Depuis les années 1970, les pays du Pacifique sont de plus en plus fréquemment touchés par des maladies vectorielles telles que la Dengue, le Chikungunya ou le Zika. Le contrôle de ces maladies nécessite la connaissance de leur distribution spatio-temporelle au sein de la population ainsi que la compréhension des facteurs et mécanismes, souvent multiples, régissant cette distribution. Dans cette thèse, nous nous intéressons à la modélisation spatio-temporelle des déterminants de la dynamique spatiale de la dengue à l'échelle régionale du Pacifique, l'échelle territoriale de la Nouvelle-Calédonie, et l'échelle d'une ville, Nouméa, capitale de la Nouvelle-Calédonie.Dans le Pacifique, la dengue survient sous la forme de vagues épidémiques successives dues à l'introduction et à la diffusion régionale d'un nouveau sérotype tous les cinq à sept ans. En Nouvelle-Calédonie, la dengue présente une dynamique épidémique saisonnière, le sérotype dominant étant celui circulant dans la région. L'émergence d'une épidémie nécessite des conditions climatiques précises, et un indicateur annuel prédictif du risque d'émergence est maintenant utilisé de manière opérationnelle par les autorités de santé. Sur le plan spatial, au cours d'une épidémie, en moyenne, la circulation du virus est plus intense dans les zones où la température moyenne ainsi que les densités locales de population sont élevées. Que ce soit sur le territoire entier ou dans la ville de Nouméa, lors de la ré-émergence d'un même sérotype, la diffusion spatiale du virus paraît limitée par l'immunité de population créée par les épidémies précédentes. Cette thèse permet de mettre en évidence la nature complexe et multi-factorielle des maladies vectorielles, et de souligner l'intérêt d'analyses multi-échelles pour l'étude de leur épidémiologie. Au-delà des résultats obtenus sur la dengue dans la région Pacifique, notre volonté était de développer un cadre méthodologique pour l'analyse spatio-temporelle des données de surveillance épidémiologique applicable à d'autres contextes géographiques ou épidémiologiques. / Since the 1970's, the frequency of vector-borne diseases such as Dengue, Chikungunya or Zika has significantly increased in the Pacific region. Understanding the factors and mechanisms underlying the spatio-temporal distribution of these diseases provides useful information regarding their control and prevention. In this thesis, we identified dengue spatio-temporal patterns and used modeling tools to identify the factors associated to an increased epidemiological risk at a regional scale (Pacific), a territorial scale (New-Caledonia), and a city scale (Noumea, the capital of New-Caledonia).Every five to seven years, dengue spreads over the entire Pacific as large epidemics caused by the introduction and regional diffusion of one of the four dengue virus serotypes. In New Caledonia, dengue has a seasonal epidemic pattern. The emergence of an epidemic requires specific climatic conditions. The identification of these conditions led to the implementation of an operational early warning system to predict dengue annual epidemic risk. Spatially, at the territorial scale, during epidemic years, high levels of viral circulation are found in areas with higher mean temperature and higher local population densities. Whether at the territorial scale or at the city scale, the spatial diffusion of the virus during epidemics caused by the re-emergence of the same serotype seems limited by the population immunity created by past epidemics. This thesis highlights the complexity and the multi-factorial aspect of vector-borne diseases, and discusses the usefulness of a multi-scale approach in modelling their epidemiology. Besides enhancing our understanding of dengue epidemiology over the Pacific area, we also developed a methodological framework that can be used in other geographical or epidemiological settings for the spatio-temporal analysis and modeling of epidemiological surveillance data.

