Submitted by Maicon Juliano Schmidt (maicons) on 2015-07-06T16:35:49Z No. of bitstreams: 1 Luana Carine Schünke.pdf: 7508388 bytes, checksum: a12396bedf39ca3d110912e0a25ef468 (MD5) / Made available in DSpace on 2015-07-06T16:35:49Z (GMT). No. of bitstreams: 1 Luana Carine Schünke.pdf: 7508388 bytes, checksum: a12396bedf39ca3d110912e0a25ef468 (MD5) Previous issue date: 2013-01-31 / Nenhuma / Cidades participativas são aquelas em que os seus cidadãos participam na construção e melhora do cotidiano da sua cidade. Neste sentido, a ideia é de que através de uma página virtual as pessoas possam registrar eventos relacionados a sua cidade. Exemplos de eventos são crimes, acidentes, manutenções, entre outros. Através da mesma página virtual, os cidadãos também podem visualizar informações sobre a sua cidade, essas visualizações são resultantes da integralização dos dados registrados pelos próprios cidadãos. O objetivo deste trabalho é gerar a visualização e a interação de diferentes classes de ocorrências em cidades participativas. Para isso, são estudados vários conceitos como: visualização de informações, diagramas de Voronoi, árvore quaternária, envoltória convexa e API do Google Maps. A partir desses estudos, é criado um modelo de visualização de ocorrências. As visualizações resultantes geram regiões de acordo com a densidade das ocorrências. A interação entre duas classes de ocorrências acontece com base nas densidades das ocorrências e também de acordo com uma distribuição de contexto. As classes de ocorrências escolhidas para as interações são ocorrências criminais e ocorrências policiais. A distribuição de contexto riqueza é aplicada com o intuito de ser um atrativo para as ocorrências criminais. O comportamento do sistema oriundo das interações é analisado e representado graficamente. / Participatory cities are those that citizens participate in the construction and improvement of their common daily life. In this direction, the idea of this work is that through a website people can record issues/occurrences related to their city. Examples of occurrences are crimes, accidents, maintenance issues, among others. Through the same site, citizens can get global information about the city, resulted from the integration of the supplied data by the use of a visualization scheme. The goal of this work is to create views and interactions about the occurrences registered in a participatory city. For this, many concepts are studied like: data visualizing, Voronoi diagrams, quaternary tree, convex hull and Google Maps API. Starting from this studies, there is created a model visualization of occurrences. The resulting visualizations generate regions according occurrences densities. Based on occurrences densities and also in agreement with a context distribution the interaction between two classes of events befall. Criminal occurrences and police occurrences are the classes of events selected to interact. The wealth context distribution is apllied with the aim to be attractive for the criminal occurrences. The system behavior arising from interactions is analyzed and graphically represented.

Nesta tese buscou-se esboçar um cenário das ocupações ceramistas pré-coloniais, entre 600 e 1.400 DC, na região da Amazônia brasileira. Através do banco de dados georreferenciado foram realizadas análises correlacionando diferentes aspectos que compõem o sítio arqueológico, possibilitando a identificação de mudanças ou continuidades de determinadas sociedades em escala regional. Ao final percebeu-se que algumas áreas possuíam maior trânsito de pessoas e ideias do que outras regiões, refletindo em diferentes níveis de variabilidade observadas no contexto arqueológico. / This thesis sought to outline a scenario of precolonial ceramic occupations, between 600 and 1400 AD in the Brazilian Amazon region. Through the georeferenced database, analyzes were carried out correlating different aspects that make up the archaeological site, allowing the identification of changes or continuities of certain societies on a regional scale. At the end it was realized that some areas had greater movement of people and ideas than other regions, reflecting different levels of variability observed in the archaeological context.