Relationship between national culture, democracy and environmental performance: A panel data analysis

This paper demonstrates the significance of culture in examining the relationshipbetween democratic capital and environmental performance.The aim is to examine the relationship among scores on the Environmental Performance Index and the two dimensions of cross cultural variation suggested by Ronald Inglehart and Christian Welzel. Significantional interrelationships among democracy, cultural and environmental sustaintability measures could be found, following the regression results. Firstly, higher levels of democratic capital stock are associated with better environmental performance. Secondly importance to distinguish between cultural groups could be confirmed.

Pricing of exchange traded funds

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

RingDings market analysis

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

Spatial analysis of crime evolution in Portugal between 1995 and 2013

The main objective of this survey was to perform descriptive analysis of crime evolution in Portugal between 1995 and 2013. The main focus of this survey was to analyse spatial crime evolution patterns in Portuguese NUTS III regions. Most important crime types have been included into analysis. The main idea was to uncover relation between local patterns and global crime evolution; to define regions which have contributed to global crime evolution of some specific crime types and to define how they have contributed. There were many statistical reports and scientific papers which have analysed some particular crime types, but one global spatial-temporal analysis has not been found. Principal Component Analysis and multidimensional descriptive data analysis technique STATIS have been the base of the analysis. The results of this survey has shown that strong spatial and temporal crime patterns exist. It was possible to describe global crime evolution patterns and to define crime evolution patterns in NUTS III regions. It was possible to define three to four groups of crimes where each group shows similar spatial crime dynamics.

SDAR: a package for plotting and analyzing stratigraphy data in R

Stratigraphic Columns (SC) are the most useful and common ways to represent the eld descriptions (e.g., grain size, thickness of rock packages, and fossil and lithological components) of rock sequences and well logs. In these representations the width of SC vary according to the grain size (i.e., the wider the strata, the coarser the rocks (Miall 1990; Tucker 2011)), and the thickness of each layer is represented at the vertical axis of the diagram. Typically these representations are drawn 'manually' using vector graphic editors (e.g., Adobe Illustrator®, CorelDRAW®, Inskape). Nowadays there are various software which automatically plot SCs, but there are not versatile open-source tools and it is very di cult to both store and analyse stratigraphic information. This document presents Stratigraphic Data Analysis in R (SDAR), an analytical package1 designed for both plotting and facilitate the analysis of Stratigraphic Data in R (R Core Team 2014). SDAR, uses simple stratigraphic data and takes advantage of the exible plotting tools available in R to produce detailed SCs. The main bene ts of SDAR are: (i) used to generate accurate and complete SC plot including multiple features (e.g., sedimentary structures, samples, fossil content, color, structural data, contacts between beds), (ii) developed in a free software environment for statistical computing and graphics, (iii) run on a wide variety of platforms (i.e., UNIX, Windows, and MacOS), (iv) both plotting and analysing functions can be executed directly on R's command-line interface (CLI), consequently this feature enables users to integrate SDAR's functions with several others add-on packages available for R from The Comprehensive R Archive Network (CRAN).

Creation of a web application for smart park system and parking prediction study for system integration

In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.

The impact of the European sovereign debt crisis on the recovering from the financial crisis: Equity returns of the banking sector

This paper analyses, through a dynamic panel data model, the impact of the Financial and the European Debt crisis on the equity returns of the banking system. The model is also extended to specifically investigate the impact on countries who received rescue packages. The sample under analysis considers eleven countries from January 2006 to June 2013. The main conclusion is that there was in fact a structural change in banks’ excess returns due to the outbreak of the European Debt Crisis, when stock markets were still recovering from the Financial Crisis of 2008.

Comportamentos das famílias portuguesas em épocas de calor e durante a onda de calor de Agosto de 2003

RESUMO - Este estudo teve como principal objectivo a caracterização das atitudes e da adopção de medidas de protecção em períodos de calor e em particular conhecer aquelas que efectivamente foram adoptadas durante a onda de calor de Agosto de 2003 (29 de Julho a 15 de Agosto). Foi realizado um inquérito por via postal, aplicando um questionário aos indivíduos de 18 e mais anos das unidades de alojamento (UA), que constituem a amostra ECOS (Em Casa Observamos Saúde) do Observatório Nacional de Saúde. Estudaram-se 769 indivíduos, o que correspondeu a 25,6% da totalidade dos indivíduos elegíveis nas UA. Uma vez que a amostra ECOS não é autoponderada, foram ponderados os resultados das unidades de alojamento pela variável do Instituto Nacional de Estatística (INE) «número de famílias clássicas» por região e pela «população residente segundo o nível de instrução» obtidas pelos censos de 2001. Os comportamentos referidos como adoptados em épocas de calor que apresentaram maiores percentagens foram «tomar duches ou banhos» (84,6%), «ingestão de líquidos» (79,6%), «uso de roupa leve, larga e clara» (73,2%) e «tomar refeições leves» (53,7%). Durante a onda de calor de 2003, a maior parte da população (92,5%) leu, ouviu ou viu informação sobre os cuidados a ter durante a onda de calor, tendo sido a televisão (95,2%), a rádio (56,3%) e os jornais (49,3%) os meios de comunicação social mais referidos. Cerca de metade da população (51,4%) informou alguém, fundamentalmente a família, sobre os cuidados a ter. Com efeito, durante esta onda de calor verificou-se um maior cuidado em relação a comportamentos mais prejudiciais em épocas de maior calor. Por um lado, a população portuguesa andou menos ao sol (49,4%), fez menos viagens de carro/transportes à hora do calor (39,8%), realizou menos actividades que exigiriam esforço físico (32,5%) e também houve alguma preocupação em beber menos bebidas alcoólicas (26,5%). Por outro lado, aumentaram os comportamentos que já são mais habituais durante o período de Verão, tais como abrir as janelas durante a noite (40,8%), tomar refeições leves (46,7%), tomar mais duches ou banhos (58,5%), o uso de roupas leves largas e claras (42,5%) e o uso de ventoinhas (37,8%). A alteração do comportamento andar ou estar ao sol sem restrições aumenta com o número de meios de comunicação onde se obteve informação. Abrir as janelas de casa durante a noite e tomar duches ou banhos apresentou uma associação com o número de meios de comunicação onde se obteve informação e com o número de pessoas que prestaram informação. Ingerir líquidos e usar roupa leve, larga e clara mostrou também uma dependência do número de meios de comunicação onde se obteve informação.