Cette thèse présente de nouveaux modèles et de nouveaux résultats en théorie de la ruine, lorsque les distributions des montants de sinistres sont à queue épaisse. Les hypothèses classiques d’indépendance et de stationnarité, ainsi que l’analyse univariée sont parfois jugées trop restrictives pour décrire l’évolution complexe des réserves d’une compagnie d’assurance. Dans un contexte de dépendance entre les montants de sinistres, des équivalents de la probabilité deruine univariée en temps fini sont obtenus. Cette dépendance, ainsi que les autres paramètres du modèle sont modulés par un processus Markovien d’environnement pour prendre en compte des possibles crises de corrélation. Nous introduisons ensuite des modèles de dépendance entre les montants de sinistres et les temps inter-sinistres pour des risques de type tremblements de terre et inondations. Dans un cadre multivarié, nous présentons divers critères de risques tels que la probabilité de ruine multivariée ou l’espérance de l’intégrale temporelle de la partie négative du processus de risque. Nous résolvons des problèmes d’allocation optimale pour ces différentes mesures de risque. Nous étudions alors l’impact de la dangerosité des risques et de la dépendance entre les branches sur cette allocation optimale / This PhD thesis presents new models and new results in ruin theory, in the case where claim amounts are heavy-tailed distributed. Classical assumptions like independence and stationarity and univariate analysis are sometimes too restrictive to describe the complex evolution of the reserves of an insurance company. In a dependence context, asymptotics of univariate finite-time ruin probability are computed. This dependence, and the other model parameters are modulated by a Markovian environment process to take into account possible correlation crisis. Then, we introduce some models which describe dependence between claim amounts and claim interarrival times we can find in earthquake or flooding risks. In multivariate framework, we present some risk criteria like multivariate ruin probability or the expectation of the timeintegrated negative part of the risk process. We solve some problems of optimal allocation for these risk measures. Then, we study the impact of the risk dangerousness and of the dependence between lines on this optimal allocation.

Neste trabalho utilizamos um modelo espaço-temporal proposto em Rojas (2004) para medir a interação social da criminalidade na região metropolitana de São Paulo. Realizamos simulações de Monte Carlo para testar a capacidade de estimação do modelo em diferentes cenários. Observamos que a estimação melhora com o aumento de observações ao longo do tempo. Já os resultados empíricos indicam que a região metropolitana de São Paulo é um hot spot no estado, pois é encontrado um maior grau de interação social no índice de homicídio em relação aos índices de roubo e furto. / In this paper we employ a spatio-temporal model proposed in Rojas (2004) to evaluate the social interaction in crime in São Paulo metropolitan area. We carry out Monte Carlo simulations to test the model estimation capability in different scenarios. We notice that the estimation gets better as the number of observations in time raises. The results point out that São Paulo metropolitan area is a hot spot in the state since we found out a greater social interaction for the homicide index, compared to robbery and thievery.

Neste trabalho utilizamos um modelo espaço-temporal proposto em Rojas (2004) para medir a interação social da criminalidade na região metropolitana de São Paulo. Realizamos simulações de Monte Carlo para testar a capacidade de estimação do modelo em diferentes cenários. Observamos que a estimação melhora com o aumento de observações ao longo do tempo. Já os resultados empíricos indicam que a região metropolitana de São Paulo é um hot spot no estado, pois é encontrado um maior grau de interação social no índice de homicídio em relação aos índices de roubo e furto. / In this paper we employ a spatio-temporal model proposed in Rojas (2004) to evaluate the social interaction in crime in São Paulo metropolitan area. We carry out Monte Carlo simulations to test the model estimation capability in different scenarios. We notice that the estimation gets better as the number of observations in time raises. The results point out that São Paulo metropolitan area is a hot spot in the state since we found out a greater social interaction for the homicide index, compared to robbery and thievery.

