@book{Salm2006,
  author    = {Salm, Volker},
  title     = {Einzelhandelsgeographische Beratungsleistungen - Evaluation ihrer Verwendung in der kommunalen Einzelhandelsentwicklung},
  publisher = {L.I.S. Verlag},
  address   = {Passau},
  isbn      = {3-932820-31-2},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-180084},
  publisher      = {Universit{\"a}t W{\"u}rzburg},
  pages     = {199},
  year      = {2006},
  abstract  = {Das Gesch{\"a}ft der Besserwisser boomt. Nur wenige politische oder unternehmerische Entscheidungen werden heute noch ohne den Verweis auf wissenschaftliche Untersuchungen oder die Empfehlungen renommierter Beratungsunternehmen getroffen. Keine Ausnahme macht da die kommunale Einzelhandelsentwicklung, die seit Jahren in der Stadtplanung und Kommunalpolitik f{\"u}r Konflikte sorgt - ein weites Feld f{\"u}r Gutachter und Berater aus den unterschiedlichen Lagern. Allerdings haben nicht selten Einzelhandelsgutachten und -konzepte einen eher bescheidenen Ruf, der sich auf erkannte Defizite in der Umsetzung des Expertenrates gr{\"u}ndet. Doch was veranlasst die Auftraggeber dazu, immer neue Untersuchungen in Auftrag zu geben? Wann genau und unter welchen Voraussetzungen kann eine Beratung erfolgreich sein und zu tats{\"a}chlichen Ver{\"a}nderungen f{\"u}hren? In Verbindung von akademischer Grundlagenforschung und einer mehrj{\"a}hrigen T{\"a}tigkeit als Berater und Gutachter gew{\"a}hrt der Autor einen Blick hinter die Kulissen kommunalpolitischer und privatwirtschaftlicher Entscheidungen: einen Blick auf die verborgenen Ziele und Strategien der Schl{\"u}sselakteure und deren Kampf um Macht, Ressourcen und Besitzst{\"a}nde. Hinweise zu den m{\"o}glichen Perspektiven einer einzelhandelsbezogenen Kommunalberatung erg{\"a}nzen die Betrachtungen. Die vorliegende Arbeit wurde 2005 von der Ludwig-Maximilians-Universit{\"a}t M{\"u}nchen als Dissertation angenommen.},
  subject      = {Gemeinde},
  language  = {de}
}
@book{OPUS4-18040,
  title     = {Analysemethodik und Modellierung in der geographischen Handelsforschung},
  editor    = {Klein, Ralf and Rauh, J{\"u}rgen},
  publisher = {L.I.S. Verlag},
  address   = {Passau},
  isbn      = {978-3-932820-32-8},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-180402},
  publisher      = {Universit{\"a}t W{\"u}rzburg},
  pages     = {153},
  year      = {2007},
  abstract  = {Methoden und Techniken sind in der geographischen Handelsforschung gleichermaßen in der Grundlagenforschung, in der universit{\"a}renAusbildung, in der praktischen Anwendung und der Fortbildung von hoher Bedeutung. Der vorliegende Band vertieft einige bekannte methodische Aspekte, setzt aber auch neue Akzente hinsichtlich Analysemethodik und Modellierung. Die Beitr{\"a}ge in dem vorliegenden Band zeigen weitergehende M{\"o}glichkeiten auf, in der geographischen Handelsforschung und insbesondere der Praxis bedeutsame Fragestellungen methodisch fassen und behandeln zu k{\"o}nnen. Die Reihenfolge der Beitr{\"a}ge ist thematisch gegliedert. Die Thematik wird zun{\"a}chst eher allgemein orientiert vorgestellt und dann mittels einer bestimmten Fragestellung oder Untersuchung konkretisiert. So wird der umfassende Beitrag von K. E. Klein zum Einsatz geographischer Informationssysteme im Einzelhandel durch die Studie von J. Scharfenberger zu mikrogeographischen Routing- und Marktpotenzialanalysen erg{\"a}nzt. Die Modellierung und Prognose von Marktgebieten im Einzelhandel wird von R. Klein zun{\"a}chst allgemein diskutiert und durch die Untersuchungen von C. Kanh{\"a}usser vertieft. Die Beitr{\"a}ge von R. Hesse / A. Schmid sowie J. Rauh / T. Schenk / M. Fehler / F. Kl{\"u}gl / F. Puppe zeigen mit Simulationsmodellen und der r{\"a}umlichen Optimierung neue methodische Anwendungsm{\"o}glichkeiten auf, die geeignet sind, die in der Regel vorhandene Trennung zwischen der individualistischen und der strukturellen Perspektive aufzul{\"o}sen. Erstgenannte wird in der Regel z.B. bei der Untersuchung des Konsumentenverhaltens eingenommen, die Letztgenannte bei der (Standort-)Analyse der Angebotsseite.},
  subject      = {Handelsforschung},
  language  = {de}
}
@article{AtaeeMaghsoudiLatifietal.2019,
  author    = {Ataee, Mohammad Sadegh and Maghsoudi, Yasser and Latifi, Hooman and Fadaie, Farhad},
  title     = {Improving estimation accuracy of growing stock by multi-frequency SAR and multi-spectral data over Iran's heterogeneously-structured broadleaf Hyrcanian forests},
  series = {Forests},
  volume    = {10},
  journal   = {Forests},
  number    = {8},
  issn      = {1999-4907},
  doi       = {10.3390/f10080641},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-197212},
  year      = {2019},
  abstract  = {Via providing various ecosystem services, the old-growth Hyrcanian forests play a crucial role in the environment and anthropogenic aspects of Iran and beyond. The amount of growing stock volume (GSV) is a forest biophysical parameter with great importance in issues like economy, environmental protection, and adaptation to climate change. Thus, accurate and unbiased estimation of GSV is also crucial to be pursued across the Hyrcanian. Our goal was to investigate the potential of ALOS-2 and Sentinel-1's polarimetric features in combination with Sentinel-2 multi-spectral features for the GSV estimation in a portion of heterogeneously-structured and mountainous Hyrcanian forests. We used five different kernels by the support vector regression (nu-SVR) for the GSV estimation. Because each kernel differently models the parameters, we separately selected features for each kernel by a binary genetic algorithm (GA). We simultaneously optimized R\(^2\) and RMSE in a suggested GA fitness function. We calculated R\(^2\), RMSE to evaluate the models. We additionally calculated the standard deviation of validation metrics to estimate the model's stability. Also for models over-fitting or under-fitting analysis, we used mean difference (MD) index. The results suggested the use of polynomial kernel as the final model. Despite multiple methodical challenges raised from the composition and structure of the study site, we conclude that the combined use of polarimetric features (both dual and full) with spectral bands and indices can improve the GSV estimation over mixed broadleaf forests. This was partially supported by the use of proposed evaluation criterion within the GA, which helped to avoid the curse of dimensionality for the applied SVR and lowest over estimation or under estimation.},
  language  = {en}
}
@article{MayrKuenzerGessneretal.2019,
