Contributos para a análise espacial em sistemas de informação geográfica da vulnerabilidade socio-territorial no município de Humpata (Angola)

A pesquisa tem como objectivo contribuir para a discussão do conceito de vulnerabilidade socio-territorial em países em desenvolvimento e dar contributos de análise espacial para a construção de um modelo geográfico de vulnerabilidade socio-territorial, tendo como estudo caso o município de Humpata-Angola. A metodologia recorreu a vários instrumentos, nomeadamente organização bibliográfica e documental, discussão do conceito de vulnerabilidade socio-territorial e outros complementares, recolha de informação diversa, através de levantamentos urbanísticos, realização de inquéritos aos chefes de famílias (usando indicadores de domínios social, económico e territorial) e de entrevistas aos governantes ou representantes da Administração Municipal. Foram tomadas as coordenadas dos equipamentos sociais (Saúde e Educação) e todos os dados recolhidos inseridos numa Geodatabase e, com recurso aos Sistemas de Informação Geográfica (análise espacial), foi possível a construção de um modelo de vulnerabilidade socio-territorial para o município de Humpata. O modelo representa um contributo para o futuro ordenamento do município, permitindo uma melhor visão geográfica das áreas mais carenciadas e das áreas melhor equipadas, constituindo um instrumento de apoio a tomada de decisão em políticas públicas, procurando assegurar em simultâneo melhor distribuição dos recursos e beneficiação das condições de vida das comunidades.

The role of humor in television advertisement: A study regarding Portuguese consumers’ emotions and reactions

The purpose of this study is to explore the humorous side of television advertisement and its impact on Portuguese consumers’ hearts, minds and wallets. Both qualitative (through in-depth interviews) and quantitative (through an on-line survey and subsequent statistical data analysis) methods were used, guaranteeing a more consistent, strong and valid research. Twenty-five interviews with randomly chosen consumers were conducted face-to-face and three interviews via e-mail with marketers and television advertisers were performed in order to explore profoundly the subject. Moreover, 360 people have answered the on-line survey. Through the analysis of the data collected humor perception was found to be positively correlated with persuasion and intention to purchase the product; intention to share the advert; message comprehension; product liking and development of positive feelings towards the brand and brand credibility variables. The main implication of these findings relies on the fact that humor in advertising is able to boost its effectiveness.

O papel dos Sistemas de Informação Geográfica no planeamento, projecto e manutenção da Rede de Distribuição de Energia Eléctrica

Este relatório de estágio representa o desenvolvimento de uma metodologia, com recurso a Tecnologias de Informação Geográfica, que permite a identificação de zonas que condicionam os processos de planeamento, projecto e manutenção das estruturas que compõem a Rede de Distribuição de Energia Eléctrica. Centra-se assim nas Tecnologias de Informação Geográfica enquanto instrumentos que permitem realizar estudos de carácter territorial com relevância para o sector energético. São trabalhadas a identificação e delimitação de zonas de gelo, zonas de poluição industrial e zonas de salinidade em Portugal Continental. A delimitação destas zonas foi realizada com recurso a ferramentas de análise espacial, utilizando dados fidedignos provenientes de Instituições da Administração Pública. São documentadas também tarefas extraordinárias propostas pela EDP Distribuição - Energia, S.A. Desta forma é possível compreender as vantagens e desvantagens da utilização destas tecnologias por parte da EDP Distribuição, de forma a melhorar a gestão dos recursos disponíveis, para ajudar a manter a qualidade do serviço prestado. Ficou no entanto a recomendação de uma maior aposta nestas tecnologias.

Assessment of climate change statistical downscaling methods: Application and comparison of two statistical methods to a single site in Lisbon

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia do Ambiente

Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science.

A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Information Systems.

Gender Differences in Spatial Cognition: Wayfinding Performance and Sketch Mapping Activity of German Speakers

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies

A qualitive reasoning approach for improving query results for sketch based queries by topological analysis of spatial aggregation

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Spatial point pattern analysis of gorilla nest sites in the Kagwene Sanctuary, Cameroon: Towards understanding the nesting behavior of a critically endangered subspecies

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Spatial and temporal analysis of recent drought using vegetation temperature condition index: case of Somali regional state of Ethiopia

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Factor analysis in the stock market: An application to statistical arbitrage

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Land cover mapping analysis and urban growth modeling using remote sensing techniques

The rapid growth of big cities has been noticed since 1950s when the majority of world population turned to live in urban areas rather than villages, seeking better job opportunities and higher quality of services and lifestyle circumstances. This demographic transition from rural to urban is expected to have a continuous increase. Governments, especially in less developed countries, are going to face more challenges in different sectors, raising the essence of understanding the spatial pattern of the growth for an effective urban planning. The study aimed to detect, analyse and model the urban growth in Greater Cairo Region (GCR) as one of the fast growing mega cities in the world using remote sensing data. Knowing the current and estimated urbanization situation in GCR will help decision makers in Egypt to adjust their plans and develop new ones. These plans should focus on resources reallocation to overcome the problems arising in the future and to achieve a sustainable development of urban areas, especially after the high percentage of illegal settlements which took place in the last decades. The study focused on a period of 30 years; from 1984 to 2014, and the major transitions to urban were modelled to predict the future scenarios in 2025. Three satellite images of different time stamps (1984, 2003 and 2014) were classified using Support Vector Machines (SVM) classifier, then the land cover changes were detected by applying a high level mapping technique. Later the results were analyzed for higher accurate estimations of the urban growth in the future in 2025 using Land Change Modeler (LCM) embedded in IDRISI software. Moreover, the spatial and temporal urban growth patterns were analyzed using statistical metrics developed in FRAGSTATS software. The study resulted in an overall classification accuracy of 96%, 97.3% and 96.3% for 1984, 2003 and 2014’s map, respectively. Between 1984 and 2003, 19 179 hectares of vegetation and 21 417 hectares of desert changed to urban, while from 2003 to 2014, the transitions to urban from both land cover classes were found to be 16 486 and 31 045 hectares, respectively. The model results indicated that 14% of the vegetation and 4% of the desert in 2014 will turn into urban in 2025, representing 16 512 and 24 687 hectares, respectively.

Analysis of temporal and spatial variations of forest. A case of study in notheastern Armenia

The forest has a crucial ecological role and the continuous forest loss can cause colossal effects on the environment. As Armenia is one of the low forest covered countries in the world, this problem is more critical. Continuous forest disturbances mainly caused by illegal logging started from the early 1990s had a huge damage on the forest ecosystem by decreasing the forest productivity and making more areas vulnerable to erosion. Another aspect of the Armenian forest is the lack of continuous monitoring and absence of accurate estimation of the level of cuts in some years. In order to have insight about the forest and the disturbances in the long period of time we used Landsat TM/ETM + images. Google Earth Engine JavaScript API was used, which is an online tool enabling the access and analysis of a great amount of satellite imagery. To overcome the data availability problem caused by the gap in the Landsat series in 1988- 1998, extensive cloud cover in the study area and the missing scan lines, we used pixel based compositing for the temporal window of leaf on vegetation (June-late September). Subsequently, pixel based linear regression analyses were performed. Vegetation indices derived from the 10 biannual composites for the years 1984-2014 were used for trend analysis. In order to derive the disturbances only in forests, forest cover layer was aggregated and the original composites were masked. It has been found, that around 23% of forests were disturbed during the study period.