Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2015-10-22T09:43:37Z No. of bitstreams: 2 Dissertação - Renato de Assis Ribeiro - 2014.pdf: 2069468 bytes, checksum: 012e254e859b9e44e2da79eeeabb5c1e (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2015-10-22T09:46:48Z (GMT) No. of bitstreams: 2 Dissertação - Renato de Assis Ribeiro - 2014.pdf: 2069468 bytes, checksum: 012e254e859b9e44e2da79eeeabb5c1e (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) / Made available in DSpace on 2015-10-22T09:46:48Z (GMT). No. of bitstreams: 2 Dissertação - Renato de Assis Ribeiro - 2014.pdf: 2069468 bytes, checksum: 012e254e859b9e44e2da79eeeabb5c1e (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Previous issue date: 2014-03-13 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / This work was developed with the objective of making a temporal analysis of some actual circumstances of the city of Iporá, using mathematical modeling, Interpolation and Curve Fitting by Least Squares Method. Theoretical contributions concerning the proposed methods are presented in order to enhance the knowledge on the subjects. The applications were performed using as examples situations in the everyday of the city of Iporá, namely deaths due to cancer, number of students in the Basic Education, growth of the vehicle eet, Gross Domestic Product (GDP), water consumption and population dynamics iporaense. After this process, it was concluded that the interpolation and the Least Squares Method they are two extremely useful means for modeling cases where it is necessary to nd the approximation functions. The temporal analysis, from these functions, enables to estimate, discuss possibilities and prospects, generating a critical review for each studied episode. Thus, the mathematics and in particular the methods discussed can be devices to alert and to educate, assisting in the decision making and political interventions. The work also shows that there is applicability of Interpolation and Curve Fitting by Least Squares Method in High School, which can be enriched by modeling of everyday problems. / Este trabalho foi desenvolvido com o objetivo de fazer uma análise temporal de algumas circunstâncias reais do município de Iporá, usando a modelagem matemática, a Interpola ção e o Ajuste de Curvas pelo Método dos Quadrados Mínimos. Aportes teóricos referentes aos métodos propostos são apresentados com a nalidade de aprimorar os conhecimentos sobre os assuntos. As aplicações foram realizadas tomando como exemplos situações presentes no cotidiano da cidade de Iporá, a saber: óbitos provocados por câncer, número de alunos no Ensino Básico, crescimento da frota de veículos, Produto Interno Bruto (PIB), consumo de água e dinâmica populacional iporaense. Após todo esse processo, concluiu-se que a Interpolação e o Ajuste de Curvas pelo Método dos Quadrados Mínimos são dois recursos extremamente úteis para a modelagem de casos, nos quais seja necessário encontrar funções de aproximação. A análise temporal, a partir dessas funções, permite fazer estimativas, discutir possibilidades e perspectivas, gerando uma avaliação crítica para cada episódio estudado. Desse modo, a matemática e em especial os métodos abordados podem ser artifícios para alertar e conscientizar, auxiliando no despertar de atitudes e políticas de intervenções. O trabalho mostra ainda que existe aplicabilidade da Interpolação e do Ajuste de Curvas pelo Método dos Quadrados Mínimos no Ensino Médio, que pode ser enriquecida pela modelagem de problemas cotidianos.

Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2017-05-16T12:05:36Z No. of bitstreams: 2 Dissertação - Keyla Vaz Silva - 2017.pdf: 6392794 bytes, checksum: f8d2dc0417e8093d8de54c4eb9b66428 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-05-16T12:06:03Z (GMT) No. of bitstreams: 2 Dissertação - Keyla Vaz Silva - 2017.pdf: 6392794 bytes, checksum: f8d2dc0417e8093d8de54c4eb9b66428 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-05-16T12:06:03Z (GMT). No. of bitstreams: 2 Dissertação - Keyla Vaz Silva - 2017.pdf: 6392794 bytes, checksum: f8d2dc0417e8093d8de54c4eb9b66428 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2017-04-18 / The present research was developed in the city of Goiânia-GO with the objective of analyzing the importance of the Areião and Vaca Brava Parks in the mitigation of heat islands, from the spatial and temporal variation of temperature and relative humidity of the air and Absolute minimum, considering different forms of land use and occupation. The analysis considered the parameters temperature and relative humidity of the maximum and minimum air; Morphometric aspects, such as slope, hypsometry, orientation of the slopes; The different patterns of land use and occupation; The regional circulation. The morphometric information was obtained from the digital cartographic base model of the Urban Basic Digital Map of Goiânia (MUBDG, version 23) using ArcGis 10.1 software. The soil use and occupation pattern was obtained from the orthophoto image. The theoretical and methodological proposal was structured in the S.C.U (Urban Climate System), based on the Monteiro thermodynamic perception channel (1976). Air temperature and humidity data were obtained in situ and by means of secondary data provided by INMET (National Institute of Meteorology) from May to December 2016. In situ data were obtained from thermocouples (Datalogger) installed in (Sezarino and Monteiro, 1990b), with records every 15 minutes, distributed in densely urbanized sites and parks (Areião and Vaca Brava). The study area is located in the southern portion of Goiânia, due to the peculiar characteristics of a metropolis city. This research allowed to understand the spatial and temporal variation of the temperature and relative humidity of the air, being that the aspect of the seasonality is strongly identified. Among the analyzed factors, the morphometry, in this scale of analysis, had little influence on the spatial variation of the data. The pattern of land use and occupation was what, together with the regional dynamics, established influences in the analysis of data behavior. Specifically, points P3 and P4 (Field Headquarters of Goiás Esporte Clube and State College Pedro Xavier Teixeira) presented higher values of maximum air temperature (38.8 and 39.8 ° C) and the lowest relative humidity Air, of 18%. The importance of points P1 and P2 (Areião and Vaca Brava parks) is emphasized for cooling the temperature and increasing the humidity of the air in the place. They presented during the period considered hotter and drier in the study area, contribution of up to 5,5ºC in the cooling of the air temperature and, of up to 7%, in the higher humidity, thus improving the environmental quality. It is considered that due to the strong climatic seasonality of Goiânia, it is necessary to expand green areas as corridors integrated with the city parks in order to make it possible to cool the effects of the heat island. / A pesquisa que ora se apresenta foi desenvolvida na cidade de Goiânia-GO com o objetivo de analisar a importância dos Parques Areião e Vaca Brava na mitigação das ilhas de calor, a partir da variação espacial e temporal da temperatura e umidade relativa do ar máximas e mínimas absolutas, considerando diferentes formas de uso e ocupação do solo. A análise considerou os parâmetros temperatura e umidade relativa do ar máxima e mínima; aspectos morfométricos, como declividade, hipsometria, orientação das vertentes; os diferentes padrões de uso e ocupação do solo e; a circulação regional. As informações morfométricos foram obtidas a partir do modelo da base cartográfica digital do Mapa Urbano Básico Digital de Goiânia (MUBDG, versão 23), utilizando-se software ArcGis 10.1. O padrão de uso e ocupação do solo foi obtido a partir da imagem da ortofoto 2011. A proposta teórica e metodológica foi estruturada no S.C.U (Sistema do Clima Urbano), a partir do canal de percepção termodinâmico de Monteiro (1976). Os dados de temperatura e umidade do ar foram obtidos in situ e por meio de dados secundários disponibilizados pelo INMET (Instituto Nacional de Meteorologia), entre maio a dezembro de 2016. Os dados in situ foram obtidos a partir de termohigrômetros (Datalogger) instalados em mini abrigo meteorológico (Sezarino e Monteiro, 1990b), com registros a cada 15 minutos, distribuídos em locais densamente urbanizados e de parques (Areião e Vaca Brava). A área de estudo está localizada na porção Sul de Goiânia, por apresentar características peculiares de cidade de porte de metrópole. Essa pesquisa permitiu compreender a variação espacial e temporal da temperatura e umidade relativa do ar, sendo que o aspecto da sazonalidade é fortemente identificado. Dentre os fatores analisados, a morfometria, nessa escala de análise, pouco influenciou na variação espacial dos dados. O padrão de uso e ocupação do solo foi o que estabeleceu, juntamente com a dinâmica regional, influencias na análise do comportamento dos dados. Especificamente os pontos P3 e P4 (Sede do Campo do Goiás Esporte Clube e Colégio Estadual Pedro Xavier Teixeira) apresentaram valores mais elevados de temperatura máxima do ar (38,8 e 39,8°C) e, os menores índices de umidade relativa do ar, de 18%. Ressalta-se a importância dos pontos P1 e P2 (parques Areião e Vaca Brava) para o arrefecimento da temperatura e aumento da umidade do ar no local. Apresentaram durante o período considerado mais quente e mais seco na área de estudo, contribuição de até 5,5ºC no arrefecimento da temperatura do ar e, de até 7%, no de umidade mais elevada, melhorando assim a qualidade ambiental. Considera-se que mediante a forte sazonalidade climática de Goiânia, faz-se necessário a ampliação de áreas verdes como corredores integrados com os parques da cidade de forma a possibilitar o arrefecimento dos efeitos da ilha de calor.