  author    = {Mayr, Stefan and Kuenzer, Claudia and Gessner, Ursula and Klein, Igor and Rutzinger, Martin},
  title     = {Validation of earth observation time-series: a review for large-area and temporally dense land surface products},
  series = {Remote Sensing},
  volume    = {11},
  journal   = {Remote Sensing},
  number    = {22},
  issn      = {2072-4292},
  doi       = {10.3390/rs11222616},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-193202},
  year      = {2019},
  abstract  = {Large-area remote sensing time-series offer unique features for the extensive investigation of our environment. Since various error sources in the acquisition chain of datasets exist, only properly validated results can be of value for research and downstream decision processes. This review presents an overview of validation approaches concerning temporally dense time-series of land surface geo-information products that cover the continental to global scale. Categorization according to utilized validation data revealed that product intercomparisons and comparison to reference data are the conventional validation methods. The reviewed studies are mainly based on optical sensors and orientated towards global coverage, with vegetation-related variables as the focus. Trends indicate an increase in remote sensing-based studies that feature long-term datasets of land surface variables. The hereby corresponding validation efforts show only minor methodological diversification in the past two decades. To sustain comprehensive and standardized validation efforts, the provision of spatiotemporally dense validation data in order to estimate actual differences between measurement and the true state has to be maintained. The promotion of novel approaches can, on the other hand, prove beneficial for various downstream applications, although typically only theoretical uncertainties are provided.},
  language  = {en}
}
@article{AbdullahiWesselHuberetal.2019,
  author    = {Abdullahi, Sahra and Wessel, Birgit and Huber, Martin and Wendleder, Anna and Roth, Achim and Kuenzer, Claudia},
  title     = {Estimating penetration-related X-band InSAR elevation bias: a study over the Greenland ice sheet},
  series = {Remote Sensing},
  volume    = {11},
  journal   = {Remote Sensing},
  number    = {24},
  issn      = {2072-4292},
  doi       = {10.3390/rs11242903},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-193902},
  year      = {2019},
  abstract  = {Accelerating melt on the Greenland ice sheet leads to dramatic changes at a global scale. Especially in the last decades, not only the monitoring, but also the quantification of these changes has gained considerably in importance. In this context, Interferometric Synthetic Aperture Radar (InSAR) systems complement existing data sources by their capability to acquire 3D information at high spatial resolution over large areas independent of weather conditions and illumination. However, penetration of the SAR signals into the snow and ice surface leads to a bias in measured height, which has to be corrected to obtain accurate elevation data. Therefore, this study purposes an easy transferable pixel-based approach for X-band penetration-related elevation bias estimation based on single-pass interferometric coherence and backscatter intensity which was performed at two test sites on the Northern Greenland ice sheet. In particular, the penetration bias was estimated using a multiple linear regression model based on TanDEM-X InSAR data and IceBridge laser-altimeter measurements to correct TanDEM-X Digital Elevation Model (DEM) scenes. Validation efforts yielded good agreement between observations and estimations with a coefficient of determination of R\(^2\) = 68\% and an RMSE of 0.68 m. Furthermore, the study demonstrates the benefits of X-band penetration bias estimation within the application context of ice sheet elevation change detection.},
  language  = {en}
}
@incollection{Appel2016,
  author    = {Appel, Alexandra},
  title     = {Multi-Channel-Einzelhandel und Embeddedness - das Beispiel Migros Sanal Market in der T{\"u}rkei},
  series = {Online-Handel ist Wandel},
  booktitle = {Online-Handel ist Wandel},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-182662},
  publisher      = {Universit{\"a}t W{\"u}rzburg},
  pages     = {157-178},
  year      = {2016},
  abstract  = {No abstract available.},
  language  = {de}
}
@incollection{Wotruba2011,
  author    = {Wotruba, Markus},
  title     = {Die Lebensmittel-Discounter erreichen die Reifephase. Folgt eine weitere Ausdifferenzierung?},
  series = {Discounterwelten},
  booktitle = {Discounterwelten},
  publisher = {L.I.S.-Verlag},
  address   = {Passau},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-182643},
  publisher      = {Universit{\"a}t W{\"u}rzburg},
  pages     = {121-131},
  year      = {2011},
  abstract  = {No abstract available.},
  subject      = {Einzelhandel},
  language  = {de}
}
@article{TrappeKneisel2019,
  author    = {Trappe, Julian and Kneisel, Christof},
  title     = {Geophysical and sedimentological investigations of Peatlands for the assessment of lithology and subsurface water pathways},
  series = {Geosciences},
  volume    = {9},
  journal   = {Geosciences},
  number    = {3},
  doi       = {10.3390/geosciences9030118},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-201699},
  pages     = {118},
  year      = {2019},
  abstract  = {Peatlands located on slopes (herein called slope bogs) are typical landscape units in the Hunsrueck, a low mountain range in Southwestern Germany. The pathways of the water feeding the slope bogs have not yet been documented and analyzed. The identification of the different mechanisms allowing these peatlands to originate and survive requires a better understanding of the subsurface lithology and hydrogeology. Hence, we applied a multi-method approach to two case study sites in order to characterize the subsurface lithology and to image the variable spatio-temporal hydrological conditions. The combination of Electrical Resistivity Tomography (ERT) and an ERT-Monitoring and Ground Penetrating Radar (GPR), in conjunction with direct methods and data (borehole drilling and meteorological data), allowed us to gain deeper insights into the subsurface characteristics and dynamics of the peatlands and their catchment area. The precipitation influences the hydrology of the peatlands as well as the interflow in the subsurface. Especially, the geoelectrical monitoring data, in combination with the precipitation and temperature data, indicate that there are several forces driving the hydrology and hydrogeology of the peatlands. While the water content of the uppermost layers changes with the weather conditions, the bottom layer seems to be more stable and changes to a lesser extent. At the selected case study sites, small differences in subsurface properties can have a huge impact on the subsurface hydrogeology and the water paths. Based on the collected data, conceptual models have been deduced for the two case study sites.},
