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Depopulation of Portugal’s interior

2024Conference object Open access
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dc.contributor.authorSuavinha, Bárbara
dc.contributor.authorAlves, Maria
dc.contributor.authorMagalhães, Marta
dc.contributor.authorBabo, Lurdes
dc.contributor.authorTorres, Cristina
dc.contributor.authorVieira, Isabel
dc.contributor.authorLopes, Isabel Cristina
dc.date.accessioned2024-05-15T10:05:13Z
dc.date.available2024-05-15T10:05:13Z
dc.date.issued2024
dc.description.abstractThe depopulation of Portugal’s interior presents a crucial socio-demographic challenge, manifesting in widening disparities between major cities and inland regions. This study examines factors influencing depopulation in Portuguese municipalities, using data from PORDATA (2022). Through Linear Discriminant Analysis on twenty quantitative variables spanning education, demographics, health, and employment, municipalities are categorised by population density. The analysis reveals significant differences between groups across all variables, reinforcing the differentiation by population density. The model achieves a 71.2% correct classification rate, highlighting education and health variables as pivotal contributors to group discrimination.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.issn978-989-35097-1-5
dc.identifier.urihttp://hdl.handle.net/10400.22/25505
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherCLADpt_PT
dc.relationThis work is financed by Portuguese national funds through FCT - Funda¸c˜ao para a Ciˆencia e Tecnologia, under the project UIDB/05422/2020.pt_PT
dc.relation.publisherversionhttps://drive.google.com/file/d/14OJYHgrWLOW1uAixtSNo3kE-NGci5KVK/viewpt_PT
dc.subjectdiscriminant analysispt_PT
dc.subjectPortuguese municipalitiespt_PT
dc.subjectdepopulationpt_PT
dc.titleDepopulation of Portugal’s interiorpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLeiriapt_PT
oaire.citation.titleXXXI Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD 2024)pt_PT
person.familyNamebabo
person.familyNamePereira Torres
person.familyNameVieira
person.familyNameLopes
person.givenNamelurdes
person.givenNameCristina
person.givenNameIsabel
person.givenNameIsabel Cristina
person.identifier2277025
person.identifier.ciencia-id061D-F07E-1BBD
person.identifier.ciencia-id111C-A2B8-EBB4
person.identifier.ciencia-id7312-2D3B-F677
person.identifier.ciencia-idBC14-DF88-AEBC
person.identifier.orcid0000-0001-5090-8736
person.identifier.orcid0000-0002-8644-2381
person.identifier.orcid0000-0002-2943-7578
person.identifier.orcid0000-0002-4833-470X
person.identifier.ridA-6977-2017
person.identifier.ridA-7445-2017
person.identifier.ridL-7458-2017
person.identifier.scopus-author-id57194870912
person.identifier.scopus-author-id57212003105
person.identifier.scopus-author-id35204338400
person.identifier.scopus-author-id36185835200
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication604fc275-7cb1-42f5-87d5-6c5ad18dcf81
relation.isAuthorOfPublication7ff54c60-dca4-47c1-8c5a-6fd3f7d727e0
relation.isAuthorOfPublication537ed579-f575-4d2b-814e-ae6b7a824572
relation.isAuthorOfPublication70af5a18-432a-4ef9-862d-c5a79581c255
relation.isAuthorOfPublication.latestForDiscovery604fc275-7cb1-42f5-87d5-6c5ad18dcf81

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