Os efeitos de borda e a alteração da estrutura das paisagens constituem consequências negativas da fragmentação florestal responsáveis por transformações nos processos ecológicos. Decorrentes da expansão desordenada de atividades antrópicas, estas alterações podem comprometer o futuro dos remanescentes florestais e a manutenção dos recursos naturais na superfície terrestre. Nesta dissertação a dinâmica da vegetação arbórea foi analisada em oito transectos perpendiculares às bordas de seis remanescentes florestais entre 1996 e 2012. As paisagens do entorno destes transectos foram caracterizadas a partir de imagens orbitais de 1995 e 2011 para a verificação das mudanças ocorridas no uso do solo e para a investigação da influência de seus parâmetros físicos e estruturais sobre as taxas de mortalidade e recrutamento de espécies. Os resultados indicaram que, ao longo do tempo, a influência das bordas se pronunciou em direção ao interior dos remanescentes florestais, enquanto que o contraste entre a borda e o interior se atenuou. A distância média da borda das espécies: pioneiras/iniciais, anemocóricas e de dossel foi significativamente maior em 2012 do que em 1996. A comunidade arbórea apresentou menor similaridade em sua composição ao longo do tempo a menores distâncias da borda. Apesar da dinâmica verificada no uso do solo, a proporcionalidade dos parâmetros físicos e estruturais das paisagens se manteve entre 1995 e 2011. De maneira geral, estes parâmetros apresentaram pouca influência sobre a dinâmica da comunidade arbórea. Apenas as taxas de mortalidade das espécies exóticas e as taxas de recrutamento das espécies pioneiras/inicias apresentam forte relação com o tamanho e o número dos fragmentos florestais nas paisagens. Estes resultados indicam que os efeitos de borda precisam ser atenuados e que o contexto das paisagens deve ser incorporado às estratégias conservacionistas para que estas sejam efetivas e o futuro dos remanescentes florestais não seja comprometido. / Edge effects and landscape structure alterations are among the negative consequences of forest fragmentation responsible for ecological process alterations on the earths surface. Originated from the disordered expansion of anthropogenic activities these alterations may endanger the remaining forest patches future and the maintenance of natural resources. This dissertation was pledged to analyze the vegetation dynamics at forest edges and its relations with landscape features. The vegetation dynamics was examined through eight perpendicular-to-edge transects within six forest patches and the alterations on the arboreal community distribution and composition were assessed between 1996 and 2012. The surrounding landscapes of the analyzed transects were characterized from 1995 and 2011 orbital images and its land use changes were evaluated. Landscape structure and physical parameters influence were analyzed over species recruitment and mortality. The results indicated that the distance of edge influence increased over time while its magnitude was attenuated. The average distance from the edge of pioneer/earlysuccessional species, wind-dispersed and canopy species in 2012 became significantly larger than in 1996. Over time lower similarities in species composition were found to be closer to the edges. Although the observed land use changes in the surrounding landscapes of the edge transects landscape structure and physical parameters proportionality was maintained between 1995 and 2011. Overall the arboreal community dynamics were poorly associated with landscape features. A strong relation of the variables was only found between the exotic and pioneer/early-successional species mortality and recruitment and the size and the amount of forest patches within the landscapes. These results indicate that to be effective conservation planning must tackled edge effects and incorporate the landscape context otherwise they will fail for the maintenance of the future of forest patches.