Les patrons récursifs de déplacement, où l’individu revient à des sites déjà visités, sont très répandus. L’utilisation de la mémoire, supposée être avantageuse lorsque l’environnement est prévisible, pourrait être sous-jacente à l’émergence de ces patrons. Cependant, notre compréhension de l’interface mémoire-déplacement a jusqu'à présent été limitée par un manque de méthodes adaptées et d’investigation théorique des avantages de l’utilisation de la mémoire et des patrons qui en émergent. Au cours de cette thèse j’ai cherché à combler en partie ces manques. Je propose ici trois nouveaux cadres d'analyse des patrons récursifs de déplacement. Le premier délimite les zones les plus fréquemment revisitées par un individu, le deuxième détecte la périodicité dans les revisites de sites connus, et le troisième définit formellement et quantifie la routine de déplacement en termes de répétitivité de la séquence de déplacement, et propose un algorithme pour détecter les sous-séquences répétées. A l'aide d'un modèle individu-centré, nous montrons que l'utilisation de la mémoire dans un environnement prévisible est très avantageuse énergétiquement comparée à une stratégie de recherche sans mémoire, y compris en situation de compétition, et qu'elle mène à l'émergence de domaines vitaux stables et à la ségrégation spatiale entre individus. L'utilisation de la mémoire invalide plusieurs hypothèses très courantes faites par les études populationnelles, en menant à une forte déplétion de l’environnement, à une augmentation de la taille de la population à l’équilibre, et à une relation non linéaire entre la taille de population totale et l’intensité de compétition localement ressentie par les individus. Ainsi, ma thèse contribue à une meilleure compréhension des conséquences de la mémoire sur la valeur sélective des individus, sur les patrons de déplacement, et sur la démographie des populations. Elle propose des méthodes innovantes pour quantifier et caractériser les patrons récursifs de déplacement pouvant émerger de son utilisation. Ces méthodes devraient ouvrir de nouvelles opportunités de comparaisons entre individus de différentes populations ou espèces qui permettront le test d'hypothèses sur les pressions de sélection favorisant l'utilisation de la mémoire. / Recursive movement patterns, by which an individual returns to already visited sites, are very common. Memory use, hypothesized to be advantageous when the environment is predictable, could underlie the emergence of these patterns. However, our understanding of the memory-movement interface has been limited by two knowledge gaps. We still lack appropriate methodologies and theoretical knowledge of the advantages of memory use and of the patterns that emerge from it. During this PhD project, I aimed at filling in some of these gaps. I present here three new frameworks for the analysis of recursive movement patterns. The first one delimits the areas most frequently revisited by an individual, the second one detects periodic revisit patterns, and the third one formally defines and quantifies routine movement behaviour in terms of movement sequence repetitiveness, and presents an algorithm that detects the sub-sequences that are repeated. Using an individual-based model, we show that memory use, when the environment is predictable, is very energetically advantageous compared to foraging strategies that do not use memory, including in a situation of competition, and that it leads to the emergence of stable Home Ranges and spatial segregation between individuals. Memory use invalidates several hypotheses very commonly made in population studies, by leading to a stronger environmental depletion, to a higher equilibrium population size, and to a nonlinear relationship between the total population size and the individually-experienced intensity of competition. Therefore, my PhD thesis contributes to a better understanding of the consequences of memory use for the fitness of individuals, for movement patterns, and for population dynamics. It offers innovative methodologies that quantify and characterize recursive movement patterns that can emerge from its use. These methods should open new opportunities for the comparison of the movements of individuals from different populations and species, and thus the testing of hypotheses about the pressures that select for memory use.