  language  = {en}
}
@phdthesis{Hu2020,
  author    = {Hu, Zhongyang},
  title     = {Earth Observation for the Assessment of Long-Term Snow Dynamics in European Mountains - Analysing 35-Year Snowline Dynamics in Europe Based on High Resolution Earth Observation Data between 1984 and 2018},
  doi       = {10.25972/OPUS-20044},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-200441},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {Worldwide, cold regions are undergoing significant alterations due to climate change. Snow, the most widely distributed cold region component, is highly sensitive to climate change. At the same time, snow itself profoundly impacts the Earth's energy budget, biodiversity, and natural hazards, as well as hydropower management, freshwater management, and winter tourism/sports. Large parts of the cold regions in Europe are mountain areas, which are densely populated because of the various ecosystem services and socioeconomic well-being in mountains. At present, severe consequences caused by climate change have been observed in European mountains and their surrounding areas. Yet, large knowledge gaps hinder the development of effective regional and local adaptation strategies. Long-term and evidence-based regional studies are urgently needed to enhance the comprehension of regional responses to climate change. Earth Observation (EO) provides long-term consistent records of the Earth's surface. It is a great alternative and/or supplement to conventional in-situ measurements which are usually time-consuming, cost-intensive and logistically demanding, particularly for the poor accessibility of cold regions. With the assistance of EO, land surface dynamics in cold regions can be observed in an objective, repeated, synoptic and consistent way. Thanks to free and open data policies, long-term archives such as Landsat Archive and Sentinel Archive can be accessed free-of-charge. The high- to medium-resolution remote sensing imagery from these freely accessible archives gives EO-based time series datasets the capability to depict snow dynamics in European mountains from the 1980s to the present. In order to compile such a dataset, it is necessary to investigate the spatiotemporal availability of EO data, and develop a spatiotemporally transferable framework from which one can investigate snow dynamics. Among the available EO image archives, the Landsat Archive has the longest uninterrupted records of the Earth's land surface. Furthermore, its 30 m spatial resolution fulfils the requirements for snow monitoring in complex terrains. Landsat data can yield a time series of snow dynamics in mountainous areas from 1984 to the present. However, severe Landsat data gaps have occurred across certain regions of Europe. Moreover, the Landsat Level 1 Precision and Terrain (L1TP) data is scarcer (up to 50\% less) in high-latitude mountainous areas than in low-latitude mountainous areas. Given the abovementioned facts, the Regional Snowline Elevation (RSE) is selected to characterize the snow dynamics in mountainous areas, as it can handle cloud obstructions in the optical images. In this thesis, I present a five-step framework to derive and densify RSE time series in European mountains, i.e. (1) pre-processing, (2) snow detection, (3) RSE retrieval, (4) time series densification, and (5) Regional Snowline Retreat Curve (RSRC) production. The results of the intra-annual RSE variations show a uniquely high variation in the beginning of the ablation seasons in the Alpine catchment Tagliamento, mainly toward higher elevation. As for inter-annual variations of RSE, median RSE increases in all selected catchments, with an average speed of around 4.66 m ∙ a-1 (median) and 5.87 m ∙ a-1 (at the beginning of the ablation season). The fastest significant retreat is observed in the catchment Drac (10.66 m ∙ a-1, at the beginning of the ablation season), and the slowest significant retreat is observed in the catchment Uzh (1.74 m ∙ a-1, at the beginning of the ablation season). The increase of RSEs at the beginning of the ablation season is faster than the median RSEs, whose average difference is nearly 1.21 m ∙ a-1, particularly in the catchment Drac (3.72 m ∙ a-1). The results of the RSRCs show a significant rise in RSEs at the beginning of the ablation season, except for the Alpine catchment Alpenrhein and Var, and the Pyrenean catchment Ariege. It indicates that 11.8 and 3.97 degrees Celsius less per year are needed for the regional snowlines to reach the middle point of the RSRC in the Tagliamento and Tysa, respectively. The variation of air temperature is regarded as an example of a potential climate driver in this thesis. The retrieved monthly mean RSEs are highly correlated (mean correlation coefficient "R" ̅ = 0.7) with the monthly temperature anomalies, which are more significant in months with extremely low/high temperature. Another case study that investigates the correlation between river discharges and RSEs is carried out to demonstrate the potential consequences of the derived snowline dynamics. The correlation analysis shows a good correlation between river discharges and RSEs (correlation coefficient, R=0.52). In this thesis, the developed framework signifies a better understanding of the snow dynamics in mountain areas, as well as their potential triggers and consequences. Nonetheless, an urgent need persists for: (1) validation data to assess long-term snow-related observations based on high-resolution EO data; (2) further studies to reveal interactions between snow and its ambient environment; and (3) regional and local adaptation-strategies coping with climate change. Further studies exploring the above-mentioned research gaps are urgently needed in the future.},
  subject      = {Fernerkundung},
  language  = {en}
}
@techreport{ConradMorperBuschNetzbandetal.2019,
  type      = {Working Paper},
  author    = {Conrad, Christopher and Morper-Busch, Lucia and Netzband, Maik and Teucher, Mike and Sch{\"o}nbrodt-Stitt, Sarah and Schorcht, Gunther and Dukhovny, Viktor},
  title     = {Инструмент для выработки обоснованных решений в вопросах земле- и водопользования},
