Analysis of PCA with georeferenced data. An application in tourism industry

Fil: Luna, Laura Isabel. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.

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Detalles Bibliográficos
Autor principal: Luna, Laura Isabel
Formato: conferenceObject
Lenguaje:Inglés
Publicado: 2023
Materias:
Industry tourism
Spatial multivariate annalysis
Fuzzy k-means
Acceso en línea:http://hdl.handle.net/11086/549688
Aporte de:
Repositorio Digital Universitario (UNC) de Universidad Nacional de Córdoba
id I10-R141-11086-549688
record_format dspace
spelling I10-R141-11086-5496882024-07-10T12:05:10Z Analysis of PCA with georeferenced data. An application in tourism industry Luna, Laura Isabel Industry tourism Spatial multivariate annalysis Fuzzy k-means Fil: Luna, Laura Isabel. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina. The spatial analysis of the tourism characteristic activities allows us to generate information about the structure of tourism industry, which is necessary for decision making. In this work, toursim characteristic activities in the departments of Córdoba were mapped. The methodological innovation lies in the generation of statistics for multidimensional spatial data. Multivariate methods with and without spatial restrictions were studied and compared in their performance in the application context. The comparison showed that the spatial principal components analysis (MULTISPATI-PCA) yielded a higher degree of spatial structuring of the components that summarize tourism activities than principal components analysis (PCA). The maps of the summarized variables showed a higher level of structure with MULTISPATI-PCA. Departments were classified according to the participation of tourism activities in the value added of tourism using the spatial principal components obtained as input of the cluster fuzzy k-means analysis. Finally, a mapping was performed based on the participation of the tourism value added in the gross regional product of the different departments and the variations in the participation of the different activities that make up the aggregate was analyzed for the period 2001-2014. Fil: Luna, Laura Isabel. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina. Economía, Econometría 2023-10-26T18:09:09Z 2023-10-26T18:09:09Z 2019-09 conferenceObject 978-950-34-1854-3 http://hdl.handle.net/11086/549688 eng Licencia Creative Commons Atribución – No Comercial – Sin Obra Derivada 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ Impreso
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-141
collection Repositorio Digital Universitario (UNC)
language Inglés
topic Industry tourism
Spatial multivariate annalysis
Fuzzy k-means
spellingShingle Industry tourism
Spatial multivariate annalysis
Fuzzy k-means
Luna, Laura Isabel
Analysis of PCA with georeferenced data. An application in tourism industry
topic_facet Industry tourism
Spatial multivariate annalysis
Fuzzy k-means
description Fil: Luna, Laura Isabel. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
format conferenceObject
author Luna, Laura Isabel
author_facet Luna, Laura Isabel
author_sort Luna, Laura Isabel
title Analysis of PCA with georeferenced data. An application in tourism industry
title_short Analysis of PCA with georeferenced data. An application in tourism industry
title_full Analysis of PCA with georeferenced data. An application in tourism industry
title_fullStr Analysis of PCA with georeferenced data. An application in tourism industry
title_full_unstemmed Analysis of PCA with georeferenced data. An application in tourism industry
title_sort analysis of pca with georeferenced data. an application in tourism industry
publishDate 2023
url http://hdl.handle.net/11086/549688
work_keys_str_mv AT lunalauraisabel analysisofpcawithgeoreferenceddataanapplicationintourismindustry
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