.13145798444747925},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12409549951553345},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09501901268959045}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6085038781166077},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5527486205101013},{"id":"https://openalex.org/C93692415","wikidata":"https://www.wikidata.org/wiki/Q1502030","display_name":"Thematic map","level":2,"score":0.5317503213882446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5288000702857971},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.5253638029098511},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.46012258529663086},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45479869842529297},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.4218939542770386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36938217282295227},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36300337314605713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3257180452346802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29314613342285156},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2003684639930725},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.13145798444747925},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12409549951553345},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09501901268959045},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi11080430","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11080430","pdf_url":"https://www.mdpi.com/2220-9964/11/8/430/pdf?version=1660011340","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fb7a76506cd94fd7a558ec9154d8e283","is_oa":true,"landing_page_url":"https://doaj.org/article/fb7a76506cd94fd7a558ec9154d8e283","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 11, Iss 8, p 430 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/11/8/430/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi11080430","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information; Volume 11; Issue 8; Pages: 430","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi11080430","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11080430","pdf_url":"https://www.mdpi.com/2220-9964/11/8/430/pdf?version=1660011340","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289133118.pdf","grobid_xml":"https://content.openalex.org/works/W4289133118.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1566404621","https://openalex.org/W1907711677","https://openalex.org/W1956091511","https://openalex.org/W1966157977","https://openalex.org/W1976622778","https://openalex.org/W1984655801","https://openalex.org/W1995875735","https://openalex.org/W2000645565","https://openalex.org/W2005308733","https://openalex.org/W2009419646","https://openalex.org/W2030134103","https://openalex.org/W2034439306","https://openalex.org/W2092104274","https://openalex.org/W2096608356","https://openalex.org/W2162503628","https://openalex.org/W2314401178","https://openalex.org/W2408377373","https://openalex.org/W2600778237","https://openalex.org/W2754217488","https://openalex.org/W2773326077","https://openalex.org/W2979804492","https://openalex.org/W3011400958","https://openalex.org/W3091457471","https://openalex.org/W3104034446","https://openalex.org/W3114063012","https://openalex.org/W3171754815","https://openalex.org/W3175813848","https://openalex.org/W3176012307","https://openalex.org/W3207540128","https://openalex.org/W3208483280","https://openalex.org/W4230765542","https://openalex.org/W4242100153","https://openalex.org/W4283787290","https://openalex.org/W6608351394","https://openalex.org/W6682193038","https://openalex.org/W6744066867","https://openalex.org/W6775047284","https://openalex.org/W6802448620"],"related_works":["https://openalex.org/W1488761988","https://openalex.org/W2044551864","https://openalex.org/W1572557500","https://openalex.org/W3124946120","https://openalex.org/W4390690393","https://openalex.org/W2291311298","https://openalex.org/W2047938026","https://openalex.org/W2585269888","https://openalex.org/W3132003399","https://openalex.org/W4293365552"],"abstract_inverted_index":{"Quantile,":[0],"equal":[1],"interval,":[2],"and":[3,16,44,72,113,119,145,163],"natural":[4],"breaks":[5],"methods":[6,12,133],"are":[7,123],"widely":[8],"used":[9,124],"data":[10,22,118,157],"classification":[11,46,60,68,132,158],"in":[13,125],"geospatial":[14,165],"analysis":[15],"cartography.":[17],"However,":[18],"when":[19],"applied":[20],"to":[21,42,83,100,110,141],"with":[23,130],"skewed":[24],"distributions,":[25],"they":[26],"can":[27,151],"only":[28,81],"reveal":[29],"the":[30,135],"variations":[31],"of":[32,137],"either":[33],"high":[34],"frequent":[35],"values":[36],"or":[37],"extremes,":[38],"which":[39],"often":[40],"leads":[41],"undesired":[43],"biased":[45],"results.":[47],"To":[48],"handle":[49,111],"this":[50,126],"problem,":[51],"Esri":[52],"provided":[53],"a":[54,95,155],"compromise":[55],"method,":[56],"named":[57],"geometric":[58],"interval":[59],"(GIC).":[61],"Although":[62],"GIC":[63,78,93,109,138],"performs":[64],"well":[65],"for":[66,160],"various":[67],"tasks,":[69],"its":[70],"mathematics":[71],"solution":[73],"process":[74],"remain":[75],"unclear.":[76],"Moreover,":[77],"is":[79],"theoretically":[80],"applicable":[82],"single-peak":[84],"(single-modal),":[85],"one-dimensional":[86],"data.":[87,115],"This":[88],"paper":[89],"first":[90],"mathematically":[91],"formulates":[92],"as":[94,154],"general":[96,156],"optimization":[97],"problem":[98],"subject":[99],"equality":[101],"constraint.":[102],"We":[103],"then":[104],"further":[105],"adapt":[106],"such":[107],"formulated":[108],"multi-peak":[112],"multi-dimensional":[114],"Both":[116],"thematic":[117,161],"remote":[120],"sensing":[121],"images":[122],"study.":[127],"The":[128],"comparison":[129],"other":[131,164],"demonstrates":[134],"advantage":[136],"being":[139],"able":[140],"highlight":[142],"both":[143],"middle":[144],"extreme":[146],"values.":[147],"As":[148],"such,":[149],"it":[150],"be":[152],"regarded":[153],"approach":[159],"mapping":[162],"applications.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2022-08-01T00:00:00"}