  doi       = {10.25972/OPUS-19200},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-192006},
  pages     = {12},
  year      = {2019},
  abstract  = {WUEMoCA — научный инструмент веб-кар¬тографирования для мониторинга эф¬фек¬тивности земле- и водопользования на территориях орошаемого земледелия стран трансграничного бассейна Араль¬ского моря (Казахстана, Кыргызстана, Таджикистана, Туркменистана, Узбеки¬стана и Афганистана). Путём интеграции спутниковых данных по землепользованию, растениеводству и потреблению воды с гидрологическими и экономическими данными создаётся целый набор показателей. Инструмент полезен для выработки масштабных решений в вопросах распределения воды и землепользования, а также может применяться во многих практических сферах, в которых требуются независимые данные о конкретных обширных территориях.},
  language  = {ru}
}
@book{OPUS4-17123,
  title     = {Die Analyse von Standorten und Einzugsbereichen - Methodische Grundfragen der geographischen Handelsforschung},
  editor    = {Heinritz, G{\"u}nter},
  publisher = {L.I.S. Verlag},
  address   = {Passau},
  isbn      = {3-932820-12-6},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-171231},
  publisher      = {Universit{\"a}t W{\"u}rzburg},
  pages     = {133},
  year      = {1999},
  abstract  = {Drei Dinge sind es, die den Erfolg eines Einzelhandelsbetriebes bestimmen: 1. Der Standort, 2. Der Standort und 3. Der Standort - dieses Bonmot kennt jeder, der beruflich mit dem Einzelhandel zu tun hat. Was aber einen guten Standort ausmacht, wie man ihn findet und ihn bei Kr{\"a}ften h{\"a}lt - das ist nicht so klar. Das Buch m{\"o}chte hier ein wenig Licht ins Dunkel bringen und diskutiert deshalb in vier Beitr{\"a}gen die theoretischen Grundlagen und praktischen Probleme von klassischen und modernen Methoden der Standortplanung, Standortbewertung und Einzugsbereichsmessung. Der Band richtig sich nicht nur an Standortplaner von Einzelhandelsunternehmen, die hier ein n{\"u}tzliches Kompendium f{\"u}r die t{\"a}gliche Arbeit erhalten, sondern auch an Planer und Politiker, die {\"u}ber die Ansiedlung von Einzelhandels(-groß)betrieben zu entscheiden haben, und f{\"u}r die es oft von entscheidender Bedeutung ist zu wissen, wie ein neuer Standort in bestehenden Strukturen eingreift. Alle Autoren verf{\"u}gen {\"u}ber langj{\"a}hrigen Erfahrung mit den im Buch behandelten Methoden - sowohl aus der Perspektive der akademischen Grundlangeforschung als auch aus der Perspektive der Auftragsforschung f{\"u}r Unternehmen und Kommunen. Dies b{\"u}rgt f{\"u}r eine kenntnisreiche Verbindung von Wissenschaft und Praxis und macht das Buch auch f{\"u}r Studierende der Geographie und der Betriebswirtschaft interessant, die sich w{\"a}hrend des Studiums mit dem Einzelhandel besch{\"a}ftigen oder eine berufliche Laufbahn in diesem Sektor anstreben.},
  subject      = {Einzelhandel},
  language  = {de}
}
@book{OPUS4-17137,
  title     = {Stadtteilzentren, Ladenzeilen, Ausfallstraßen - Berichte aus den vernachl{\"a}ssigten Gesch{\"a}ftslagen der St{\"a}dte},
  editor    = {Heinritz, G{\"u}nter and Schr{\"o}der, Frank},
  publisher = {L.I.S. Verlag},
  address   = {Passau},
  isbn      = {3-932820-17-7},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-171371},
  publisher      = {Universit{\"a}t W{\"u}rzburg},
  pages     = {129},
  year      = {2000},
  abstract  = {Sie sind wahrhaftig vernachl{\"a}ssigt, die Stadtteilzentren, Ladenzeilen, Ausfallstraßen; die Viertelzentren und Dorfkerne - eben all jene Gesch{\"a}ftslagen, die wir in unseren großen St{\"a}dten irgendwo zwischen den Fußg{\"a}ngerbereichen der Cities und den Fachmarkagglomerationen entlang der Autobahnen finden. Nicht nur den Konsumenten, den Einzelhandelsunternehmen und der Stadtplanung fehlt es manchmal an Aufmerksamkeit f{\"u}r diese Gesch{\"a}ftslagen - nein, auch und vor allem der geographischen Handelsforschung: Man kann schwerlich {\"u}bersehen, dass die Diskussion um den Konflikt zwischen „Innenstadt" einerseits und „gr{\"u}ner Wiese" andererseits, die seit mehr als zwanzig Jahren gef{\"u}hrt wird, wenig Raum gelassen hat f{\"u}r eine wissenschaftliche Auseinandersetzung mit jenem Einzelhandel, der weder in der „Innenstadt" noch auf der „gr{\"u}nen Wiese" betrieben wird. Dieser Band versammelt deshalb zum ersten Mal Studien, die sich ausschließlich und engagiert mit den verschiedenen Typen vernachl{\"a}ssigter Gesch{\"a}ftslagen besch{\"a}ftigen. Neben reichen empirischen Befunden aus St{\"a}dten unterschiedlicher Gr{\"o}ße (von Bonn bis Wien) findet der Leser in diesem Band theoretische und methodische Konzepte, die zur Erforschung der speziellen Probleme vernachl{\"a}ssigter Gesch{\"a}ftslagen geeignet sind. So entsteht eine wichtige Grundlage f{\"u}r den dringend notwendigen Ausbau dieser Forschungsrichtung und eine n{\"u}tzliche Arbeitshilfe f{\"u}r Stadtplaner und Standortgutachter.},
  subject      = {Laden},
  language  = {de}
}
@article{Schamel2015,
  author    = {Schamel, Johannes},
  title     = {Ableitung von Pr{\"a}ferenzen aus GPS-Trajektorien bei landschaftsbezogenen Erholungsaktivit{\"a}ten},
  series = {AGIT - Journal f{\"u}r Angewandte Geoinformatik},
  volume    = {2015},
  journal   = {AGIT - Journal f{\"u}r Angewandte Geoinformatik},
  number    = {1},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-153590},
  pages     = {9},
  year      = {2015},
  abstract  = {No abstract available.},
  language  = {de}
}
@phdthesis{Ring2018,
  author    = {Ring, Christoph},
  title     = {Entwicklung und Vergleich von Gewichtungsmetriken zur Analyse probabilistischer Klimaprojektionen aktueller Modellensembles},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-157294},
  school      = {Universit{\"a}t W{\"u}rzburg},
  pages     = {XII, 195},
  year      = {2018},