Made available in DSpace on 2016-08-17T14:53:26Z (GMT). No. of bitstreams: 1 dissertacao Pedro Henique.pdf: 3622658 bytes, checksum: 95066b31ffa29d90dfade445121817be (MD5) Previous issue date: 2014-01-03 / With the advent of imaging methods, the pulmonary nodule is becoming the most common manifestation of lung cancer and one of the most lethal of all cancers. Geometry (shape) and texture (tissue) measurements analyzed over time can be used to search the nodule malignancy. Among geometric measures commonly used, the nodule growth rate is one of the most accurate noninvasive methods to evaluate malignancy. Followed by other texture measures achieved over time, it is possible to get valuable information about nodules behavior, so that the doctor can use them to take related decisions. For these reasons, it is important to compare the nodule in exams applied at different moments. A key step for the comparison is to verify the correspondence between nodules of different exams. This correspondence is used to determine if a nodule X in the exam A is the same nodule Y in an exam B. Due to a number of anatomical and physiological factors and image acquisition, the same nodule cannot be in exactly the same location on different exams. To correct this problem, rigid and deformable image registration show up to be efficient. Once established this correspondence, it is possible to analyze the nodule texture changes through similarity indexes. In this sense, the aim of this work is to present methods for quantitative analysis of texture changes in lung nodules. For this analysis, it is used CT scans obtained at different moments from the same patient. Furthermore, it is presented a method to verify nodules found in different exams correspond to the same nodule by applying image registration. / Com o advento dos métodos de imagem, o nódulo pulmonar vem se tornando a manifestação mais comum de câncer de pulmão e um dos mais letais de todos os cânceres. Uma forma de pesquisar a malignidade de um nódulo é analisar temporalmente suas medidas de geometria (forma) e textura (tecido). Entre medidas geométricas comumente utilizadas, a taxa de crescimento do nódulo constitui um dos métodos mais precisos não invasivos de aferição da malignidade. Acompanhada a outras medidas de textura obtidas no decorrer do tempo, obtém-se informações valiosas sobre o seu comportamento, de forma que o médico pode usar essas medidas na tomada de decisões. Sabendo disso, é importante a comparação do nódulo em exames extraídos em momentos diferentes. Uma etapa fundamental para essa comparação é verificar a correspondência entre nódulos em exames diferentes, de forma que seja possível determinar se um nódulo X em um exame A é o mesmo nódulo Y em um exame B. Devido a uma série de fatores anátomo-fisiológicos e de aquisição de imagens, um mesmo nódulo pode não estar exatamente na mesma localização em exames diferentes. Para corrigir esse problema, registros de imagem rígidos e deformáveis mostram-se eficientes. Uma vez estabelecida essa correspondência, é possível analisar as mudanças na textura do nódulo através de índices de similaridade. Nesse sentido, o objetivo desse trabalho é apresentar métodos para a análise quantitativa de mudanças de textura em nódulos. Para essa análise serão utilizadas imagens de tomografia computadorizada obtidas em momentos diferentes de um mesmo paciente. Além disso, será apresentado um método para verificar se nódulos encontrados em exames diferentes correspondem ao mesmo nódulo através da aplicação de registros de imagens.