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The georeferenced soil sampling using sampling grids is the main strategy of precision agriculture (PA) to recognize the spatial variability of soil attributes, allowing manage them in site-specific. In this context, the objective of the work was to evaluate the efficiency of using different sizes of sampling grids in the characterization of spatial variability of chemical attributes in Oxisols managed with PA in Southern Brazil. Therefore, the work consists of three studies. In studies one and two were used 60 areas (6,046.55 ha), located in 23 counties of North region of Rio Grande do Sul (RS). The areas were sampled using regular grids of 100 x 100 m (20 areas), 142 x 142 m (20 areas) and 173 x 173 m (20 areas), being that 10 areas of each grid were collected from 0.00-0.10 m and 10 areas from 0.00-0.15 m. The spatial variability of acidity attributes (pHwater and base saturation) and bases related (Ca and Mg) (study one) and the levels of P and K (study two) were analyzed by descriptive statistics and geostatistics. In study three, was used an area of 41.96 ha, located in Boa Vista das Missões - RS, where was made the collect of soil in seven sizes of sample grids, 50 x 50 m, 75 m x 75, 100 x 100 m, 125 m x 125, 150 x 150 m, 175 m and 200 x 175 x 200 m, at depth of 0.00-0.10 m. The levels of P and K were analyzed by descriptive statistics and geostatistics, and the similarity of thematic maps was compared by the coefficient of relative deviation (CRD) and by Pearson correlation matrix (p <0.05). The areas of Oxisols managed with PA in RS, show moderate acidity and high fertility, with the exception of subareas that presents limiting P levels. Independently of the depth sampled, the grid sample sizes used in RS state, in general, are not efficient in capturing the different scales of variability in soil chemical properties. According as increase the sample grid the thematic maps of P (CRD: 24.0 to 36.2%) and K (CRD: 11.7 to 19.4%) show more dissimilar to those obtained in smaller grid (50 x 50 m) considered as reference. Thus, the reduction of sampling grid sizes increases the accuracy of the information generated through thematic maps, allowing to do prescriptions of lime and fertilizers on site-specific with greater efficiency, and should be recommended in future sampling plans of soil adopted in PA areas in Southern Brazil. / A amostragem georreferenciada de solo utilizando malhas regulares é a principal estratégia da agricultura de precisão (AP) para reconhecer a variabilidade espacial dos atributos de solo, possibilitando manejá-los em sítio-específico. Nesse contexto, o objetivo do trabalho foi avaliar a eficiência do uso de diferentes dimensões de malhas amostrais na caracterização da variabilidade espacial de atributos químicos em Latossolos Vermelhos manejados com AP no Sul do Brasil. Para tanto, o trabalho constitui-se de três estudos. Nos estudos um e dois utilizaram-se 60 áreas (6.046,55 ha), localizadas em 23 municípios da região Norte do Rio Grande do Sul (RS). As áreas foram amostradas utilizando malhas regulares de 100 x 100 m (20 áreas); 142 x 142 m (20 áreas) e 173 x 173 m (20 áreas), sendo que 10 áreas de cada malha foram coletadas de 0,00-0,10 m e 10 áreas de 0,00-0,15 m. A variabilidade espacial dos atributos de acidez (pHágua e saturação por bases) e bases relacionadas (Ca e Mg) (estudo um) e dos teores de P e K (estudo dois) foram analisadas por meio da estatística descritiva e geoestatística. No estudo três, utilizou-se uma área de 41,96 ha, localizada em Boa Vista das Missões RS, onde foi realizada a coleta de solo em sete dimensões de malha amostral, 50 x 50 m, 75 x 75 m, 100 x 100 m, 125 x 125 m, 150 x 150 m, 175 x 175 m e 200 x 200 m, na profundidade de 0,00-0,10 m. Os teores de P e K foram analisados por meio da estatística descritiva e da geoestatística, e a similaridade dos mapas temáticos foi comparada pelo coeficiente de desvio relativo (CDR) e pela matriz de correlação de Pearson (p <0,05). As áreas de Latossolos Vermelhos manejadas com AP no estado do RS apresentam moderada acidez e alta fertilidade, com exceção de locais que apresentam teores limitantes de P. Independente da profundidade amostrada, as dimensões das malhas amostrais utilizadas no RS, em geral, não são eficientes em captar as diferentes escalas de variabilidade dos atributos químicos do solo. À medida que aumenta a malha amostral os mapas temáticos de P (CDR: 24,0 a 36,2%) e K (CDR: 11,7 a 19,4%) mostram-se mais dissimilares aos obtidos na menor malha (50 x 50 m) considerada como referência. Desta forma, a redução da dimensão da malha amostral aumenta a acurácia das informações geradas por meio de mapas temáticos, permitindo realizar prescrições de corretivos e fertilizantes em sítio-específico com maior eficiência, e devem ser preconizadas em futuros planos de amostragem de solo adotados nas áreas de AP no Sul do Brasil.