  abstract  = {Der anthropogene Klimawandel ist eine der gr{\"o}ßten Herausforderungen des 21. Jahrhunderts. Eine Hauptschwierigkeit liegt dabei in der Unsicherheit bez{\"u}glich der regionalen {\"A}nderung von Niederschlag und Temperatur. Hierdurch wird die Entwicklung geeigneter Anpassungsstrategien deutlich erschwert. In der vorliegenden Arbeit werden vier Evaluationsans{\"a}tze mit insgesamt 13 Metriken f{\"u}r aktuelle globale (zwei Generationen) und regionale Klimamodelle entwickelt und verglichen, um anschließend eine Analyse der Projektionsunsicherheit vorzunehmen. Basierend auf den erstellten Modellbewertungen werden durch Gewichtung Aussagen {\"u}ber den Unsicherheitsbereich des zuk{\"u}nftigen Klimas getroffen. Die Evaluation der Modelle wird im Mittelmeerraum sowie in acht Unterregionen durchgef{\"u}hrt. Dabei wird der saisonale Trend von Temperatur und Niederschlag im Evaluationszeitraum 1960-2009 ausgewertet. Zus{\"a}tzlich wird f{\"u}r bestimmte Metriken jeweils das klimatologische Mittel oder die harmonischen Zeitreiheneigenschaften evaluiert. Abschließend werden zum Test der {\"U}bertragbarkeit der Ergebnisse neben den Hauptuntersuchungsgebieten sechs global verteilte Regionen untersucht. Außerdem wird die zeitliche Konsistenz durch Analyse eines zweiten, leicht versetzten Evaluationszeitraums behandelt, sowie die Abh{\"a}ngigkeit der Modellbewertungen von verschiedenen Referenzdaten mit Hilfe von insgesamt drei Referenzdatens{\"a}tzen untersucht. Die Ergebnisse legen nahe, dass nahezu alle Metriken zur Modellevaluierung geeignet sind. Die Auswertung unterschiedlicher Variablen und Regionen erzeugt Modellbewertungen, die sich in den Kontext aktueller Forschungsergebnisse einf{\"u}gen. So wurde die Leistung der globalen Klimamodelle der neusten Generation (2013) im Vergleich zur Vorg{\"a}ngergeneration (2007) im Schnitt {\"a}hnlich hoch bzw. in vielen Situationen auch st{\"a}rker eingeordnet. Ein durchweg bestes Modell konnte nicht festgestellt werden. Der Großteil der entwickelten Metriken zeigt f{\"u}r {\"a}hnliche Situationen {\"u}bereinstimmende Modellbewertungen. Bei der Gewichtung hat sich der Niederschlag als besonders geeignet herausgestellt. Grund hierf{\"u}r sind die im Schnitt deutlichen Unterschiede der Modellleistungen in Zusammenhang mit einer geringeren Simulationsg{\"u}te. Umgekehrt zeigen die Metriken f{\"u}r die Modelle der Temperatur allgemein {\"u}berwiegend hohe Evaluationsergebnisse, wodurch nur wenig Informationsgewinn durch Gewichtung erreicht werden kann. W{\"a}hrend die Metriken gut f{\"u}r unterschiedliche Regionen und Skalenniveaus verwendet werden Evaluationszeitr{\"a}ume nicht grunds{\"a}tzlich gegeben. Zus{\"a}tzlich zeigen die Modellranglisten unterschiedlicher Regionen und Jahreszeiten h{\"a}ufig nur geringe Korrelationen. Dies gilt besonders f{\"u}r den Niederschlag. Bei der Temperatur sind hingegen leichte {\"U}bereinstimmungen auszumachen. Beim Vergleich der mittleren Ranglisten {\"u}ber alle Modellbewertungen und Situationen der Hauptregionen des Mittelmeerraums mit den Globalregionen besteht eine signifikante Korrelation von 0,39 f{\"u}r Temperatur, w{\"a}hrend sie f{\"u}r Niederschlag um null liegt. Dieses Ergebnis ist f{\"u}r alle drei verwendeten Referenzdatens{\"a}tze im Mittelmeerraum g{\"u}ltig. So schwankt die Korrelation der Modellbewertungen des Niederschlags f{\"u}r unterschiedliche Referenzdatens{\"a}tze immer um Null und die der Temperaturranglisten zwischen 0,36 und 0,44. Generell werden die Metriken als geeignete Evaluationswerkzeuge f{\"u}r Klimamodelle eingestuft. Daher k{\"o}nnen sie einen Beitrag zur {\"A}nderung des Unsicherheitsbereichs und damit zur St{\"a}rkung des Vertrauens in Klimaprojektionen leisten. Die Abh{\"a}ngigkeit der Modellbewertungen von Region und Untersuchungszeitraum muss dabei jedoch ber{\"u}cksichtigt werden. So besitzt die Analyse der Konsistenz von Modellbewertungen sowie der St{\"a}rken und Schw{\"a}chen der Klimamodelle großes Potential f{\"u}r folgende Studien, um das Vertrauen in Modellprojektionen weiter zu steigern.},
  subject      = {Anthropogene Klima{\"a}nderung},
  language  = {de}
}
@phdthesis{Wohlfart2018,
  author    = {Wohlfart, Christian},
  title     = {The Yellow River Basin in Transition - Multi-faceted Land Cover Change Analysis in the Yellow River Basin in the Context of Global Change Using Multi-sensor Remote Sensing Imagery},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-163724},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2018},
  abstract  = {As a cradle of ancient Chinese civilization, the Yellow River Basin has a very long human-environment interrelationship, where early anthropogenic activities re- sulted in large scale landscape modifications. Today, the impact of this relationship has intensified further as the basin plays a vital role for China's continued economic development. It is one of the most densely-populated, fastest growing, and most dynamic regions of China with abundant natural and environmental resources providing a livelihood for almost 190 million people. Triggered by fundamental economic reforms, the basin has witnessed a spectacular economic boom during the last decades and can be considered as an exemplary blueprint region for contemporary dynamic Global Change processes occurring throughout the country, which is currently transitioning from an agrarian-dominated economy into a modern urbanized society. However, this resourcesdemanding growth has led to profound land use changes with adverse effects on the Yellow River social-ecological systems, where complex challenges arise threatening a long-term sustainable development. Consistent and continuous remote sensing-based monitoring of recent and past land cover and land use change is a fundamental requirement to mitigate the adverse impacts of Global Change processes. Nowadays, technical advancement and the multitude of available satellite sensors, in combination with the opening of data archives, allow the creation of new research perspectives in regional land cover applications over heterogeneous landscapes at large spatial scales. Despite the urgent need to better understand the prevailing dynamics and underlying factors influencing the current processes, detailed regional specific land cover data and change information are surprisingly absent for this region. In view of the noted research gaps and contemporary developments, three major objectives are defined in this thesis. First (i), the current and most pressing social-ecological challenges are elaborated and policy and management instruments towards more sustainability are discussed. Second (ii), this thesis provides new and improved insights on the current land cover state and dynamics of the entire Yellow River Basin. Finally (iii), the most dominant processes related to mining, agriculture, forest, and urban dynamics are determined on finer spatial and temporal scales. The complex and manifold problems and challenges that result from long-term abuse of the water and land resources in the basin have been underpinned by policy choices, cultural attitude, and institutions that have evolved over centuries in China. The tremendous economic growth that has been mainly achieved by extracting water and exploiting land resources in a rigorous, but unsustainable manner, might not only offset the economic benefits, but could also foster social unrest. Since the early emergence