Les dernières années, la taille des collections vidéo a connu une forte augmentation. La recherche et la navigation efficaces dans des telles collections demande une indexation avec des termes pertinents, ce qui nous amène au sujet de cette thèse, l’indexation sémantique des vidéos. Dans ce contexte, le modèle Sac de Mots (BoW), utilisant souvent des caractéristiques SIFT ou SURF, donne de bons résultats sur les images statiques. Notre première contribution est d’améliorer les résultats des descripteurs SIFT/SURF BoW sur les vidéos en pré-traitant les vidéos avec un modèle de rétine humaine, ce qui rend les descripteurs SIFT/SURF BoW plus robustes aux dégradations vidéo et qui leurs donne une sensitivité à l’information spatio-temporelle. Notre deuxième contribution est un ensemble de descripteurs BoW basés sur les trajectoires. Ceux-ci apportent une information de mouvement et contribuent vers une description plus riche des vidéos. Notre troisième contribution, motivée par la disponibilité de descripteurs complémentaires, est une fusion tardive qui détermine automatiquement comment combiner un grand ensemble de descripteurs et améliore significativement la précision moyenne des concepts détectés. Toutes ces approches sont validées sur les bases vidéo du challenge TRECVid, dont le but est la détection de concepts sémantiques visuels dans un contenu multimédia très riche et non contrôlé. / During the last years, we have witnessed a great increase in the size of digital video collections. Efficient searching and browsing through such collections requires an indexing according to various meaningful terms, bringing us to the focus of this thesis, the automatic semantic indexing of videos. Within this topic, the Bag of Words (BoW) model, often employing SIFT or SURF features, has shown good performance especially on static images. As our first contribution, we propose to improve the results of SIFT/SURF BoW descriptors on videos by pre-processing the videos with a model of the human retina, thereby making these descriptors more robust to video degradations and sensitivite to spatio-temporal information. Our second contribution is a set of BoW descriptors based on trajectories. These give additional motion information, leading to a richer description of the video. Our third contribution, motivated by the availability of complementary descriptors, is a late fusion approach that automatically determines how to combine a large set of descriptors, giving a high increase in the average precision of detected concepts. All the proposed approaches are validated on the TRECVid challenge datasets which focus on visual concept detection in very large and uncontrolled multimedia content.

Limited systematic research has investigated how conflict events shape the spatial-temporal variation of insurgent violence against civilians. Although previous research has investigated how degrees of territorial control relate to general levels of violence against civilians, it remains largely an open question how the dynamics within territorial control determine violence against civilians by insurgents. This study aims to address this gap by hypothesizing that (1) insurgents become more likely to commit fatal violence against civilians, and (2) kill more civilians in contested areas when they lose territorial control. The Armed Conflict Location and Event Dataset (ACLED) was used along with Peace Research Institute Oslo’s (PRIO) GRID Dataset to create a novel data frame of all territorially contested area-weeks on the African continent between 1997 and 2017 (n = 3035). Contrary to theoretical expectations, logistic regressions indicate a lower risk of insurgent violence against civilians in contested areas following an insurgent territorial loss than following a break-even. Zero-inflated negative binomial regressions moreover tentatively indicate that insurgents kill more civilians following territorial wins in the short-term, and following territorial loss in the long-term. These results suggest that proactive counterinsurgency campaigns are in the interest of civilians in civil war.

Sur le bassin méditerranéen, les projections climatiques pour la fin du siècle indiquent un assèchement des étés accompagné d'une intensification des précipitations.Dans ce contexte, la caractérisation de la pluviométrie de la région est nécessaire pour appréhender son évolution future.Les modèles climatiques régionaux (RCM) sont des outils essentiels pour la compréhension du climat régional et pour la projection de son évolution.L'objectif de cette thèse est alors de caractériser et d'évaluer la pluie simulée par les RCM dans le sud-est de la France, typique des régions méditerranéennes côtières.La description de la pluie observée aux mêmes échelles que les RCM en est un préalable.La pluie observée et simulée est caractérisée en termes de