Accelerometer data can be analyzed using a variety of methods which are effective in the clinical setting. Time-series analysis is used to analyze spatiotemporal variables in various populations. More recently, investigators have focused on gait complexity and the structure of spatiotemporal variations during walking and running. This study evaluated the use of time-series analyses to determine gait parameters during running. Subjects were college-age female soccer players. Accelerometer data were collected using GPS-embedded trunk-mounted accelerometers. Customized Matlab® programs were developed that included Gaussian continuous wavelet transform (CWT) to determine spatiotemporal characteristics, detrended fluctuation analysis (DFA) to examine gait complexity and autocorrelation analyses (ACF) to assess gait regularity. Reliability was examined using repeated running efforts and intraclass correlation. Proof of concept was determined by examining differences in each variable between various running speeds. Applicability was established by examining gait before and after fatiguing activity. The results showed most variables had excellent reliability. Test-retest R2 values for these variables ranged from 0.8 to 1.0. Low reliability was seen in bilateral comparisons of gait symmetry. Increases in running speed resulted in expected changes in spatiotemporal and acceleration variables. Fatiguing exercise had minimal effects on spatiotemporal variables but resulted in noticeable declines in complexity. This investigation shows that GPS-embedded trunk-mounted accelerometers can be effectively used to assess running gait. CWT and DFA yield reliable measures of spatiotemporal characteristics of gait and gait complexity. The effects of running speed and fatigue on these variables provides proof of concepts and applicability for this analytical approach. / Master of Science / Fitness trackers have become widely accessible and easy to use. So much so that athletic teams have been using them to track activity throughout the season. Researchers are able to manipulate data generated from the fitness monitors to assess many different variables including gait. Monitoring gait may generate important information about the condition of the individual. As a person fatigues, running form is theorized to breakdown, which increases injury risk. Therefore the ability to monitor gait may be advantageous in preventing injury. The purpose of this study is to show that the methods in this study are reproducible, respond reasonably to changes in speed, and to observe the changes of gait in the presence of fatigue or on tired legs. Three analyses are used in this study. The first method called autocorrelation, overlays acceleration signals of consecutive foot strikes, and determines the similarity between them. The second method utilizes a wave transformation technique that is able to determine foot contact times. The final method attempts to determine any pattern in the running stride. This method looks for changes in the structure of the pattern. Less structure would indicate a stride that is fatigued. The results showed that the methods of gait analysis used in this study were reproducible and responded appropriately with changes in speed. Small changes in gait were observed due to the presence of fatigue. Further investigation into the use of these methods to determine changes in gait due to the presence of fatigue are warranted.

時間數列分析自一九七０年Box-Jenkins 發展出自我迴歸移動平均整合模式（簡稱Ａ ＲＩＭＡ（ｐ，ｄ，ｑ））建立法後，便更普遍地應用於經濟、企管、工程及物理等 相關領域上。但利用Box-Jenkins 的鑑定方法一般只對ＭＡ或ＡＲ模型有效，而對混 合的ＡＲＭＡ模型則不適用。其後陸續有統計學者提出不同的鑑定方法，但都無法有 效地決定Ｐ、ｄ、ｑ階數。 直至一九八四年以後，Tsay和Tiao兩位學者才又提出了一套有效的鑑定法則，利用擴 展的樣本自我相關函數（Extended Sample Autocorrelation Function）或正規分析 （Canonical Analysis）求出的最小正規相關係數（The Smallest Canonical Corr- elation ）做為鑑定ｐ、ｄ、ｑ的準則。這兩種方法的優點皆為可直接處理平穩或非 平穩型時間數列，而不用事先決定差分的階數，而且對混合ＡＲＩＭＡ模型亦有效。 對於有異常點（Outlier ）存在的時間數列，其可能由於某些外在的介入因素所引起 ，而ＡＲＩＭＡ模型對資料的配適是不足夠的。因此該如何發現異常點的存在及加入 合理的介入模式亦構成了模型鑑定的問題。本文除對Tsay和Tiao的方法做一說明外， 亦利用其鑑定方法對存在有異常點的時間數列做一分析，並由實證研究探討其對季節 模型的鑑定效果。

