{"id":"https://openalex.org/W2088739173","doi":"https://doi.org/10.1007/s11806-011-0590-0","title":"Discriminant models for uncertainty characterization in area class change categorization","display_name":"Discriminant models for uncertainty characterization in area class change categorization","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2088739173","doi":"https://doi.org/10.1007/s11806-011-0590-0","mag":"2088739173"},"language":"en","primary_location":{"id":"doi:10.1007/s11806-011-0590-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11806-011-0590-0","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1007/s11806-011-0590-0?needAccess=true&role=button","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Geo-spatial Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1007/s11806-011-0590-0?needAccess=true&role=button","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073457865","display_name":"Jingxiong Zhang","orcid":"https://orcid.org/0000-0001-8036-5293"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingxiong Zhang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering , Wuhan University , Wuhan , China","School of Remote Sensing and information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering , Wuhan University , Wuhan , China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076936564","display_name":"Jiong You","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiong You","raw_affiliation_strings":["School of Remote Sensing and Information Engineering , Wuhan University , Wuhan , China","School of Remote Sensing and information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering , Wuhan University , Wuhan , China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":1625,"currency":"GBP","value_usd":1993},"apc_paid":{"value":1625,"currency":"GBP","value_usd":1993},"fwci":0.5139,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72105627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"14","issue":"4","first_page":"255","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9621000289916992,"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"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9587000012397766,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/categorical-variable","display_name":"Categorical variable","score":0.7423068284988403},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.648524820804596},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6419665813446045},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.636168360710144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5650920271873474},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5580913424491882},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5459463000297546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5308996438980103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48603278398513794},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.458842396736145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4422885477542877},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4207223057746887},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4176982343196869},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37208378314971924}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7423068284988403},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.648524820804596},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6419665813446045},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.636168360710144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5650920271873474},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5580913424491882},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5459463000297546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5308996438980103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48603278398513794},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.458842396736145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4422885477542877},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4207223057746887},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4176982343196869},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37208378314971924}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11806-011-0590-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11806-011-0590-0","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1007/s11806-011-0590-0?needAccess=true&role=button","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Geo-spatial Information Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11806-011-0590-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11806-011-0590-0","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1007/s11806-011-0590-0?needAccess=true&role=button","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Geo-spatial Information Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2088739173.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W181107242","https://openalex.org/W1849474684","https://openalex.org/W1989565268","https://openalex.org/W1998398443","https://openalex.org/W2022597835","https://openalex.org/W2048303399","https://openalex.org/W2068211709","https://openalex.org/W2111512695","https://openalex.org/W2114828048","https://openalex.org/W2120085530","https://openalex.org/W2132503437","https://openalex.org/W2289111842","https://openalex.org/W4239032219"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W3147024994","https://openalex.org/W1978302214","https://openalex.org/W2374055396","https://openalex.org/W2063246903","https://openalex.org/W2021817983","https://openalex.org/W3021047493","https://openalex.org/W2371177901"],"abstract_inverted_index":{"Discriminant":[0,16],"space":[1],"defining":[2],"area":[3,34,60],"classes":[4,35,61,110],"is":[5],"an":[6],"important":[7],"conceptual":[8],"construct":[9],"for":[10,51],"uncertainty":[11,58,105,115,136],"characterization":[12,116],"in":[13,25,30,40,59,117],"area-class":[14,26],"maps.":[15,96],"models":[17],"were":[18,84],"promoted":[19],"as":[20],"they":[21],"can":[22],"enhance":[23],"consistency":[24],"mapping":[27],"and":[28,69,73,87,111,129,143],"replicability":[29],"error":[31],"modeling.":[32],"As":[33],"are":[36,101],"rarely":[37],"completely":[38],"separable":[39],"empirically":[41],"realized":[42],"discriminant":[43,124],"space,":[44],"where":[45],"class":[46],"inseparability":[47],"becomes":[48],"more":[49],"complicated":[50],"change":[52,63,95,118],"categorization,":[53],"we":[54],"seek":[55],"to":[56,66,93,108,138],"quantify":[57],"(and":[62],"classes)":[64],"due":[65,137],"measurement":[67,127,141],"errors":[68,128],"semantic":[70,130],"discrepancy":[71],"separately":[72],"hence":[74],"assess":[75],"their":[76],"relative":[77],"margins":[78],"objectively.":[79],"Experiments":[80],"using":[81],"real":[82],"datasets":[83],"carried":[85],"out,":[86],"a":[88],"Bayesian":[89],"method":[90],"was":[91],"used":[92],"obtain":[94],"We":[97],"found":[98],"that":[99],"there":[100],"large":[102],"differences":[103],"between":[104],"statistics":[106],"referring":[107],"data":[109],"information":[112],"classes.":[113],"Therefore,":[114],"categorization":[119],"should":[120],"be":[121],"based":[122],"on":[123],"modeling":[125],"of":[126,135],"mismatch":[131],"analysis,":[132],"enabling":[133],"quantification":[134],"partially":[139],"random":[140],"errors,":[142],"systematic":[144],"categorical":[145],"discrepancies,":[146],"respectively.":[147]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