valeurs et de structure spatiale et temporelle de l'occurrence et de l'intensité.Les liens entre ces caractéristiques et les processus physiques sous-jacents sont explorés grâce à une analyse par type de temps.Dans les modèles, le volume annuel total d'eau apporté par la pluie sur l'ensemble de la région d'étude est proche des valeurs observées.Ce volume n'est toutefois pas réparti également dans le temps et dans l'espace dans les observations et dans les simulations.Parmi les multiples caractéristiques de la pluie observée et simulée, cette étude souligne l'influence des forçages du relief et des processus liés au cycle diurne de l'énergie solaire à la fois sur le déclenchement et sur l'intensité des précipitations.Ainsi, la pluie se produit préférentiellement en fin d'après-midi, en lien avec le chauffage diurne de la surface.Cependant, dans les modèles, le maximum d'occurrence est plus précoce que dans les observations, ce qui suggère une réponse trop rapide du schéma de convection au cycle diurne des flux de surface, liée à l'absence de la phase de transition entre la convection peu profonde et la convection profonde dans la majorité des schémas.Par ailleurs, au sein du domaine d'étude, l'influence du relief sur les caractéristiques de la pluie est plus marquée pour les Cévennes que pour les Préalpes.Les RCM reproduisent cette influence du relief sur les caractéristiques de pluie.Toutefois, les contrastes entre plaines et reliefs sont plus accentués dans les modèles que dans les observations, notamment lorsque le forçage de grande échelle est faible et la convection dominante dans la région d'étude.L'accentuation du contraste entre plaine et montagne dans les modèles semble donc provenir d'une trop grande sensibilité des schémas de convection au relief qui favorise la convergence et l'instabilité de la masse d'air. / Climate projections for the end of the century indicate drier summers and more intense precipitation in the Mediterranean.In this respect, the characterization of rainfall in the region is necessary to understand its future changes.Regional climate models (RCM) are essential tools to understand the regional climate and to project its future evolution.This thesis aims at characterizing and evaluating rainfall simulated by RCM in Southeast France, typical of the mediterranean coastal regions.The description of observed rainfall at the same scales as RCM is a prerequisite.Observed and simulated rainfall is described in terms of values and spatial and temporal structure of occurrence and intensity.Weather types are used to explore the relation between rainfall features and the underlying physical processes.In the RCM, the annual total volume of water precipitated over the study region is closed to the observed values.However, this total volume is not distributed the same in space and time in the RCM simulations and in the observations.Among the multiple facets of the rainfall climatology, this study highlights the influence of the relief and of the solar cycle both in the triggering and in the intensity of rain.Rain appears to occur preferentially in the late afternoon, in connection with the daytime heating of the surface.However, the maximum of rain occurrence simulated by the RCM is earlier than in the observations, suggesting a too quick response of the convection scheme to the diurnal cycle of surface fluxes, in relation to the absence of transition between shallow and deep convection in most schemes.Besides, within the study region, the orographic forcing appears to be quite different for the two ranges of the domain and is much more pronounced over the Cévennes.The RCM reproduce the influence of the topography on rainfall features.Yet, the contrast between plains and mountains is more pronounced in the models than in the observations, especially when the large-scale forcing is weak and the convection is prevailing in the study area.The contrast accentuation between plain and relief in the models seems to be due to a too high sensitivity of the convection schemes to the air mass convergence and instability favored by the relief.

Made available in DSpace on 2016-06-02T19:06:04Z (GMT). No. of bitstreams: 1 5138.pdf: 2676227 bytes, checksum: 72ab4695bfe8833d7d34d1e803a6ec9a (MD5) Previous issue date: 2012-12-13 / Financiadora de Estudos e Projetos / The growing concern with the support of the decision-making process has made companies to search technologies that support their decisions. The technology most widely used presently is the Data Warehouse (DW), which allows storing data so it is possible to produce useful and reliable information to assist in strategic decisions. Combining the concepts of Spatial Data Warehouse (SDW), that allows geometry storage and managing, and Temporal Data Warehouse (TDW), which allows storing data changes that occur in the real-world, a