鑒於過去文獻可知，由於同一地區內的鄰近住宅擁有相同區位及市場特性，因而不動產價值存在高度相依性。空間相依性的產生往往是因為近鄰區域內的住宅有相似的建築結構（往往在同一個時間所興建），以及享有相同社會服務。由於建商在產品策略決策上會參考同一時間內鄰近競爭個案的產品策略，所以鄰近的新推個案會有相似的建築特徵以及相似的產品訂價。因此新推個案的訂價與鄰近的個案產生相關性，而新推個案訂價的相依性程度也會隨著時間距離遞減。 　　本文的目的在於將空間和時間的相依性最適地納入新推個案的訂價模型。採用582個台北市建商推案樣本進行實證。本研究分別以Moran’s I值和LISA值兩項指數來檢測空間自相關，並且比較傳統OLS迴歸模型、空間落遲模型，以及空間誤差模型三個模型的預測能力。此外，我們以不同的空間和時間的加權矩陣納入空間誤差模型中討論。 　　研究結果顯示，考量空間相依性之空間迴歸模型其解釋能力明顯優於一般傳統迴歸模型。而比起空間統計模型，時空迴歸模型更可以提高估計新推個案訂價的準確性。此外，研究結果亦顯示考慮時空交互影響的時空迴歸模型乃為新推個案訂價的最佳推估模式。 / It is well-known from the literature that the values of real estates are highly dependent on their locational and market characteristics of the buildings in adjacent areas. Spatial dependence mainly derives from factors that buildings at nearby properties have similar structural features (which were often developed at the same time) and often share the same social welfare. As developers in making decisions on product strategy will make reference to the strategy of nearby products of competitive cases which developed during the same time, therefore, within a certain period of time, the adjacent new construction will often have similar construction attributes as well as similar products pricing. Not only the pricing of a new construction is likely to be related to the pricing of adjacent new construction, but also the pricing of a new construction would be prone to autocorrelation decays in accordance with time distance. The aim of this paper is to analyze on how to take this temporal and spatial dependence into account in the pricing model of the new construction in the most appropriate way. We use a database of 582 asking prices of real estate developers in Taipei city. Two indices for measuring spatial autocorrelation are considered including (i) Moran’s I Index and (ii) LISA’s Index. We compared the predictive ability of three models including (i) OLS model, (ii) spatial lag model, and (iii) spatial error model. Moreover, we discussed the different temporal and spatial weight matrices in the spatial error model. According to our research results, we concluded that spatial statistical models obviously perform better than the traditional OLS model. Temporal and spatial statistical models would provide more accurate predictions on the pricing of a new construction than spatial statistical models do. The research result reveals that the best pricing model of the new construction is temporal and spatial statistical models which include temporal and spatial correlation.

Die Kapitel 1 bis 6 im ersten Teil dieses Skriptes beruhen auf einer Vorlesung Ökonometrie I, die zuletzt im WS 2001/02 gehalten wurde, die Kapitel 7 bis 16 beruhen auf einer Vorlesung Ökonometrie II, die zuletzt im SS 2006 gehalten wurde. Das achte Kapitel enthält eine komprimierte Zusammenfassung der Ergebnisse aus dem Teil Ökonometrie I.

The predictability of the US-based international mutual fund returns has received renewed consideration in recent academic studies. This dissertation extends recent research by exploring the 2,479 daily return observations covering the period from January 4, 1993 to October 31, 2002 for all categories of international mutual funds. This exploration splits the sample, uses the initial sub-sample to investigate return patterns of international mutual funds and develops trading rules based on the predictable return patterns, and tests those rules on the holdout sample. The empirical findings suggest that smart investors may earn higher riskadjusted returns by following daily dynamic trading strategies. The excess returns earned by investors are statistically and economically significant, irrespective of load or no-load mutual funds and even in the presence of various exchange restrictions and regulations.