Consideramos uma base de dados hospitalares constituída por informações sobre vítimas de causas externas atendidas no Pronto Socorro do Hospital Municipal Dr. Arthur Ribeiro de Saboya, no período de 01/01/02 a 11/01/03, e registradas pelo Núcleo de Atenção à Vítima de Violência deste hospital. O conjunto de dados foi avaliado sob duas abordagens: a temporal, onde estudamos o numero de eventos ao longo do tempo, e a espacial, onde consideramos a localização geográfica dos eventos. Utilizamos uma modelagem estatística baseada em processos pontuais e técnicas de ondaletas para estimar a intensidade temporal ou espacial, isto é, o numero esperado de eventos por unidade de área (na abordagem espacial) ou tempo (na abordagem temporal). Fatores como sexo, faixa etária e tipo de evento (acidentes ou agressões) também foram considerados na análise. Na análise temporal, os resultados indicam que o número esperado de ocorrências em homens é significantemente maior do que em mulheres ao longo do período de observação. O mesmo ocorre com o numero esperado de acidentes quando comparado com o de agressões. As faixas etárias que compreendem as idades de 0 a 14 anos, 15 a 29 anos, 30 a 59 anos e 60 anos ou mais também apresentam números esperados de casos significantemente diferentes entre si. Na análise espacial, escolhemos uma região do Município de São Paulo, nas proximidades do Hospital Saboya, e elaboramos mapas onde é possível identificar geograficamente os locais onde as ocorrências são mais frequentes. A intensidade estimada para o total de eventos indica uma distribuição espacial não homogênea, com grande concentração de eventos principalmente nos distritos do Jabaquara e Cidade Ademar, além de valores altos ao longo das avenidas Bandeirantes, Jabaquara e Cupecê. As intensidades espaciais relativas às agressões a homens e a mulheres, separadamente, apresentam distribuições não homogêneas. Os locais com maiores riscos de agressões a mulheres parecem estar localizados em regiões mais afastadas das grandes avenidas da região. Quando consideramos os acidentes de trânsito e de transporte para cada dia da semana, a análise indicou uma distribuição espacial e temporal heterogênea, com intensidades estimadas maiores nos fins de semana e menores na segunda e terça-feira / We consider a data set with information on victims that were assisted at the emergency room of the Dr. Arthur Ribeiro de Saboya Municipal Hospital, S~ao Paulo, Brazil, from January 1, 2002 to January 11, 2003. We analyze the data chronologically (number of events along time) and spatially (geographical location). The statistical modelling is based on point processes and wavelet techniques to estimate both temporal and spatial intensities, that is, the expected numbers of events by unit time or unit area. The results indicate that the expected number of events is greater for men than for women along the whole observation period. The same is true for the expected number of accidents and that of aggressions, the former being consistently greater than the latter. The expected numbers of events for different age groups (0 to 14, 15 to 29, 30 to 59 and 60 or more) are significantly different. A neighborhood of Saboya Hospital was considered for spatial analysis, according to which it is possible to identify regions where occurrences are most frequent. The spatial distribution of the number of events is non homogeneous with high concentration mostly on Jabaquara and Cidade Ademar districts and along some big avenues (Bandeirantes, Jabaquara and Cupec^e avenues). Spatial non homogeneity of intensities is also observed for both aggressions to men and to women. The regions with the highest risks of aggression to women seam to be located away from the big avenues. When considering traffic and transport accidents separately by each day of the week, the analysis has shown both time and spatial non homogeneous distributions of events with highest estimated intensities during weekends and lowest ones on Monday and Tuesday

Thanks to the advanced technologies and social networks that allow the data to be widely shared among the Internet, there is an explosion of pervasive multimedia data, generating high demands of multimedia services and applications in various areas for people to easily access and manage multimedia data. Towards such demands, multimedia big data analysis has become an emerging hot topic in both industry and academia, which ranges from basic infrastructure, management, search, and mining to security, privacy, and applications. Within the scope of this dissertation, a multimedia big data analysis framework is proposed for semantic information management and retrieval with a focus on rare event detection in videos. The proposed framework is able to explore hidden semantic feature groups in multimedia data and incorporate temporal semantics, especially for video event detection. First, a hierarchical semantic data representation is presented to alleviate the semantic gap issue, and the Hidden Coherent Feature Group (HCFG) analysis method is proposed to capture the correlation between features and separate the original feature set into semantic groups, seamlessly integrating multimedia data in multiple modalities. Next, an Importance Factor based Temporal Multiple Correspondence Analysis (i.e., IF-TMCA) approach is presented for effective event detection. Specifically, the HCFG algorithm is integrated with the Hierarchical Information Gain Analysis (HIGA) method to generate the Importance Factor (IF) for producing the initial detection results. Then, the TMCA algorithm is proposed to efficiently incorporate temporal semantics for re-ranking and improving the final performance. At last, a sampling-based ensemble learning mechanism is applied to further accommodate the imbalanced datasets. In addition to the multimedia semantic representation and class imbalance problems, lack of organization is another critical issue for multimedia big data analysis. In this framework, an affinity propagation-based summarization method is also proposed to transform the unorganized data into a better structure with clean and well-organized information. The whole framework has been thoroughly evaluated across multiple domains, such as soccer goal event detection and disaster information management.