research topic known as Spatio-Temporal Data Warehouse (STDW) has emerged. STDW are suitable for the treatment of geometries that change over time. These technologies, combined with the steady growth volume of data, show the necessity of index structures to improve the performance of analytical query processing with spatial predicates and also with geometries that may vary over time. In this sense, this work focused on proposing an index for STDW called Spatio-Temporal Bitmap Index, or STB-index. The proposed index was designed to processing drill-down and roll-up queries considering the existence of predefined spatial hierarchies and with spatial attributes that can vary its position and shape over time. The validation of STB-index was performed by conducting experimental tests using a DWET created from synthetic data. Tests evaluated the elapsed time and the number of disk accesses to construct the index, the amount of storage space of the index and the elapsed time and the number of disk accesses for query processing. Results were compared with query processing using database management system resources and STBindex improved the query performance by 98.12% up to 99.22% in response time compared to materialized views. / A crescente preocupação com o suporte ao processo de tomada de decisão estratégica fez com que as empresas buscassem tecnologias que apoiassem as suas decisões. A tecnologia mais utilizada atualmente é a de Data Warehouse (DW), que permite armazenar dados de forma que seja possível produzir informação útil e confiável para auxiliar na tomada de decisão estratégica. Aliando-se os conceitos de Data Warehouse Espacial (DWE), que permite o armazenamento e o gerenciamento de geometrias, e de Data Warehouse Temporal (DWT), que possibilita representar as mudanças nos dados que ocorrem no mundo real, surgiu o tema de pesquisa conhecido por Data Warehouse Espaço-Temporal (DWET), que é próprio para o tratamento de geometrias que se alteram ao longo do tempo. Essas tecnologias, aliadas ao constante crescimento no volume de dados armazenados, evidenciam a necessidade de estruturas de indexação que melhorem o desempenho do processamento de consultas analíticas com predicados espaciais e com variação das geometrias no tempo. Nesse sentido, este trabalho se concentrou na proposta de um índice para DWET denominado Spatio- Temporal Bitmap Index, ou STB-index. O índice proposto foi projetado para o processamento de consultas do tipo drill-down e roll-up considerando a existência de hierarquias espaciais predefinidas, sendo que os atributos espaciais podem variar sua posição e sua forma ao longo do tempo. A validação do STB-index ocorreu por meio da realização de testes experimentais utilizando um DWET criado a partir de dados sintéticos. Os testes avaliaram o tempo e o número de acessos a disco para a construção do índice, a quantidade de espaço para armazenamento do índice e o tempo e número de acessos a disco para o processamento de consultas analíticas. Os resultados obtidos foram comparados com o processamento de consultas utilizando os recursos disponíveis dos sistemas gerenciadores de banco de dados, sendo que o STB-index apresentou um ganho de desempenho entre 98,12% e 99,22% no tempo de resposta das consultas se comparado ao uso de visões materializadas.

Submitted by Viviane Lima da Cunha (viviane@biblioteca.ufpb.br) on 2017-07-27T12:49:58Z No. of bitstreams: 1 arquivototal.pdf: 7019018 bytes, checksum: 871823e939a6e022aaadd5b6b55b3dab (MD5) / Made available in DSpace on 2017-07-27T12:49:58Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 7019018 bytes, checksum: 871823e939a6e022aaadd5b6b55b3dab (MD5) Previous issue date: 2016-03-31 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / This Master thesis studies the spatio-temporal variability of soil moisture in the Guaraíra experimental watershed, located on the southern coast of Paraíba. As it is an experimental basin, it is of great importance to know how its variables work and interact together, in order to allow inferences in similar basins. In that case, the soil moisture play a role responsible for several factors in the watershed, like flow generation, drought development and groundwater recharge, for example. Initially, being a small watershed, (5,84 km²) it was believed that its results related to soil moisture should be very homogeneus, however, a hypothesis was made about how the different soil and vegetation cover between each station could make an influence in the results. The research had as its main objective to study the spatio-temporal variability on the soil moisture on the said study area, in order to use these information as subsidy to similar basins, even bigger ones. For this it was used data from the TDR (Time Domain Reflectometry) soil moisture probes installed at five stations and pluviographs in the study