Primary School Pupil Numbers and Demographic Change in Czech Municipalities Abstract Following a sharp fall in fertility to its historical minimum after 1990, the population of Czechia began to increase again gradually. Consequently birth cohorts of varying size are emerging and these then enter the education system. Moreover suburbanisation has led to a change in population distribution. These factors have mean that in some areas primary school capacity does not reflect the numbers of primary school age children, with some schools having insufficient places and others suffering from a lack of pupils. The aim of this dissertation is to analyse regional demographic change in Czechia after 1990, including changes in the spatial pattern of compulsory school age children (6-14 years). The information obtained is set against the changes in the spatial patterns of primary school pupils and maximum primary school capacity. The whole analysis is undertaken within the catchment regions for combined primary schools (schools that provide nine years of primary and middle school education), which were created on the basis of the shortest road distance from the district to the nearest combined primary school. Webb's graphs were used along with spatial autocorrelation since these are appropriate methods for conducting...

Objetivo Caracterizar a ocorrência de dengue na cidade de Rio Brando, estado do Acre, no período de 2000 a 2007, no tempo, no espaço e segundo infestação pelo Aedes aegypti e vari- áveis demográficas, socioeconômicas, ambientais e climáticas. Métodos Foi realizada uma descrição da incidência de dengue (CI) e da infestação predial pelo Aedes aegypti (IIP) no período de 2000 a 2007 a partir de dados secundários. Descreveu-se a incidência da dengue em relação ao sexo, faixa etária e escolaridade. O Coeficiente de Incidência e o Índice de In- festação Predial foram testados para aferição de correlações com variáveis climáticas, demo- gráficas, ambientais e socioeconômicas. Foi aplicada a técnica de geoprocessamento com o uso da estatística espacial de Moran Global e Local (LISA) para avaliar a autocorrelação es- pacial dos coeficientes de incidência de dengue entre as localidades urbanas da cidade. Resul- tados - A epidemiologia da dengue na cidade é caracterizada por elevada incidência e intensa infestação predial pelo Aedes aegypti. Não existe diferença na incidência de dengue entre ho- mens e mulheres e a faixa etária mais acometida compreende jovens e adultos de 15 a 49 anos e escolares que não concluíram o ensino médio. A distribuição da doença mostra um padrão sazonal com elevação da incidência nos períodos chuvosos e regressão nos períodos secos. O aumento de casos de dengue e da infestação predial mostrou associação significante (p<0,05) com bairros populosos, onde existe muitos imóveis e alta infestação predial. O aumento das ocorrências se mostrou significante com áreas com baixo índice de abastecimento de água pela rede pública. O Índice de Qualidade de Vida (IQV) não apresentou correlação significa- tiva com a ocorrência de dengue, entretanto, a infestação predial foi mais elevada nos bairros com melhor IQV. A estatística de Moran Global e Local (LISA) mostrou fraca dependência espacial (p<0,05) da incidência de dengue entre bairros da cidade. Conclusão - A análise epi- demiológica da dengue na cidade permitiu visualizar fatores que estão relacionados à trans- missão de dengue e na proliferação do Aedes aegypti que podem ser avaliados na formulação de estratégias mais eficazes para alcançar o melhor controle da doença. O uso da análise espa- cial evidenciou que a distribuição da incidência de dengue entre os bairros da cidade ocorre de maneira aleatória / Objective - Characterize the ocurring of dengue in the city of Rio Branco, Acre, during the period 2000 to 2007, in time and space, and according to the infestation of Aedes Aegypti and the demographic, social-economical, environmental and climatical variables. Methods - a description of dengue incidence (CI) and the house infestation by Aedes aegypti (HI) was made in the period of 2000 to 2007 from secondary data. The distribution of cases was described according to gender, age and education. The Incidence Coefficient of incidence and the House Index Infestation were tested to measure their correlations with demographic, environmental and socioeconomic climatic variables. The geoprocessing technique was applied with the use of Global and Local Moran (LISA) spatial statistics to evaluate spatial autocorrelation of incidence of dengue among the urban localities in the city. Results - The epidemiology of dengue in the city is characterized by high incidence and severe infestation of Aedes aegypti. Theres no difference between the incidence of dengue on men and women and the most affected age group comprises young adults from the age of 15 to 49 years old and students who have not completed high school. The distribution of the disease shows a seasonal pattern with increased incidence in rainy periods and regression in dry periods. The increase of dengue cases and the building infestation showed significant association (p <0.05) with the populated districts, where there are many buildings and high building infestation. The increase in occurrence was found significant in areas with low public water supply. The Quality of Life Index (QLI) showed no significant correlation with the occurrence of dengue, however, the infestation rate was higher in districts with better QLI. Global and Local Moran (LISA) statistics showed weak spatial dependence (p <0.05) of the incidence of dengue among neighborhoods. Conclusion - The epidemiological analysis of dengue in the city allowed the visualization of the factors that are related to the transmission of dengue and the proliferation of Aedes aegypti that can be assessed in the formulation of more effective strategies to achieve better control of the disease. The use of the spatial analysis revealed the randomness of dengue incidence distribution among the neighborhoods of the city

L'agriculture actuelle est impliquée dans de multiples problématiques environnementales, sociales et économiques, aux échelles locales et globales. En agronomie, de nombreux travaux à l'échelle du champ et de l'exploitation visent aujourd'hui à concevoir des systèmes de culture et des systèmes de production en lien avec ces problématiques. En revanche, peu de travaux portent sur la conception et l'évaluation de systèmes agricoles à l'échelle du territoire, alors que cette échelle apparaît pourtant incontournable pour faire face à des enjeux de développement durable. Pour combler ce manque, nous proposons un ensemble méthodologique permettant i) de simuler les conséquences de scénarios de politiques agricoles sur les choix d'assolement des agriculteurs, décrits individuellement, en modélisant l'évolution de leurs système de production et ii) d'évaluer l'impact de ces changements d'assolements à l'échelle du territoire, à l'aide d'indicateurs qui apportent de l'information spatiale sur la contribution de l'agriculture au développement durable. L'ensemble méthodologique proposé débute par la construction d'une typologie des exploitations agricoles du territoire sur la base de la similarité de leur assolement. Parallèlement, l'adaptation d'indicateurs à l'échelle du territoire permet d'évaluer les impacts des externalités des systèmes de culture en mobilisant des procédures de changements d'échelles. Un modèle bioéconomique générique, multi-échelle, spatialement explicite, appelé MOSAICA, qui utilise la typologie et les indicateurs d'impact de l'agriculture à l'échelle régionale, est créé pour produire des mosaïques de systèmes de culture et évalue leur contribution au développement durable du territoire. Ce modèle, couplé à un itinéraire de définition de scénarios exploratoires et normatifs permet de tester l'impact de différents types de leviers agronomiques, socio-économiques, environnementaux, organisationnels et techniques sur les choix des exploitants et in fine sur la contribution de la mosaïque de systèmes de culture au développement durable du territoire. Nous avons appliqué cet ensemble méthodologique à la conception de scénarios de développement agricoles durables en Guadeloupe. Nous avons dans un premier temps développé une typologie des systèmes de production comprenant huit types distincts et relevant de processus décisionnel différents. Puis nous avons adapté à l'échelle du territoire 19 indicateurs pour l'évaluation des mosaïques de systèmes de culture. L’évaluation de la mosaïque actuelle nous a permis de repérer de faibles niveaux de contribution aux enjeux d’autonomie alimentaire et énergétique. Différents scénarios normatifs et exploratoires intégrant des leviers de changement de la mosaïque ont été testés avec MOSAICA. Les évaluations réalisées nous ont permis d'identifier que des leviers agronomiques comme le développement du maraîchage sans