TY - JOUR A1 - Zimmermann, Alexander A1 - Voss, Sebastian A1 - Metzger, Johanna Clara A1 - Hildebrandt, Anke A1 - Zimmermann, Beate T1 - estimating mean throughfall JF - Journal of hydrology N2 - The selection of an appropriate spatial extent of a sampling plot is one among several important decisions involved in planning a throughfall sampling scheme. In fact, the choice of the extent may determine whether or not a study can adequately characterize the hydrological fluxes of the studied ecosystem. Previous attempts to optimize throughfall sampling schemes focused on the selection of an appropriate sample size, support, and sampling design, while comparatively little attention has been given to the role of the extent. In this contribution, we investigated the influence of the extent on the representativeness of mean throughfall estimates for three forest ecosystems of varying stand structure. Our study is based on virtual sampling of simulated throughfall fields. We derived these fields from throughfall data sampled in a simply structured forest (young tropical forest) and two heterogeneous forests (old tropical forest, unmanaged mixed European beech forest). We then sampled the simulated throughfall fields with three common extents and various sample sizes for a range of events and for accumulated data. Our findings suggest that the size of the study area should be carefully adapted to the complexity of the system under study and to the required temporal resolution of the throughfall data (i.e. event-based versus accumulated). Generally, event-based sampling in complex structured forests (conditions that favor comparatively long autocorrelations in throughfall) requires the largest extents. For event-based sampling, the choice of an appropriate extent can be as important as using an adequate sample size. (C) 2016 Elsevier B.V. All rights reserved. KW - Throughfall KW - Sampling KW - Extent KW - Hydrological monitoring KW - Tropical forest KW - European beech forest Y1 - 2016 U6 - https://doi.org/10.1016/j.jhydrol.2016.09.047 SN - 0022-1694 SN - 1879-2707 VL - 542 SP - 781 EP - 789 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Voss, Sebastian A1 - Zimmermann, Beate A1 - Zimmermann, Alexander T1 - Detecting spatial structures in throughfall data: The effect of extent, sample size, sampling design, and variogram estimation method JF - Journal of hydrology N2 - In the last decades, an increasing number of studies analyzed spatial patterns in throughfall by means of variograms. The estimation of the variogram from sample data requires an appropriate sampling scheme: most importantly, a large sample and a layout of sampling locations that often has to serve both variogram estimation and geostatistical prediction. While some recommendations on these aspects exist, they focus on Gaussian data and high ratios of the variogram range to the extent of the study area. However, many hydrological data, and throughfall data in particular, do not follow a Gaussian distribution. In this study, we examined the effect of extent, sample size, sampling design, and calculation method on variogram estimation of throughfall data. For our investigation, we first generated non Gaussian random fields based on throughfall data with large outliers. Subsequently, we sampled the fields with three extents (plots with edge lengths of 25 m, 50 m, and 100 m), four common sampling designs (two grid-based layouts, transect and random sampling) and five sample sizes (50, 100, 150, 200, 400). We then estimated the variogram parameters by method-of-moments (non-robust and robust estimators) and residual maximum likelihood. Our key findings are threefold. First, the choice of the extent has a substantial influence on the estimation of the variogram. A comparatively small ratio of the extent to the correlation length is beneficial for variogram estimation. Second, a combination of a minimum sample size of 150, a design that ensures the sampling of small distances and variogram estimation by residual maximum likelihood offers a good compromise between accuracy and efficiency. Third, studies relying on method-of-moments based variogram estimation may have to employ at least 200 sampling points for reliable variogram