La presente tesis tiene por finalidad elaborar una base de datos en el Software Qgis, aplicando la técnica del Método PCI con un sistema georreferenciado para conocer el estado actual de los pavimentos rígidos y flexibles del distrito de Bellavista, Sullana. En primer lugar, se zonifica el área de análisis según el tipo de pavimento que presentan las vías y se realiza la clasificación de las calles y transversales donde es aplicable el Método PCI (Pavement condition Index). Seguido de la obtención de las cantidades de unidades de muestra por secciones (avenidas, calles o transversales), para posteriormente realizar el inventario de fallas en una hoja de registro y obtener el índice de condición de las unidades de muestra, y más adelante determinar la condición de toda la calle. Con la información recolectada en campo, y después de haber realizado el levantamiento topográfico de las secciones analizadas que es determinante para elaborar la base de datos en el software, se lleva a cabo el seguimiento a las fallas para determinar sus coordenadas UTM utilizando un GPS navegador. Una vez obtenida el detalle de las fallas y sus respectivas coordenadas se procede a realizar los trabajos de gabinete donde se modela en el Software Qgis el mapa catastro y se insertan las coordenadas de cada falla evaluada. Por lo que, el estudio se centra en crear una base de datos con los índices de condición de las vías que componen el distrito de Bellavista. Finalmente, a través de la base de datos se puede generar una herramienta útil y eficaz para la Municipalidad de Bellavista, ya que actualmente no cuenta con información suficiente para realizar el control y monitoreo de los pavimentos. / The purpose of this thesis is to elaborate a database in the Qgis Software, applying the PCI Method technique with a georeferenced system to know the current state of rigid and flexible pavements in the Bellavista district, Sullana. In the first place, the analysis area is zoned according to the type of pavement that the roads present and the classification of the streets and cross-sections where the PCI Method (Pavement condition Index) is applicable is carried out. Followed by obtaining the quantities of sample units by sections (avenues, streets or cross-sections), to later carry out the inventory of failures in a record sheet and obtain the condition index of the sample units, and later determine the condition of the entire street. With the information collected in the field, and after having carried out the topographic survey of the analyzed sections, which is decisive for preparing the database in the software, the faults are tracked to determine their UTM coordinates using a GPS navigator. . Once the details of the faults and their respective coordinates have been obtained, the cabinet work is carried out where the cadastre map is modeled in the Qgis Software and the coordinates of each evaluated fault are inserted. Therefore, the study focuses on creating a database with the condition indices of the roads that make up the Bellavista district. Finally, through the database, a useful and effective tool can be generated for the Municipality of Bellavista, since it currently does not have enough information to carry out the control and monitoring of the pavements. / Tesis

Submitted by JOSIANE SANTOS DE OLIVEIRA (josianeso) on 2017-06-13T15:57:01Z No. of bitstreams: 1 Jonathan Machado_.pdf: 1018280 bytes, checksum: ac428b5c72c1ef24649cb96a3a778512 (MD5) / Made available in DSpace on 2017-06-13T15:57:01Z (GMT). No. of bitstreams: 1 Jonathan Machado_.pdf: 1018280 bytes, checksum: ac428b5c72c1ef24649cb96a3a778512 (MD5) Previous issue date: 2017-03-30 / Nenhuma / Os acidentes de trânsito de veículos são uma das maiores causas de mortes na população jovem mundial, e existe uma tendência ao crescimento no número de casos dos mesmos nos próximos anos. A ocorrência dos acidentes é influenciada por diversos fatores, tais como condições das vias, condições climáticas, fiscalização de leis por órgãos governamentais, dentre outros. Seria interessante conhecer de maneira mais detalhada quais destes fatores detém maior influência. Na internet, existe uma quantidade imensa de dados gerados pelos mais diversos órgãos e empresas, porém grande parte desta informação não é analisada por ninguém, seja por falta de acesso, ou porque os dados não estão estruturados de uma maneira que permita seu entendimento. A disponibilização de dados vem aumentando, seja por conta de políticas de dados abertos implantadas pelo governo ou através de ferramentas colaborativas da web, que possibilitam o registro de informações por parte da população, e que posteriormente disponibilizam seus dados. Este trabalho propõe um método de agrupamento de dados georreferenciados oriundos de diversas fontes, para realização de uma análise estatística utilizando a técnica de Análise de Componentes Principais, que poderá identificar de forma georreferenciada quais características influenciam mais na ocorrência de acidentes de trânsito de veículos. Após a análise, é explorada uma nova metodologia de visualização dos resultados, plotados sobre mapas, que podem servir de auxílio para órgãos do governo e tomadores de decisão que realizam ações para diminuir os acidentes de trânsito. / Traffic accidents of vehicles are one of the biggest causes of deaths in the world's young population, and there is a tendency to increase this number in the next years. The occurrence of accidents is influenced by several factors, such as road conditions, climatic conditions, law enforcement by government agencies, among others. It would be interesting to know in more detail which of these factors has the greatest influence. On the internet, there is an immense amount of data generated by diverse agencies and companies, but much of this information is not analyzed, either because of lack of access, or because the data is not structured in a way that allows its understanding. The availability of data is increasing, either through open data policies implemented by the government, or through collaborative web tools, which make it possible record information by population, and subsequently make their data available. This work proposes a method of grouping georeferenced data from several sources, to perform a statistical analysis using the technique of Principal Components Analysis, which can identify in a georeferenced way which characteristics influence more in the occurrence of traffic acidentes of vehicles. After the analysis, a new methodology for visualizing results, plotted on maps, is explored, which can serve as an aid to government agencies and decision makers who take actions to reduce traffic accidents.