intrants chimiques et des leviers sociaux comme la formation de main-d'oeuvre supplémentaire permettraient d'améliorer la contribution de l’agriculture au développement durable du territoire Guadeloupéen. La modélisation mécaniste de l’évolution du territoire agricole permet d'intégrer des connaissances sur la localisation, les performances, les impacts des systèmes de culture et sur les processus décisionnels des exploitants régissant l’orientation productive et le fonctionnement des exploitations. Cette démarche permet de visualiser les changements de système de culture et leurs impacts de manière spatialement explicite, ce qui permet de générer des connaissances sur les leviers susceptibles de faire évoluer positivement l'agriculture du territoire. La démarche et les outils mis en oeuvre sont donc particulièrement utiles pour l'aide à la décision publique pour améliorer la durabilité de l'agriculture dans son ensemble. / Current agricultural systems are responsible for many different environmental, social and economic issues at both local and global scales. Agricultural sciences have contributed to the design of several methods at the farm and field scale in order to prototype cropping systems and farming systems to address these issues. However, few methods have been designed at the regional scale, while this scale seems to be essential in order to address these issues. In order to fill this gap, we here propose a new methodological framework for i) simulating the consequences of policy changes on farmer's cropping plan, described individually, by modeling the evolution of farming systems and to ii) assess the impacts of cropping system changes at the regional scale, with a set of indicators that generate spatially explicit information on the contribution of agriculture to sustainable development. The methodological framework starts with the design of a farm typology over the territory based on the similarity of farmer's crop acreages. In parallel, a set of indicators is adapted to the landscape scale in order to assess the impacts of cropping system externalities by integrating a set of scale change procedures. A generic, multi-scale, spatially explicit bioeconomic model called MOSAICA, which uses the farm typology and the indicators, is created for generating cropping system mosaics and assessing their contribution to sustainable development. This model coupled to a scenario approach composed of exploratory and normative scenarios can simulate the impact of several types of agronomic, socio-economic, environmental, organizational and technical levers of change on the farmer's choices in terms of cropping systems and in fine the impacts of new cropping system mosaics on the contribution to sustainable development of territories. We applied this methodological framework for building scenarios of sustainable agricultural development in Guadeloupe. We first developed a typology of farming systems encompassing eight types of farming systems that revealed several different farmer's decision processes. Then, we developed 19 indicators to assess cropping system mosaics. The assessment of the current cropping system mosaic showed low levels of response of the current mosaic to economic and social issues especially the food and energy self-sufficiency. Different normative and exploratory scenarios integrating levers of change have been simulated with MOSAICA. The assessment of cropping system mosaics from these scenarios highlighted the positive effect of agronomic levers of change such as organic crop-gardening and social levers such as the vocational training of supplementary workforce for improving the contribution of agriculture to sustainable development of the guadeloupean territory. The mechanistic modeling of the agricultural territory allows us to integrate a wide range of knowledge on the location of cropping systems, their levels of performance , their impacts and the decision process of farmer's that drive the farming system characteristics and the farm functioning. This methodological framework helps visualize the cropping system changes at the regional scale and their associated impacts at the landscape scale which is helpful in order to produce knowledge on the levers of change that can improve the response of local agriculture to local and global issues. The framework and tools designed are particularly useful for decision-aid on the future levels of contribution of agriculture to sustainable development.