estimates. These suggested sample sizes exceed the number recommended by studies dealing with Gaussian data by up to 100 %. Given that most previous through fall studies relied on method-of-moments variogram estimation and sample sizes <<200, currently available data are prone to large uncertainties. (C) 2016 Elsevier B.V. All rights reserved. KW - Throughfall KW - Geostatistics KW - Sampling KW - variogram KW - Residual maximum likelihood Y1 - 2016 U6 - https://doi.org/10.1016/j.jhydrol.2016.06.042 SN - 0022-1694 SN - 1879-2707 VL - 540 SP - 527 EP - 537 PB - Elsevier CY - Amsterdam ER - TY - THES A1 - Schmider, Stephan T1 - Was ist HipHop? T1 - What is hip-hop? BT - Diskurse, Praktiken und genuine Eigenschaften eines Kulturphänomens BT - discourses, practices and genuine characteristics of a cultural phenomenon N2 - Es handelt sich bei der vorliegenden Dissertation um eine investigative Forschungsarbeit, die sich mit dem dynamisch wandelnden HipHop-Phänomen befasst. Der Autor erläutert hierbei die anhaltende Attraktivität des kulturellen Phänomens HipHop und versucht die Tatsache der stetigen Reproduzierbarkeit des HipHops genauer zu erklären. Daher beginnt er mit einer historischen Diskursanalyse der HipHop-Kultur. Er analysiert hierfür die Formen, die Protagonisten und die Diskurse des HipHops, um diesen besser verstehen zu können. Durch die Herausarbeitung der genuinen Eigenschaft der Mehrfachkodierbarkeit des HipHops werden gängige Erklärungsmuster aus Wissenschaft und Medien relativiert und kritisiert. Der Autor kombiniert in seiner Studie kultur- und erziehungswissenschaftliche Literatur mit diversen aktuellen und historischen Darstellungen und Bildern. Es werden vor allem bildbasierte Selbstinszenierungen von HipHoppern und Selbstzeugnisse aus narrativen Interviews, die er selbst mit verschiedenen HipHoppern in Deutschland geführt hat, ausgewertet. Neben den narrativen Interviews dient vor allem die Bildinterpretation nach Bohnsack als Quelle zur Bildung der These der Mehrfachkodierbarkeit. Hierbei werden zwei Bilder der HipHopper Lady Bitch Ray und Kollegah nach Bohnsack (2014) interpretiert und gezeigt wie HipHop neben der lyrischen und der klanglichen Komponente auch visuell inszeniert und produziert wird. Hieraus wird geschlussfolgert, dass es im HipHop möglich ist konträre Sichtweisen bei gleichzeitiger Anwendung von typischen Kulturpraktiken wie zum Beispiel dem Boasting darzustellen und zu vermitteln. Die stetige Offenheit des HipHops wird durch Praktiken wie dem Sampling oder dem Battle deutlich und der Autor erklärt, dass durch diese Techniken die generative Eigenschaft der Mehrfachkodierbarkeit hergestellt wird. Damit vertritt er eine Art Baukasten-Theorie, die besagt, dass sich prinzipiell jeder aus dem Baukasten HipHop, je nach Vorliebe, Interesse und Affinität, bedienen kann. Durch die Vielfalt an Meinungen zu HipHop, die der Autor durch die Kodierung der geführten narrativen Interviews erhält, wird diese These verdeutlicht und es wird klar, dass es sich bei HipHop um mehr als nur eine Mode handelt. HipHop besitzt die prinzipielle Möglichkeit durch die Offenheit, die er in sich trägt, sich stetig neu zu wandeln und damit an Beliebtheit und Popularität zuzunehmen. Die vorliegende Arbeit erweitert damit die immer größer werdende Forschung in den HipHop-Studies und setzt wichtige Akzente um weiter zu forschen und HipHop besser verständlich zu machen. N2 - The described dissertation is an investigative research paper, covering the dynamic and ever-changing phenomena of hip-hop. The author will explain the continued attraction drawn by the hip-hop culture and will attempt to explain its’ reproduceable impact in more detail. To achieve this, he starts with a historic discourse analysis of the hip-hop culture. In order to give a greater understanding of the subject he analyses the different forms, protagonists as well as the dialogue of hip-hop. The author will show that hip-hop has multi-layered characteristics and through elaboration using scientific tools and media sources he will further qualify and criticize the subject. The research combines cultural and educational science literature with different time-relevant and historic presentations alongside graphic images. Especially