1 resultado para Invariant set
em Universidad de Alicante
Filtro por publicador
- JISC Information Environment Repository (9)
- Aberystwyth University Repository - Reino Unido (3)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (4)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (7)
- Aquatic Commons (8)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (4)
- Archive of European Integration (3)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (15)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (26)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (40)
- Boston University Digital Common (14)
- Brock University, Canada (9)
- Bucknell University Digital Commons - Pensilvania - USA (6)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- CaltechTHESIS (15)
- Cambridge University Engineering Department Publications Database (100)
- CentAUR: Central Archive University of Reading - UK (66)
- Center for Jewish History Digital Collections (12)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (44)
- Cochin University of Science & Technology (CUSAT), India (7)
- Collection Of Biostatistics Research Archive (5)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (2)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (78)
- Department of Computer Science E-Repository - King's College London, Strand, London (5)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (3)
- Digital Commons - Michigan Tech (2)
- Digital Commons - Montana Tech (1)
- Digital Knowledge Repository of Central Drug Research Institute (1)
- DigitalCommons@University of Nebraska - Lincoln (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (6)
- Greenwich Academic Literature Archive - UK (2)
- Helda - Digital Repository of University of Helsinki (15)
- Indian Institute of Science - Bangalore - Índia (75)
- Instituto Politécnico do Porto, Portugal (5)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (3)
- Massachusetts Institute of Technology (8)
- Ministerio de Cultura, Spain (3)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (10)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (96)
- Queensland University of Technology - ePrints Archive (87)
- Repositório digital da Fundação Getúlio Vargas - FGV (5)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Digital da Universidade Municipal de São Caetano do Sul - USCS (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (106)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- School of Medicine, Washington University, United States (5)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (1)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (6)
- Universitat de Girona, Spain (21)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (8)
- University of Queensland eSpace - Australia (1)
- University of Southampton, United Kingdom (12)
- University of Washington (2)
Resumo:
The aim of this paper is to propose a mathematical model to determine invariant sets, set covering, orbits and, in particular, attractors in the set of tourism variables. Analysis was carried out based on a pre-designed algorithm and applying our interpretation of chaos theory developed in the context of General Systems Theory. This article sets out the causal relationships associated with tourist flows in order to enable the formulation of appropriate strategies. Our results can be applied to numerous cases. For example, in the analysis of tourist flows, these findings can be used to determine whether the behaviour of certain groups affects that of other groups and to analyse tourist behaviour in terms of the most relevant variables. Unlike statistical analyses that merely provide information on current data, our method uses orbit analysis to forecast, if attractors are found, the behaviour of tourist variables in the immediate future.