of the first Chinese dynasties, flooding was considered historically as a primary issue in river management and major achievements have been made to tame the wild nature of the Yellow River. Whereas flooding is therefore largely now under control, new environmental and social problems have evolved, including soil and water pollution, ecological degradation, biodiversity decline, and food security, all being further aggravated by anthropogenic climate change. To resolve the contemporary and complex challenges, many individual environmental laws and regulations have been enacted by various Chinese ministries. However, these policies often pursue different, often contradictory goals, are too general to tackle specific problems and are usually implemented by a strong top-down approach. Recently, more flexible economic and market-based incentives (pricing, tradable permits, investments) have been successfully adopted, which are specifically tailored to the respective needs, shifting now away from the pure command and regulating instruments. One way towards a more holistic and integrated river basin management could be the establishment of a common platform (e.g. a Geographical Information System) for data handling and sharing, possibly operated by the Yellow River Basin Conservancy Commission (YRCC), where available spatial data, statistical information and in-situ measures are coalesced, on which sustainable decision-making could be based. So far, the collected data is hardly accessible, fragmented, inconsistent, or outdated. The first step to address the absence and lack of consistent and spatially up-to-date information for the entire basin capturing the heterogeneous landscape conditions was taken up in this thesis. Land cover characteristics and dynamics were derived from the last decade for the years 2003 and 2013, based on optical medium-resolution hightemporal MODIS Normalized Differenced Vegetation Index (NDVI) time series at 250 m. To minimize the inherent influence of atmospheric and geometric interferences found in raw high temporal data, the applied adaptive Savitzky-Golay filter successfully smoothed the time series and substantially reduced noise. Based on the smoothed time series data, a large variety of intra-annual phenology metrics as well as spectral and multispectral annual statistics were derived, which served as input variables for random forest (RF) classifiers. High quality reference data sets were derived from very high resolution imagery for each year independently of which 70 \% trained the RF models. The accuracy assessments for all regionally specific defined thematic classes were based on the remaining 30 \% reference data split and yielded overall accuracies of 87 \% and 84 \% for 2003 and 2013, respectively. The first regional adapted Yellow River Land Cover Products (YRB LC) depict the detail spatial extent and distribution of the current land cover status and dynamics. The novel products overall differentiate overall 18 land cover and use classes, including classes of natural vegetation (terrestrial and aquatic), cultivated classes, mosaic classes, non-vegetated, and artificial classes, which are not presented in previous land cover studies so far. Building on this, an extended multi-faceted land cover analysis on the most prominent land cover change types at finer spatial and temporal scales provides a better and more detailed picture of the Yellow River Basin dynamics. Precise spatio-temporal products about mining, agriculture, forest, and urban areas were examined from long-trem Landsat satellite time series monitored at annual scales to capture the rapid rate of change in four selected focus regions. All archived Landsat images between 2000 and 2015 were used to derive spatially continuous spectral-temporal, multi-spectral, and textural metrics. For each thematic region and year RF models were built, trained and tested based on a stablepixels reference data set. The automated adaptive signature (AASG) algorithm identifies those pixels that did not change between the investigated time periods to generate a mono-temporal reference stable-pixels data set to keep manual sampling requirements to a minimum level. Derived results gained high accuracies ranging from 88 \% to 98 \%. Throughout the basin, afforestation on the Central Loess Plateau and urban sprawl are identified as most prominent drivers of land cover change, whereas agricultural land remained stable, only showing local small-scale dynamics. Mining operations started in 2004 on the Qinghai-Tibet Plateau, which resulted in a substantial loss of pristine alpine meadows and wetlands. In this thesis, a novel and unique regional specific view of current and past land cover characteristics in a complex and heterogeneous landscape was presented by using a multi-source remote sensing approach. The delineated products hold great potential for various model and management applications. They could serve as valuable components for effective and sustainable land and water management to adapt and mitigate the predicted consequences of Global Change processes.},
  subject      = {Fernerkundung},
  language  = {en}
}
@phdthesis{Knauer2018,
  author    = {Knauer, Kim},
  title     = {Vegetation Dynamics in West Africa - Spatio-temporal Data Fusion for the Monitoring of Agricultural Expansion},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-164776},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2018},
  abstract  = {West Africa is one of the fastest growing regions in the world with annual population growth rates of more than three percent for several countries. Since the 1950s, West Africa experienced a fivefold increase of inhabitants, from 71 to 353 million people in 2015 and it is expected that the region's population will continue to grow to almost 800 million people by the year 2050. This strong trend has and will have serious consequences for food security since agricultural productivity is still on a comparatively low level in most countries of West Africa. In order to compensate for this low productivity, an expansion of agricultural areas is rapidly progressing. The mapping and monitoring of agricultural areas in West Africa is a difficult task even on the basis of remote sensing. The small scale extensive farming practices with a low level of agricultural inputs and mechanization make the delineation of cultivated land from other land cover and land use (LULC) types highly challenging. In addition, the frequent cloud coverage in the region considerably decreases the availability of earth observation datasets. For