A acessibilidade está relacionada com a maneira como a disponibilidade de transportes e os usos do solo afetam os indivíduos na realização de viagens para o desenvolvimento de suas atividades habituais. Freqüentemente se assume que os moradores de baixa renda da periferia são os mais afetados pela falta de acesso aos meios de transporte. A questão subjacente a esta afirmação, no entanto, permanece sem uma resposta definitiva: o nível de renda, por si só, seria um indicativo do nível de acessibilidade? O objetivo deste estudo é explorar a união de ferramentas de estatística espacial e SIG (Sistema de Informações Geográficas) com um propósito específico, que é o de analisar as relações entre aspectos da distribuição espacial de características da população (como a renda, por exemplo) de uma cidade média brasileira e os diversos níveis de acessibilidade por diferentes modos de transporte nela observados, buscando possíveis respostas para esta pergunta. Quando se utiliza procedimentos de visualização e classificação de dados espaciais comuns em SIG, nem sempre as informações são diretamente perceptíveis. Logo, deve-se utilizar ferramentas que ampliem as possibilidades de compreensão e análise dos dados. Inicialmente, as ferramentas selecionadas para uso neste trabalho são apresentadas e discutidas quanto à sua aplicação e utilização na análise proposta. Para tal foram utilizados dados coletados em uma pesquisa origem–destino (O-D) realizada na cidade de Bauru - SP, agrupados por setores censitários e adicionados ao SIG, aplicando técnicas de estatística espacial utilizadas para entidades do tipo área. Os resultados obtidos são apresentados na forma de mapas e de índices que medem a associação espacial global e local entre estas zonas. Uma das conclusões interessantes da aplicação foi a identificação de regiões da cidade com dinâmica particular, que contrariam o padrão global observado nas demais partes da área urbana. Pôde-se constatar ainda particularidades a respeito do uso de cada modo de transportes. O modo automóvel como motorista, por exemplo, possui agrupamento espacial bem definido no nível de renda alta tanto nas regiões de periferia, como nas de transição e central. Já o modo ônibus é predominantemente utilizado nas zonas de renda baixa das regiões de periferia e transição, enquanto que os modos não motorizados possuem uma dinâmica bem diversificada em toda a área urbana. Estes e outros resultados do estudo de caso deixam claro que as análises de estatística espacial em ambiente SIG criam uma ferramenta para ampliar a análise convencional de acessibilidade em transportes / Transportation accessibility is directly related to the level of transportation supply and land uses and the way they affect individuals in their trip desires for accomplishing regular-basis activities. It is often assumed that low-income segments of the population living at the periphery of the cities are those affected the most by poor conditions of transportation accessibility. There is a subjacent question behind this statement, however, which is: can the income level or the location of an individual alone explain his/her accessibility level? In order to look for answers to this question, the aim of this study is to analyze, making use of spatial statistics tools in a GIS (Geographic Information System) environment, the relationships between accessibility and income and their geographical distributions in a medium-sized Brazilian city. The application of the most commonly used GIS resources, such as visualization and spatial data classification tools, not always assures a full comprehension of the phenomenon under analysis. As a consequence, many problems require tools that enhance the possibilities of observation and analysis. As tools with this characteristic have been used in this work, they were initially introduced. Thereafter, the possibilities of use of these tools in the problem analyzed were also discussed. Data of an origin-destination (O-D) survey carried out in the city of Bauru, located in the state of São Paulo, which brings information about four different transportation modes, were used in this study. Such data, grouped following the census tracts, were carefully examined in a Geographic Information System in order to look for spatial patterns of accessibility that are not visible in the traditional approaches. The results of the analysis are presented in maps and as indices that are able to capture glabal and local spatial association patterns in areas. One of the interesting outcomes of the application was the identification of regions with particular dynamics, which go against the pattern found in the overall urban area. Particularities regarding each particular transportation mode have also been noticed. The zones where the automobile is most used (by drivers, not by passengers) are spatially clustered, regardless if the zone is at the periphery, transition zone or central area of the city. The bus trips are predominantly carried out in low-income areas of the periphery and transition rings, while the non-motorized modes (walk and bicycle) have shown a very diversified dynamics in the entire urban area. This and other results of the case study clearly indicate that spatial statistics analyses in a GIS environment create a powerful tool to extend conventional transportation accessibility analysis

