{"id":"https://openalex.org/W4389135912","doi":"https://doi.org/10.3390/axioms12121094","title":"An Enhanced Spatial Capture Model for Population Analysis Using Unidentified Counts through Camera Encounters","display_name":"An Enhanced Spatial Capture Model for Population Analysis Using Unidentified Counts through Camera Encounters","publication_year":2023,"publication_date":"2023-11-29","ids":{"openalex":"https://openalex.org/W4389135912","doi":"https://doi.org/10.3390/axioms12121094"},"language":"en","primary_location":{"id":"doi:10.3390/axioms12121094","is_oa":true,"landing_page_url":"https://doi.org/10.3390/axioms12121094","pdf_url":"https://www.mdpi.com/2075-1680/12/12/1094/pdf?version=1701262900","source":{"id":"https://openalex.org/S4210173132","display_name":"Axioms","issn_l":"2075-1680","issn":["2075-1680"],"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":"Axioms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2075-1680/12/12/1094/pdf?version=1701262900","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084744256","display_name":"Mohamed Jaber","orcid":"https://orcid.org/0000-0003-2536-1913"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Jaber","raw_affiliation_strings":["Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA","institution_ids":["https://openalex.org/I106959904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090986149","display_name":"Farag Hamad","orcid":null},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farag Hamad","raw_affiliation_strings":["Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA","institution_ids":["https://openalex.org/I106959904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043792418","display_name":"Robert D. Breininger","orcid":null},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert D. Breininger","raw_affiliation_strings":["Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA","institution_ids":["https://openalex.org/I106959904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073288182","display_name":"Nezamoddin N. Kachouie","orcid":"https://orcid.org/0000-0001-9397-1807"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nezamoddin N. Kachouie","raw_affiliation_strings":["Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA","institution_ids":["https://openalex.org/I106959904"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073288182"],"corresponding_institution_ids":["https://openalex.org/I106959904"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.5786,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85238515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"12","issue":"12","first_page":"1094","last_page":"1094"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13546","display_name":"Census and Population Estimation","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13546","display_name":"Census and Population Estimation","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10199","display_name":"Wildlife Ecology and Conservation","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T11913","display_name":"Animal Ecology and Behavior Studies","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/population-size","display_name":"Population size","score":0.800186276435852},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.7384002208709717},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6730666160583496},{"id":"https://openalex.org/keywords/population-model","display_name":"Population model","score":0.5032791495323181},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4727538526058197},{"id":"https://openalex.org/keywords/binomial-distribution","display_name":"Binomial distribution","score":0.4655749499797821},{"id":"https://openalex.org/keywords/negative-binomial-distribution","display_name":"Negative binomial distribution","score":0.45671311020851135},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.42663419246673584},{"id":"https://openalex.org/keywords/mark-and-recapture","display_name":"Mark and recapture","score":0.42026475071907043},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.40667006373405457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4065791666507721},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3719100058078766},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.17434081435203552},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.10318231582641602}],"concepts":[{"id":"https://openalex.org/C169733012","wikidata":"https://www.wikidata.org/wiki/Q1613416","display_name":"Population size","level":3,"score":0.800186276435852},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.7384002208709717},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6730666160583496},{"id":"https://openalex.org/C52079815","wikidata":"https://www.wikidata.org/wiki/Q7229808","display_name":"Population model","level":3,"score":0.5032791495323181},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4727538526058197},{"id":"https://openalex.org/C41054675","wikidata":"https://www.wikidata.org/wiki/Q185547","display_name":"Binomial distribution","level":2,"score":0.4655749499797821},{"id":"https://openalex.org/C199335787","wikidata":"https://www.wikidata.org/wiki/Q743364","display_name":"Negative binomial distribution","level":3,"score":0.45671311020851135},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.42663419246673584},{"id":"https://openalex.org/C36528806","wikidata":"https://www.wikidata.org/wiki/Q796147","display_name":"Mark