the accurate mapping of agricultural area in West Africa, high temporal as well as spatial resolution is necessary to delineate the small-sized fields and to obtain data from periods where different LULC types are distinguishable. However, such consistent time series are currently not available for West Africa. Thus, a spatio-temporal data fusion framework was developed in this thesis for the generation of high spatial and temporal resolution time series. Data fusion algorithms such as the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) enjoyed increasing popularity during recent years but they have hardly been used for the application on larger scales. In order to make it applicable for this purpose and to increase the input data availability, especially in cloud-prone areas such as West Africa, the ESTARFM framework was developed in this thesis introducing several enhancements. An automatic filling of cloud gaps was included in the framework in order to use even partly cloud-covered Landsat images for the fusion without producing gaps on the output images. In addition, the ESTARFM algorithm was improved to automatically account for regional differences in the heterogeneity of the study region. Further improvements comprise the automation of the time series generation as well as the significant acceleration of the processing speed through parallelization. The performance of the developed ESTARFM framework was tested by fusing an 8-day NDVI time series from Landsat and MODIS data for a focus area of 98,000 km² in the border region between Burkina Faso and Ghana. The results of this test show the capability of the ESTARFM framework to accurately produce high temporal resolution time series while maintaining the spatial detail, even in such a heterogeneous and cloud-prone region. The successfully tested framework was subsequently applied to generate consistent time series as the basis for the mapping of agricultural area in Burkina Faso for the years 2001, 2007, and 2014. In a first step, high temporal (8-day) and high spatial (30 m) resolution NDVI time series for the entire country and the three years were derived with the ESTARFM framework. More than 500 Landsat scenes and 3000 MODIS scenes were automatically processed for this purpose. From the fused ESTARFM NDVI time series, phenological metrics were extracted and together with the single time steps of NDVI served as input for the delineation of rainfed agricultural areas, irrigated agricultural areas and plantations. The classification was conducted with the random forest algorithm at a 30 m spatial resolution for entire Burkina Faso and the three years 2001, 2007, and 2014. For the training and validation of the classifier, a randomly sampled reference dataset was generated from Google Earth images based on expert knowledge of the region. The overall classification accuracies of 92\% (2001), 91\% (2007), and 91\% (2014) indicate the well-functioning of the developed methodology. The resulting maps show an expansion of agricultural area of 91\% from about 61,000 km² in 2001 to 116,900 km² in 2014. While rainfed agricultural areas account for the major part of this increase, irrigated areas and plantations also spread considerably. Especially the expansion of irrigation systems and plantation area can be explained by the promotion through various national and international development projects. The increase of agricultural areas goes in line with the rapid population growth in most of Burkina Faso's provinces which still had available land resources for an expansion of agricultural area. An analysis of the development of agricultural areas in the vicinity of protected areas highlighted the increased human pressure on these reserves. The protection of the remnant habitats for flora and fauna while at the same time improving food security for a rapidly growing population, are the major challenges for the region in the future. The developed ESTARFM framework showed great potential beyond its utilization for the mapping of agricultural area. Other large-scale research that requires a sufficiently high temporal and spatial resolution such as the monitoring of land degradation or the investigation of land surface phenology could greatly benefit from the application of this framework.},
  subject      = {Fernerkundung},
  language  = {en}
}
@article{vanToorNewmanTakekawaetal.2016,
  author    = {van Toor, Mari{\"e}lle L. and Newman, Scott H. and Takekawa, John Y. and Wegmann, Martin and Safi, Kamran},
  title     = {Temporal segmentation of animal trajectories informed by habitat use},
  series = {Ecosphere},
  volume    = {7},
  journal   = {Ecosphere},
  number    = {10},
  doi       = {10.1002/ecs2.1498},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-164970},
  pages     = {e01498},
  year      = {2016},
  abstract  = {Most animals live in seasonal environments and experience very different conditions throughout the year. Behavioral strategies like migration, hibernation, and a life cycle adapted to the local seasonality help to cope with fluctuations in environmental conditions. Thus, how an individual utilizes the environment depends both on the current availability of habitat and the behavioral prerequisites of the individual at that time. While the increasing availability and richness of animal movement data has facilitated the development of algorithms that classify behavior by movement geometry, changes in the environmental correlates of animal movement have so far not been exploited for a behavioral annotation. Here, we suggest a method that uses these changes in individual-environment associations to divide animal location data into segments of higher ecological coherence, which we term niche segmentation. We use time series of random forest models to evaluate the transferability of habitat use over time to cluster observational data accordingly. We show that our method is able to identify relevant changes in habitat use corresponding to both changes in the availability of habitat and how it was used using simulated data, and apply our method to a tracking data set of common teal (Anas crecca). The niche segmentation proved to be robust, and segmented habitat suitability outperformed models neglecting the temporal dynamics of habitat use. Overall, we show that it is possible to classify animal trajectories based on changes of habitat use similar to geometric segmentation algorithms. We conclude that such an environmentally informed classification of animal trajectories can provide new insights into an individuals' behavior and enables us to make sensible predictions of how suitable areas might be connected by movement in space and time.},