Nesta tese é apresentada uma investigação de possibilidades em Inteligência Artificial na detecção de padrões e previsão de acidentes em rodovias. Para tanto, é realizada uma avaliação de diferentes técnicas de Aprendizado de Máquina baseadas em abordagens de agrupamento, classificação e predição de links, com base em dados de acidentes georreferenciados e modelados em estruturas de clustering, árvores (CART) e redes (redes neurais artificiais, redes bayesianas e redes complexas). Os resultados revelaram que as abordagens baseadas em redes complexas possibilitaram a detecção de estruturas de agrupamentos mais robustas, quando comparadas as técnicas tradicionais de clustering, uma vez que consideram na estrutura topológica dos dados conceitos de vizinhança. O agrupamento dos dados proporciona a redução da heterogeneidade das bases de dados, bem como a obtenção de regras de decisão (CART) com maior probabilidade de ocorrência e taxa geral de acerto. A classificação supervisionada da severidade dos acidentes em redes, utilizando as modelagens de redes neurais artificiais e redes bayesianas, permitiu identificar simultaneamente os fatores contribuintes a ocorrência dos acidentes, sejam estes associados ao motorista, as variáveis de infraestrutura viária ou as condições do ambiente. No entanto, por considerar o peso das variáveis utilizadas no processo de modelagem, a classificação por redes bayesianas tende a ser mais realista, sendo menos sensível ao overfitting. Quanto à predição dos acidentes, foi possível pela predição de links utilizando a abordagem de redes complexas bipartidas, identificar alta correlação entre os acidentes preditos e os acidentes observados para uma determinada época. A abordagem proposta é flexível ao número de variáveis necessárias ao processo de modelagem, o que permite a realização de um diversificado número de estudos. No entanto, quando se considera a modelagem simplificada, formada pelas variáveis recomendadas pelo Highway Safety Manual (HSM), da Association of State Highway na Transportation (AASHTO), verifica-se que a predição é mais precisa e acurada, uma vez que esta modelagem considera fundamentalmente variáveis de infraestrutura viária, enquanto que na modelagem geral são consideradas também variáveis ambientais, que são mais variantes no tempo e no espaço. Até o presente momento, o método proposto é o mais adequado para explicar o comportamento e aspectos dinâmicos em ambientes rodoviários. No entanto, a abordagem proposta foi limitada pela quantidade de dados explorados, bem como por anomalias decorrentes a processos de execução de obras no trecho da rodovia em análise. Ademais, pode ser aplicada em problemas de diferentes escalas e para diversos estudos de caso. Portanto, por meio da modelagem de redes bipartidas georreferenciadas é possível não apenas realizar a predição de acidentes em rodovias, como também verificar a variação da acidentalidade viária e os níveis de segurança e desempenho de uma rodovia. / This thesis presents an investigation of Possibilities in Artificial Intelligence in the detection of patterns and prediction of accidents on highways. For this, it is performed an evaluation of different machine learning techniques based on grouping, classification and prediction of links, based on data from georeferenced accidents and modeled on clustering structures, trees (CART) and networks (artificial neural network, Bayesian network and complex network). The results revealed that the approaches based on complex networks enabled the detection of structures of groupings more robust, when comparing traditional clustering techniques, when they consider in the structure topological data neighborhood concepts. The grouping of data provides the reduction of heterogeneity of the database, as well as obtaining decision rules (CART) with the higher probability of occurrence and general rate of hit. The classification supervised of the severity of accidents in networks, using the modelling of artificial neural networks and Bayesian networks, it allowed to simultaneously identify the factors contributing to the occurrence of accidents, whether these are associated with the driver, the road infrastructure variables or the environmental conditions. However, considering the weight of the variables used in the modeling process, the classification by Bayesian networks tends to be more realistic, being less sensitive too overftting. Regarding the prediction of accidents, it was possible to predict links using the approach of complex bipartite networks, to identify high correlation between predicted accidents and accidents observed for a certain time. The proposed approach is flexible to the number of variables necessary for the modeling process, which allows the realization of a diversified number of studies. However, when you consider the \"simplified modelling\", formed by the variables recommended by the Highway Safety Manual (HSM), of the Association of State Highway na Transportation (AASHTO), it is verified that the prediction is more accurate and precise, since this modelling considers fundamentally variables of road infrastructure, while that the \"general modelling\" are considered the also environmental variables, which are more variants in time and space. Up to the present moment, the proposed method is best suited to explain the behavior and dynamic aspects in the environment road. However, the proposed approach was limited by the amount of data explored, as well as by anomalies resulting from processes of execution of works in the stretch of the highway under analysis. Moreover, it can be applied to problems of different scales and for several case studies. Therefore, through the modeling of geo-referenced bipartite networks, it is possible not only to predict accidents on highways, but also to check he variation of road accidents and the safety and performance levels of a highway.