Le bruit de chatoiement (speckle) lié aux systèmes d'imagerie cohérente a des conséquences sur l'analyse et l'interprétation des images radar à synthèse d'ouverture (RSO). Pour corriger ce défaut, nous profitons de séries temporelles d'images RSO bien recalées. Nous améliorons le filtre adaptatif temporel non-local à l'aide de méthodes performantes de débruitage adaptatif et proposons un filtrage temporel adaptatif basé sur les patchs. Pour réduire le biais du débruitage, nous proposons une méthode originale, rapide et efficace de débruitage multitemporel. L'idée principale de l'approche proposée est d'utiliser l'image dite "de ratio", donnée par le rapport entre l'image et la moyenne temporelle de la pile. Cette image de ratio est plus facile à débruiter qu'une image isolée en raison de sa meilleure stationnarité. Par ailleurs, les structures fines stables dans le temps sont bien préservées grâce au moyennage multitemporel. Disposant d'images débruitées, nous proposons ensuite d'utiliser la méthode du rapport de vraisemblance généralisé simplifié pour détecter les zones de changement ainsi que l'amplitude des changements et les instants de changements intéressants dans de longues séries d'images correctement recalées. En utilisant le partitionnement spectral, on applique le rapport de vraisemblance généralisé simplifié pour caractériser les changements des séries temporelles. Nous visualisons les résultats de détection en utilisant l'échelle de couleur 'jet' et une colorisation HSV. Ces méthodes ont été appliquées avec succès pour étudier des zones cultivées, des zones urbaines, des régions portuaires et des changements dus à des inondations. / The inherent speckle which is attached to any coherent imaging system affects the analysis and interpretation of synthetic aperture radar (SAR) images. To take advantage of well-registered multi-temporal SAR images, we improve the adaptive nonlocal temporal filter with state-of-the-art adaptive denoising methods and propose a patch based adaptive temporal filter. To address the bias problem of the denoising results, we propose a fast and efficient multitemporal despeckling method. The key idea of the proposed approach is the use of the ratio image, provided by the ratio between an image and the temporal mean of the stack. This ratio image is easier to denoise than a single image thanks to its improved stationarity. Besides, temporally stable thin structures are well-preserved thanks to the multi-temporal mean. Without reference image, we propose to use a patch-based auto-covariance residual evaluation method to examine the residual image and look for possible remaining structural contents. With speckle reduction images, we propose to use simplified generalized likelihood ratio method to detect the change area, change magnitude and change times in long series of well-registered images. Based on spectral clustering, we apply the simplified generalized likelihood ratio to detect the time series change types. Then, jet colormap and HSV colorization may be used to vividly visualize the detection results. These methods have been successfully applied to monitor farmland area, urban area, harbor region, and flooding area changes.

Tropical cyclone (TC)-spawned tornadoes in Florida were analyzed to determine patterns of occurrence based on storm and geographic features. Tornadoes were determined to be associated with a landfalling or nearby TC if a tornado occurred within 800 km of the TC’s center of circulation. TC-tornadoes were analyzed for patterns based on distance and angle from TC’s center, topographic influences, population biases, and influence based on time of landfall. Most TC-Tornadoes tend to occur more often before landfall than after. It was discovered that tornadoes have occurred in different areas with respect to the bearing from the center depending on the landfall location and time of landfall. It was also discovered that land use type, and elevation had little to do with TC-Tornado occurrence. The results do suggest some population bias. The findings will be a guide for operational meteorologists to aid in forecasting likely tornadogenesis from TCs.