  language  = {en}
}
@article{NyssenVanNieulandVandenbergheetal.2016,
  author    = {Nyssen, Jan and Van Nieuland, Jasper and Vandenberghe, Dimitri and Juilleret, J{\´e}r{\^o}me and Terhorst, Birgit},
  title     = {Gr{\`e}zes lit{\´e}es and their genesis: the site of Enscherange in the Rhenish-Ardennes Massif as a case study},
  series = {Die Erde : Journal of the Geographical Society of Berlin},
  volume    = {147},
  journal   = {Die Erde : Journal of the Geographical Society of Berlin},
  number    = {1},
  doi       = {10.12854/erde-147-1},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-165032},
  year      = {2016},
  abstract  = {The freeze-thaw cycles in periglacial areas during the Quaternary glacials increased frost weathering, leading to a disintegration of rock formations. Transported downslope, clasts allowed in some areas the formation of stratified slope deposits known as "gr{\`e}zes lit{\´e}es". This study reviews the existing theories and investigates the gr{\`e}zes lit{\´e}es deposits of Enscherange and Rodershausen in Luxembourg. This process was reinforced by the lithostructural control of the parent material expressed by the dip of schistosity (66°) and its orientation parallel to the main slopes in the area. This gave opportunities to activate the frost-weathering process on top of the ridge where the parent material outcropped. As the stratified slope deposits have a dip of 23° and as there is no significant lateral variation in rock fragment size, slope processes that involve only gravity are excluded and transportation in solifluction lobes with significant slopewash and sorting processes is hypothesized. The Enscherange formation, the biggest known outcrop of gr{\`e}zes lit{\´e}es in north-western Europe, shows evidence of clear layering over the whole profile depth. A palaeolandscape reconstruction shows that ridges must have been tens of metres higher than presently. The investigation of the matrix composition shows Laacher See tephra in the overlying periglacial cover bed with infiltrations of the minerals in the reworked upper layer of the gr{\`e}zes lit{\´e}es deposit. Chronostratigraphic approaches using the underlying cryoturbation zone and Laacher See heavy minerals in the overlying topsoil place the formation of gr{\`e}zes lit{\´e}es deposits in the Late Pleistocene.},
  language  = {en}
}
@book{OPUS4-17437,
  title     = {Der gekaufte Verstand - Was taugen Gutachter- und Beraterleistungen im Einzelhandel?},
  editor    = {Heinritz, G{\"u}nter and Schr{\"o}der, Frank},
  publisher = {L.I.S. Verlag},
  address   = {Passau},
  isbn      = {3-932820-18-5},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-174378},
  publisher      = {Universit{\"a}t W{\"u}rzburg},
  pages     = {101},
  year      = {2001},
  abstract  = {Der Einzelhandel ist ein {\"a}ußerst konflikttr{\"a}chtiges Feld der Stadtplanung und Kommunalpolitik. Standortentscheidungen - insbesondere im großfl{\"a}chigen Handel - sind f{\"u}r die betroffenen Kommunen und die jeweiligen Investoren vpn großer Bedeutung und sollten deshalb sorgf{\"a}ltig vorbereitet werden. Dazu braucht man in der Regel externe Gutachter, deren Sachverstand man in der {\"U}berzeugung einkauft, er sei gr{\"o}ßer als der eigene. Aber ist er es wirklich? Manchmal sind Zweifel angebracht: Welcher B{\"u}rgermeister kennt es nicht, das Gef{\"u}hl, f{\"u}r viel Geld nur wenig Substanz bekommen zu haben oder das Gef{\"u}hl in die H{\"a}nde von „industriell" arbeitenden Gutachtern gefallen zu sein, die schematisch Textbausteine aneinander reihen und stets nur den Ortsnamen austauschen? Selten k{\"o}nnen die Auftraggeber von Gutachten solchen Zweifeln auf den Grund gehen, weil sie erstens nicht aus der Branche sind und Ihnen zweitens keine allgemeinen Standards zur Verf{\"u}gung stehen, an denen man die Qualit{\"a}t von Gutachten messen k{\"o}nnte. Mit diesem Sammelband sollen solche Standards etabliert und den potenziellen Auftraggebern von Gutachten zur Kenntnis gebracht werden. Gleichzeitig geht es jedoch auch um die Mitverantwortung der Auftraggeber f{\"u}r die Qualit{\"a}t von Gutachten, denn nur bei klar formulierten Fragen und einem angemessenen Budget k{\"o}nnen Gutachter nutzbringende Antworten geben. Das Buch wendet sich vor allem an Stadt- und Regionalplaner, Kommunalpolitiker, F{\"u}hrungskr{\"a}fte aus dem Einzelhandel und der Immobilienbranche sowie - nicht zuletzt - an die, deren Verstand gekauft wird: die Gutachter.},
  subject      = {Einzelhandel},
  language  = {de}
}
@book{Popp2002,
  author    = {Popp, Monika},
  title     = {Innenstadtnahe Einkaufszentren - Besucherverhalten zwischen neuen und traditionellen Einzelhandelsstandorten},
  publisher = {L.I.S. Verlag},
  address   = {Passau},
  isbn      = {3-932820-23-1},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-174386},
  publisher      = {Universit{\"a}t W{\"u}rzburg},
  pages     = {162},
  year      = {2002},
  abstract  = {„Kannibalisierung" oder „Revitalisierung"? Die Diskussion um die Auswirkungen innenstadtnaher Einkaufzentren k{\"o}nnte kaum kontroverser sein. W{\"a}hrend die einen Gruppe von Experten gerade in der N{\"a}he der Einkaufszentren zur Innenstadt eine Gef{\"a}hrdung f{\"u}r den dortigen Einzelhandel sieht, geht die andere Gruppe davon aus, dass Synergieeffekte entstehen, von denen die traditionellen Innenstadtstandorte ebenso profitieren wie die neue hinzugekommen Einkaufszentren. Empirisch belegt ist weder die eine noch die andere Meinung. Eines steht allerdings fest: Der Trend der Einkaufszentren „zur{\"u}ck in die Innenst{\"a}dte" ist un{\"u}bersehbar. Allein in den letzten Jahren wurden in Deutschland rund 50 neue Einkaufszentren in Innenstadt(rand)lage er{\"o}ffnet. Diese Studie untersucht die Auswirkungen innenstadtnaher Einkaufszentren empirisch. Am Beispiel f{\"u}nf citynaher Einkaufszentren in St{\"a}dten unterschiedlicher Gr{\"o}ße werden besonders die Ver{\"a}nderungen im Besucherverhalten beleuchtet. Dieser Fokus wurde gew{\"a}hlt, weil alle etwaigen Ver{\"a}nderungen in den Innenst{\"a}dten letztlich auf ein ver{\"a}ndertes Besucherverhalten zur{\"u}ckzuf{\"u}hren sind. Ein besonderes Augenmerkt gilt bei der Analyse den Kopplungsbeziehungen zwischen Einkaufszentren und Innenst{\"a}dten sowie dem Verhalten der Koppler. Auf der Grundlage umfangreichen empirischen Materials wird eine differenzierte Bewertung von Chancen und Risiken innenstadtnaher Einkaufszentren vorgenommen.},
  subject      = {Einkaufszentrum},
  language  = {de}
}