<p>Floods are common natural disaster occurring in most parts of the world. This results in damage to human life and deterioration of environment. There have been immense uses of technology to mitigate measures of flood disaster i.e. structurally and non-structurally. Undoubtedly, structural measures are very expensive and time consuming which involves physical work like construction of dams, reservoirs, bridges, channel improvement, river diversion and other embankments to keep floods away from people. Whereas non-structural measures is concerned with planning like flood forecasting and warning, flood plain zoning, relief and rehabilitation for reducing the risk of flood damage to keep people away from floods. Thus, non-structural measures involve analysis, planning providing spatial information on maps with high accuracy in less time. Non-structural measures can help decision maker to plan an effective emergency response towards flood disaster. A one of the good way to plan non-structural measures is to analyze impact of flood in the flood prone areas. The thesis tries to analyze impact of flood on environment along the demarcated flood prone areas of Lake Roxen and Lake Glan in Östergötland County, Sweden. The thesis also proposes how to use current flood information during flood emergency utilizing geographical information system. This provides spatial information for area in the flood zone for assessment regarding flood vulnerability.</p><p>Using map overlay analysis in GIS software (ArcGIS); flood prone areas and topographic data along Lake Roxen and Lake Glan were digitized from PDF maps. Thus, the thesis work is an effort to analyze impact of flood when areas along Lake Roxen and Lake Glan are flooded. ESRI® GIS software Arc Map 9 and Arc View 3.3 is used for data preparation, integrating, analyzing, and spatial data with attribute table information. Finally, to show GIS can be an effective tool for development of flood emergency system as a part of disaster preparedness by the decision makers.</p>

Floods are common natural disaster occurring in most parts of the world. This results in damage to human life and deterioration of environment. There have been immense uses of technology to mitigate measures of flood disaster i.e. structurally and non-structurally. Undoubtedly, structural measures are very expensive and time consuming which involves physical work like construction of dams, reservoirs, bridges, channel improvement, river diversion and other embankments to keep floods away from people. Whereas non-structural measures is concerned with planning like flood forecasting and warning, flood plain zoning, relief and rehabilitation for reducing the risk of flood damage to keep people away from floods. Thus, non-structural measures involve analysis, planning providing spatial information on maps with high accuracy in less time. Non-structural measures can help decision maker to plan an effective emergency response towards flood disaster. A one of the good way to plan non-structural measures is to analyze impact of flood in the flood prone areas. The thesis tries to analyze impact of flood on environment along the demarcated flood prone areas of Lake Roxen and Lake Glan in Östergötland County, Sweden. The thesis also proposes how to use current flood information during flood emergency utilizing geographical information system. This provides spatial information for area in the flood zone for assessment regarding flood vulnerability. Using map overlay analysis in GIS software (ArcGIS); flood prone areas and topographic data along Lake Roxen and Lake Glan were digitized from PDF maps. Thus, the thesis work is an effort to analyze impact of flood when areas along Lake Roxen and Lake Glan are flooded. ESRI® GIS software Arc Map 9 and Arc View 3.3 is used for data preparation, integrating, analyzing, and spatial data with attribute table information. Finally, to show GIS can be an effective tool for development of flood emergency system as a part of disaster preparedness by the decision makers.