and recapture","level":3,"score":0.42026475071907043},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40667006373405457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4065791666507721},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3719100058078766},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.17434081435203552},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.10318231582641602},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/axioms12121094","is_oa":true,"landing_page_url":"https://doi.org/10.3390/axioms12121094","pdf_url":"https://www.mdpi.com/2075-1680/12/12/1094/pdf?version=1701262900","source":{"id":"https://openalex.org/S4210173132","display_name":"Axioms","issn_l":"2075-1680","issn":["2075-1680"],"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":"Axioms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:365ff179f5424e96a83aa9685a91d010","is_oa":true,"landing_page_url":"https://doaj.org/article/365ff179f5424e96a83aa9685a91d010","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Axioms, Vol 12, Iss 12, p 1094 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/axioms12121094","is_oa":true,"landing_page_url":"https://doi.org/10.3390/axioms12121094","pdf_url":"https://www.mdpi.com/2075-1680/12/12/1094/pdf?version=1701262900","source":{"id":"https://openalex.org/S4210173132","display_name":"Axioms","issn_l":"2075-1680","issn":["2075-1680"],"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":"Axioms","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4389135912.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1748192004","https://openalex.org/W1953147567","https://openalex.org/W1975633784","https://openalex.org/W1976075926","https://openalex.org/W1981350897","https://openalex.org/W1991291766","https://openalex.org/W2005690259","https://openalex.org/W2009985766","https://openalex.org/W2034427376","https://openalex.org/W2062191374","https://openalex.org/W2063523103","https://openalex.org/W2068002455","https://openalex.org/W2076364172","https://openalex.org/W2084734423","https://openalex.org/W2087311707","https://openalex.org/W2096971206","https://openalex.org/W2096999817","https://openalex.org/W2114661874","https://openalex.org/W2135497302","https://openalex.org/W2247855742","https://openalex.org/W2271361270","https://openalex.org/W2475752340","https://openalex.org/W2498805680","https://openalex.org/W2525866717","https://openalex.org/W3100646958","https://openalex.org/W3159440844","https://openalex.org/W4367181672","https://openalex.org/W4367293483","https://openalex.org/W4376957559","https://openalex.org/W6637680519","https://openalex.org/W6727367358"],"related_works":["https://openalex.org/W4224259337","https://openalex.org/W1965390752","https://openalex.org/W2037403216","https://openalex.org/W4386000183","https://openalex.org/W2069101670","https://openalex.org/W209156306","https://openalex.org/W1602555103","https://openalex.org/W2097864946","https://openalex.org/W3146654233","https://openalex.org/W2017840770"],"abstract_inverted_index":{"Spatial":[0,12],"capture":[1,13,161,189,215,242,253],"models":[2,14,162,190],"are":[3],"broadly":[4],"used":[5],"for":[6,15],"population":[7,30,58,79,102,116,121,132,152,157,172,236],"analysis":[8],"in":[9,99,159,174,187,203,247],"ecological":[10],"statistics.":[11],"unidentified":[16],"individuals":[17],"rely":[18],"on":[19,149],"data":[20,198],"augmentation":[21],"to":[22,72,104,166,176,217],"create":[23],"a":[24,41,61,82,96,170,192],"zero-inflated":[25,171],"population.":[26],"The":[27],"unknown":[28,46,53,65,78,93,114],"true":[29,106,115,131],"size":[31,59,117,133,158,168,237],"can":[32,108],"be":[33,73,109],"considered":[34],"as":[35,128,191],"the":[36,64,77,84,92,100,105,113,119,130,135,142,150,155,167,177,208,213,222,226,229,234,239,250],"number":[37,47,66],"of":[38,40,48,55,63,67,86,88,137,144,169,180,212,224,228],"successes":[39],"binomial":[42,89],"distribution":[43],"with":[44,196,221,249],"an":[45,52,125,184],"independent":[49],"trials":[50,68],"and":[51,69,141,173,210],"probability":[54,85,94,136,179],"success.":[56,181],"Augmented":[57],"is":[60,70,124,139,163,183],"realization":[62],"recommended":[71],"much":[74],"larger":[75],"than":[76],"size.":[80,122,153],"As":[81],"result,":[83],"success":[87,138],"distribution,":[90],"i.e.,":[91],"that":[95,233],"hypothetical":[97],"individual":[98],"augmented":[101,120,151],"belongs":[103],"population,":[107],"obtained":[110],"by":[111,118],"dividing":[112],"This":[123,182],"inverse":[126],"problem":[127,220],"neither":[129],"nor":[134],"known,":[140],"accuracy":[143,211],"their":[145],"estimates":[146],"strongly":[147],"relies":[148],"Therefore,":[154],"estimated":[156,178,235],"spatial":[160,188,214,252],"very":[164],"sensitive":[165],"turn":[175],"important":[185],"issue":[186],"typical":[193],"count":[194],"model":[195,216,243],"censored":[197],"(unidentified":[199],"and/or":[200],"undetected).":[201],"Hence,":[202],"this":[204,219],"research,":[205],"we":[206],"investigated":[207],"sensitivity":[209],"address":[218],"objective":[223],"improving":[225],"robustness":[227],"model.":[230,254],"We":[231],"demonstrated":[232],"using":[238],"proposed":[240],"enhanced":[241],"was":[244],"more":[245],"accurate":[246],"comparison":[248],"previous":[251]},"counts_by_year":[{"year":2024,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}