17 resultados para Castelo de São Jorge (Lisboa, Portugal)
em Universidade dos Açores - Portugal
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Dissertação de Mestrado, Património, Museologia e Desenvolvimento, 7 de Outubro de 2013, Universidade dos Açores.
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Tese de Doutoramento em Geologia, especialidade de Geodesia.
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Tourism contributes to the development of many regions. Different factors affect the movement of tourists within a destination. Those factors are related to the tourist characteristics, like the time budgets, preferences or destination knowledge, and to the destination features, like the attraction characteristics or accessibility level. Tourist decisions aren’t always done in a rational way. Emotions add further complexity to the human decision process. The use of footpaths can play an important role in the satisfaction of tourists, helping them discover the territory and giving them access to different types of attractions. The existence of a mathematical model that integrates the main factors related to the movement of independent tourists within a destination, in a dynamic way, will make possible the creation of an adaptable software tool. This tool will meet the specific needs of tourists, allowing the use of the network in an optimal way by the different tourist profiles, and the needs of the regional government and business, permitting better decisions and the offer of relevant tourism products. This article identifies the main tourists’ mobility criteria in the São Miguel island territory, Azores, Portugal, recognizes the necessary modelling process and identifies the basis for the construction of the mathematical model that explains the movement of tourists within the destination.
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XXI Jornadas de Classificação e Análise de Dados (JOCLAD 2014). 10-12 Abril, 2014, INE, Lisboa, Portugal (Comunicação).
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Tese de Doutoramento, Geologia (Hidrogeologia), 17 de Dezembro de 2013, Universidade dos Açores.
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Dissertação de Mestrado, Biodiversidade e Ecologia Insular, 4 de Abril de 2014, Universidade dos Açores.
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XXI Jornadas de Classificação e Análise de Dados (JOCLAD 2014). 10-12 Abril, 2014, INE, Lisboa, Portugal (Comunicação).
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Copyright © 2014 Magnolia Press.
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Dissertação de Mestrado em Tecnologia e Segurança Alimentar
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Na qualidade de Diretora Regional das Comunidades, fomos responsável pela redação dos artigos e coordenação da página "Comunidades", integrada no jornal Açoriano Oriental, servindo a mesma para a divulgação das atividades realizadas pela Direção Regional Das Comunidades do Governo dos Açores.
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We are launching a long-term study to characterize the biodiversity at different elevations in several Azorean Islands. Our aim is to use the Azores as a model archipelago to answer the fundamental question of what generates and maintains the global spatial heterogeneity of diversity in islands and to be able to understand the dynamics of change across time. An extensive, standardized sampling protocol was applied in most of the remnant forest fragments of five Azorean Islands. Fieldwork followed BRYOLAT methodology for the collection of bryophytes, ferns and other vascular plant species. A modified version of the BALA protocol was used for arthropods. A total of 70 plots (10 m x 10 m) are already established in five islands (Flores, Pico, São Jorge, Terceira and São Miguel), all respecting an elevation step of 200 m, resulting in 24 stations examined in Pico, 12 in Terceira, 10 in Flores, 12 in São Miguel and 12 in São Jorge. The first results regarding the vascular plants inventory include 138 vascular species including taxa from Lycopodiophyta (N=2), Pteridophyta (N=27), Pinophyta (N=2) and Magnoliophyta (N=107). In this contribution we also present the main research question for the next six years within the 2020 Horizon.
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The present study, covering students from public schools and a private school on the island of São Miguel (Azores, Portugal), aims to meet the difficulties of the students of the 3rd and 4th years of the primary education in solving tasks involving construction, reading and interpreting tables and statistical graphs, in the context of Organization and Data Handling (ODH). We present the main results obtained from statistical methods, among which we highlight some non-parametric hypothesis tests and the Categorical Principal Component Analysis (CatPCA), given the nature of the variables included in the questionnaire (mostly nominal and ordinal variables).
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XXI Jornadas de Classificação e Análise de Dados (JOCLAD 2014), 10 a 12 de abril de 2014, INE, Lisboa, Portugal.
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Dissertação de Mestrado, Geologia do Ambiente e Sociedade, 15 de Fevereiro de 2016, Universidade dos Açores.
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Tese de Doutoramento, Biologia (Ecologia Vegetal), 25 de Junho de 2013, Universidade dos Açores.