self-staged photos of rap artists and personal testimonials from interviews, which the author personally conducted, with a variety of artists throughout Germany, will be analysed. Besides the accounts reflected in the interviews a large emphasis has been focused on imagery interpretation in line with Bohnsack, which will serve as the source to the multi-layering thesis. In this connection two images of artists Lady Bitch Ray and Kollegah are interpreted according to Bohnsack (2014), to show that hip-hop does not only have a lyrical and musical component to it but is also visually staged and produced. This research work will conclude that it is possible in hip-hop culture to present contrasting viewpoints through the use of cultural traditions, such as ‘boasting’. The ongoing open-mindedness of hip-hop will become clear through the analysis of ‘sampling’ and the ‘rap battle’, the author will proof how such traditional techniques create multi-layered hip-hop characteristics. With this conclusion he supports a type of modular theory, stating that principally anybody can take advantage of what hip-hop as to offer, regardless of their preferences, interests, or affections. Through the diversity of opinions in hip-hop culture, which the author is presented with through the interpretation of the interviews, his proposition becomes clear and he is able to conclude that the phenomenon of hip-hop is more than just a temporary fad. Hip-hop has the fundamental potential to continuously change, and through its open-mindedness manages to keep increasing its’ popularity and demand over time. This research paper builds on the continuous interest into the research of hip-hop culture and asks important questions, which validates further research into the topic and aims to make hip-hop more accessible. KW - HipHop KW - Kultur KW - Kulturwissenschaft KW - Gangsta-Rap KW - Authentizität KW - Kollegah KW - Lady Bitch Ray KW - Struggle KW - Battle KW - Rap KW - Musik KW - Jugendkultur KW - Sampling KW - Beat KW - Politik KW - Migrantenkultur KW - HipHop KW - cultural studies KW - Rap KW - Music KW - Sample KW - Track KW - Battle KW - Lady Bitch Ray KW - Kollegah KW - dynamic KW - discourse KW - diversity KW - multi-layered Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-523759 ER - TY - JOUR A1 - Molkenthin, Christian A1 - Donner, Christian A1 - Reich, Sebastian A1 - Zöller, Gert A1 - Hainzl, Sebastian A1 - Holschneider, Matthias A1 - Opper, Manfred T1 - GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model JF - Statistics and Computing N2 - The spatio-temporal epidemic type aftershock sequence (ETAS) model is widely used to describe the self-exciting nature of earthquake occurrences. While traditional inference methods provide only point estimates of the model parameters, we aim at a fully Bayesian treatment of model inference, allowing naturally to incorporate prior knowledge and uncertainty quantification of the resulting estimates. Therefore, we introduce a highly flexible, non-parametric representation for the spatially varying ETAS background intensity through a Gaussian process (GP) prior. Combined with classical triggering functions this results in a new model formulation, namely the GP-ETAS model. We enable tractable and efficient Gibbs sampling by deriving an augmented form of the GP-ETAS inference problem. This novel sampling approach allows us to assess the posterior model variables conditioned on observed earthquake catalogues, i.e., the spatial background intensity and the parameters of the triggering function. Empirical results on two synthetic data sets indicate that GP-ETAS outperforms standard models and thus demonstrate the predictive power for observed earthquake catalogues including uncertainty quantification for the estimated parameters. Finally, a case study for the l'Aquila region, Italy, with the devastating event on 6 April 2009, is presented. KW - Self-exciting point process KW - Hawkes process KW - Spatio-temporal ETAS model KW - Bayesian inference KW - Sampling KW - Earthquake modeling KW - Gaussian process KW - Data augmentation Y1 - 2022 U6 - https://doi.org/10.1007/s11222-022-10085-3 SN - 0960-3174 SN - 1573-1375 VL - 32 IS - 2 PB - Springer CY - Dordrecht ER -