[pt] Crimes na adolescência impõem custos não triviais para a sociedade, o que tornou seus determinantes e fatores dissuasivos cada vez mais sujeitos a estudo por economistas. Intervenções no nível da escola são comumente propostas com o objetivo de mitigar o surgimento de carreiras criminais e a perpetuação da violência. Entretanto, as direções e os canais pelos quais as escolas afetam crime podem variar. Esse artigo estuda um deles - os esfeitos de incapacitação - explorando um programa federal que aumentou as horas escolares em escolas públicas brasileiras. Usando variação quasiexperimental na probabilidade de aderir ao programa e dados georreferenciados de crime do estado de São Paulo, é possível estimar os feitos causais do programa em atividade criminal ao redor das escolas. Os resultados sugerem que incapacitação de fato previne jovens de cometerem crimes menos severos, com evidência mais forte para crimes relacionados a drogas e para escolas com alunos mais pobres. / [en] Juvenile crime imposes non-trivial costs to societies, which have made its determinants and deterrents increasingly subject of study by economists. School-based interventions are often proposed in order to mitigate the rise in criminal careers and the perpetuation of violence. However, the directions and channels through which schooling may affect crime vary. This paper studies one of them - namely the incapacitation effects - exploiting a federal program that extended school hours in Brazilian public schools. Using quasiexperimental variation in the probability of receiving the program and georeferenced crime data from the state of São Paulo, it is possible to estimate the causal effect of the program on criminal activity in the surroundings of the schools. Results suggest incapacitation does prevent juvelines from engaging in less offensive crimes, with stronger evidence for drug-related crimes and for schools with poorer students.

Gegenstand der Dissertation bildet eine echte Zeitreihenuntersuchung eines Tiefland-Buchenwaldes im nordostdeutschen Tiefland. Dieser Wald wurde Ende der 1920er Jahre aus der forstlichen Nutzung entlassen und entstand aus einem Anfang des 19. Jahrhunderts stockenden Eichenwald. Ende der 1950er bzw. der 1960er Jahre wurden drei kompakte Versuchsflächen zur Erfassung der Bestockungsstruktur in dem vorherrschenden Altbaum-Hallenstadium eingerichtet. Im Jahre 2012 gelang es diese alten Versuchsflächen zu identifizieren und einer Wiederholungsinventur zu unterziehen. Der Buchenwald hatte sich zwischenzeitlich erneuert und zu drei unterschiedlichen Tiefland-Buchenwaldökosystemen entwickelt. Als Voraussetzung für die Veränderungsanalyse der Bestockung und des Totholzes wurde eine georeferenzierte Arbeitsweise (EPSG Code 25833) gewählt. Dies ermöglichte die Nutzung des digitalen Geländemodells DGM 2m, historischer und aktueller Luftbilder und Laserdaten, und daraus abgeleiteter normalisierter Oberflächenmodelle zur Visualisierung der stattgefundenen Waldentwicklung. Aufbauend auf georeferenzierten standörtlich-vegetationskundlichen Untersuchungen konnten mittels geostatistischer und statistischer Verfahren die standörtlichen Ursachen für die natürliche Entwicklung der drei unterschiedlichen Buchen(misch)waldökosysteme herausgearbeitet werden. Eine populationsgenetische Inventur der Buchen, Winter- und Sommerlinden sowie eine lichtökologische Studie ergänzt die Untersuchung. / The subject of this dissertation is a real time series investigation of a lowland beech forest in the north-eastern lowlands of Germany. This forest was released from forestry at the end of the 1920s and emerged from an oak forest that had felled at the beginning of the 19th century. At the end of the 1950s and 1960s, three compact experimental areas were set up to record the stocking structure in the predominant old tree hall stage. In 2012, it was possible to identify these old experimental areas and to subject them to a repeat inventory. The beech forest had meanwhile been renewed and developed into three different lowland beech forest ecosystems. A georeferenced working method (EPSG Code 25833) was chosen as a prerequisite for the change analysis of the stocking and deadwood. This enabled the use of the digital terrain model DGM 2m, historical and current aerial photographs and laser data, and derived normalized surface models to visualize the forest development. Based on georeferenced site-vegetation investigations, geostatistical and statistical methods were used to identify the local causes for the natural development of the three different beech (mixed) forest ecosystems. A population genetic inventory of the beeches, winter and summer lime trees as well as a light-ecological study completed the investigation.