High dimensional space-time datasets are available nowadays in various aspects of life such as economy, agriculture, health, environment, etc. Meanwhile, it is challenging to reveal possible connections between climate change and weather extreme events such as hurricanes or tornadoes. In particular, the relationship between tornado occurrence and climate change has remained elusive. Moreover, modeling multivariate spatio-temporal data is computationally expensive. There is great need to computationally feasible models that account for temporal, spatial, and inter-variables dependence. Our research focuses on those areas in two ways. First, we investigate connections between changes in tornado risk and the increase in atmospheric instability over Oklahoma. Second, we propose two multiscale spatio-temporal models, one for multivariate Gaussian data, and the other for matrix-variate Gaussian data. Those frameworks are novel additions to the existing literature on Bayesian multiscale models. In addition, we have proposed parallelizable MCMC algorithms to sample from the posterior distributions of the model parameters with enhanced computations. / Doctor of Philosophy / Over 1000 tornadoes are reported every year in the United States causing massive losses in lives and possessions according to the National Oceanic and Atmospheric Administration. Therefore, it is worthy to investigate possible connections between climate change and tornado occurrence. However, there are massive environmental datasets in three or four dimensions (2 or 3 dimensional space, and time), and the relationship between tornado occurrence and climate change has remained elusive. Moreover, it is computationally expensive to analyze those high dimensional space-time datasets. In part of our research, we have found a significant relationship between occurrence of strong tornadoes over Oklahoma and meteorological variables. Some of those meteorological variables have been affected by ozone depletion and emissions of greenhouse gases. Additionally, we propose two Bayesian frameworks to analyze multivariate space-time datasets with fast and feasible computations. Finally, our analyses indicate different patterns of temperatures at atmospheric altitudes with distinctive rates over the United States.

Cette thèse porte sur le problème de l'estimation des temps de parcours, de véhicules, par section de route dans un contexte urbain, en utilisant les données GPS à faible densité d’échantillon. L'un des défis de cette thèse est d'utiliser ce genre de données. Dans le cadre de ce travail de recherche, j'ai développé une carte numérique avec son nouveau système d'information géographique (SIG), qui traite la problématique du map-matching, où nous avons apporté des améliorations, ainsi que le problème du plus court chemin.La thèse s'inscrit dans le cadre du projet PUMAS (Plate-forme Urbaine de Mobilité Avancée et Soutenable), ce qui est un avantage pour nos recherches en ce qui concerne le processus de collecte de données réelles sur le terrain ainsi que pour faire nos tests. Le projet PUMAS est un projet préindustriel qui a pour objectif d'informer sur la situation du trafic mais également de développer et de mettre en œuvre une plate-forme de mobilité durable afin de l'évaluer dans la région, notamment à Rouen, France. Le résultat offre un cadre pour tout contrôleur de la situation, gestionnaire ou chercheur pour accéder à de vastes réserves de données sur l'estimation du flux du trafic, sur les prévisions et sur l'état du trafic. / This dissertation is concerned with the problem of estimating travel time per links in urban context using sparsely sampled GPS data. One of the challenges in this thesis is use the sparsely sampled data. A part of this research work, i developed a digital map with its new geographic information system (GIS), dealing with map-matching problem, where we come out with an enhancement tecnique, and also the shortest path problem.The thesis research work was conduct within the project PUMAS, which is an avantage for our research regarding the collection process of our data from the real world field and also in making our tests. The project PUMAS (Plate-forme Urbaine de Mobilité Avancée et Soutenable / Urban Platform for Sustainable and Advanced Mobility) is a preindustrial project that has the objective to inform about the traffic situation and also to develop an implement a platform for sustainable mobility in order to evaluate it in the region, specifically Rouen, France. The result is a framework for any traffic controller or manager and also estimation researcher to access vast stores of data about the traffic estimation, forecasting and status.