area combined with manual collection for calibration and validation of the probe’s results since april 2013 until September 2014. This way, it was possible to apply the methods used by Vachaud et al. (1985( and Mittelbach & Seneviratne (2012), with the disconnection of the resilts of soil moisture into its variable and invariable parts on time, which consist in the spatio-temporal variability of soil moisture analysis. As the TDR probes used to measure soil moisture give a temporal resolution of one hour, an analysis of temporal resolution was proceeded, allowing to use diary data in order to represent the soil moisture, without significant variation of results. The results confirmed the homogeneity of spatio-temporal variability of the soil moisture in the basin, except for the station with less vegetation cover, where the spatio-temporal variability of soil moisture differed significantly from the rest of the basin. Thus, it was perceived the similiraty between the results of soil moisture in the terms of temporal mean and anomalies, for the stations with similar vegetation cover. This way, it was concluded that the fact that the results of the station with less vegetation cover had been so different is due to its lack of vegetation cover, being very different from the rest of the basin, thus enhancing the importance of vegetacion cover as a natural controller of soil moisture. As to the temporal variability, that is more susceptible to climatic effect, like precipitation for example, while the spatial-variability is more related to the invariable terms on time. Yet, the calibration of the probes was successfully executed and they do represent well the soil moisture for that study area, allowing continuous monitoring on that experimental basin. / Este trabalho tem como objeto de estudo a variabilidade espaço-temporal da umidade do solo na bacia hidrográfica experimental do riacho Guaraíra, localizada na região litorânea sul do Estado da Paraíba. Tratando-se de uma bacia experimental, é de suma importância conhecer como funcionam e interagem entre si seus variados elementos, afim de possibilitar inferências em bacias semelhantes. Nisto, a umidade do solo é responsável por vários outros fatores na bacia hidrográfica, tais quais geração de vazão, desenvolvimento de secas e recarga de aquíferos, por exemplo. Inicialmente, por ser uma área pequena (5,84 km²), acreditava-se que os seus resultados relativos à umidade do solo seriam bastante homogêneos, entretanto, pensou-se na hipótese de os diferentes solos e vegetações de cada estação poderem influenciar no comportamento da umidade do solo. A pesquisa teve então como principal objetivo estudar a variabilidade espaço-temporal da umidade do solo na referida área de estudo, de forma a utilizar estas informações como subsídio para bacias semelhantes, podendo até serem de maior porte. Para isto, utilizaram-se dados das sondas de umidade do solo do tipo TDR (Time Domain Reflectometry) e pluviógrafos instalados em cinco locais da bacia experimental, aliados à coletas manuais para calibração e validação dos resultados destas sondas durante o período de abril de 2013 até setembro de 2014. Com isto, aplicaram-se os métodos propostos por Vachaud et al. (1985) e Mittelbach & Seneviratne (2012), que permitem a separação da umidade do solo em suas parcelas variáveis e invariáveis no tempo, que consistem na análise de variabilidade espaço-temporal da umidade do solo. Como as sondas TDR utilizadas para medição da umidade fornecem uma resolução temporal de uma hora, procedeu-se uma avaliação desta resolução temporal que permitiu utilizar dados diários para representar as umidades dos solos, sem variação significativa de resultados. Os resultados confirmaram a homogeneidade da variabilidade espaço-temporal da umidade do solo na bacia experimental, com a exceção da estação que possui menor cobertura vegetal, onde a variabilidade espaço-temporal da umidade do solo diferiu significativamente do resto da bacia. Ainda, percebeu-se a semelhança entre os resultados de umidade do solo das estações com cobertura vegetal semelhantes em termos tanto de média temporal quanto de anomalias. Desta forma, concluiu-se que, o fato de os resultados da estação com pouca cobertura vegetal terem sido tão diferentes na época chuvosa deve-se justamente à esta falta de cobertura vegetal, diferente das outras estações, reforçando a importância da cobertura vegetal como um controlador natural da umidade do solo. Quanto à variabilidade temporal, esta é mais sujeita aos efeitos climáticos, como por exemplo a precipitação, enquanto que a variabilidade espacial está mais atrelada aos termos invariáveis no tempo. Ainda, a calibração das sondas foi efetuada com sucesso e representam bem a umidade do solo para a área de estudo, tornando possível o contínuo monitoramento desta bacia experimental.