Resumo: Com o surgimento de áreas degradadas por ações antrópicas, os atributos físicos e químicos do solo e os caracteres silviculturais, passaram a ter importância quanto ao entendimento do processo sucessional das espécies arbóreas e no planejamento de recomposição da paisagem. Este trabalho teve como objetivo avaliar a distribuição de espécies arbóreas em áreas com diferentes níveis de perturbação antrópica, promover a compreensão da relação com os atributos químicos e físicos do solo; avaliar caráteres silviculturais e a relação como possível fator definidor do tipo vegetacional existente, para fins de integrar a programa de conservação genética in situ. O trabalho foi desenvolvido em área da Fazenda Experimental de Pesquisa e Extensão (FEPE) da UNESP de Ilha Solteira, no município de Selvíria - MS. Por meio de transecto foram demarcadas 64 parcelas equidistantes de 50 m com dimensões de 10x10 m. Sendo: 29 parcelas em área altamente antropizada (AAA); cinco em área medianamente antropizada (AMA); 15 em área pouco antropizada (APA); seis na mata ciliar do córrego da Véstia (Mata ciliar) e nove na Reserva legal. As amostras de solo foram coletadas em quatro profundidades (0,0 a 0,10 m; 0,10 a 0,20 m; 0,20 a 0,30 m e 0,30 a 0,40 m) para análise dos atributos físicos e duas profundidades (0,0 a 0,20 m e 0,20 a 0,40 m) para os atributos químicos além da avaliação dos caracteres silviculturais, como altura, diâmetro a altura do peito (DAP) e forma, e da autocorrelação espacial. Com base nos resultados conclui-se que: os atributos físicos e químicos do solo, associados ao nível de antropização e conservação das áreas, estão influenciando a ocorrência natural, diversidade de espécies e desenvolvimento dos indivíduos arbóreos; a altura, DAP e Forma, são bons indicadores para avaliar o crescimento das espécies arbóreas e relacioná-los aos ... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: With the emergence of areas degraded by human actions, the physical and chemical soil properties and forestry traits, have gained importance in understanding the process of succession of tree species and restoration of landscape. This study aimed to evaluate the distribution of tree species in areas with different levels of human disturbance, promote understanding of the relationship with the chemical and physical properties of soil; evaluate forestry charatcer relationship as possible and defining factor of the existing vegetation type, for to integrate the program of genetic conservation in situ. The work was developed at the Experimental Farm Research and Extension (FEPE) from UNESP of Ilha Solteira, Selvíria - MS. Through transect were marked 64 plots of 50 m equidistant with dimensions of 10x10 m. Where: 29 plots was located in area highly impacted (AAA), five in moderately disturbed area (AMA) in 15 in little disturbed area (APA); six in Riparian forest river of Véstia (Riparian Forest) and nine in the Legal Reserve. Soil samples were collected at two depths (0,0-0,20 m and 0,20-0,40 m) for the analysis of chemical and four depths (0,0-0,10 m, 0,10-0,20 m, 0,20-0,30 m and 0,30-0,40 m) for physical attributes; assessment of forestry traits such as height, diameter at breast height and shape, and spatial autocorrelation. Based on the results concluded that: the physical and chemical soil properties associated with the level of human disturbance and conservation areas, are influencing the natural occurrence, species diversity and development of the individual trees; the height, diameter at breast height and shape are good indicators to assess the growth of tree species and relate them to physical and chemical attributes of soil; the AAA, and the AMA to show similarity of soil physical properties; APA and Legal reserve have higher natural occurrence, number of individuals and number ... (Complete abstract click electronic access below) / Orientador: Mario Luiz Teixeira de Moraes / Coorientador: Salatiér Buzetti / Banca: Enes Furlani Júnior / Banca: Marco Eustaquio de Sá / Banca: Flávio Bertin Gandara / Banca: Daniela Silvia de Oliveira Canuto / Doutor