@inproceedings{KoenigSchneiderHijazietal.,
  author    = {K{\"o}nig, Reinhard and Schneider, Sven and Hijazi, Ihab Hamzi and Li, Xin and Bielik, Martin and Schmitt, Gerhard and Donath, Dirk},
  title     = {Using geo statistical analysis to detect similarities in emotional responses of urban walkers to urban space},
  series = {Sixth International Conference on Design Computing and Cognition (DCC14)},
  booktitle = {Sixth International Conference on Design Computing and Cognition (DCC14)},
  doi       = {10.25643/bauhaus-universitaet.2514},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160121-25146},
  pages     = {1},
  abstract  = {Using geo statistical analysis to detect similarities in emotional responses of urban walkers to urban space},
  subject      = {St{\"a}dtebau},
  language  = {en}
}
@misc{Baron,
  author    = {Baron, Nicole},
  title     = {Verflechtungen im st{\"a}dtischen Gef{\"u}ge. Rezension zu Barbara Heer (2019): Cities of entanglements. Social life in Johannesburg and Maputo through ethnographic comparison},
  series = {sub\urban. Zeitschrift f{\"u}r Kritische Stadtforschung},
  volume    = {2021},
  journal   = {sub\urban. Zeitschrift f{\"u}r Kritische Stadtforschung},
  number    = {Band 9, Heft 1/2},
  publisher = {sub\urban e. V.},
  address   = {Berlin},
  doi       = {10.36900/suburban.v9i1/2.664},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20210806-44785},
  pages     = {235 -- 240},
  abstract  = {Dieser Artikel rezensiert die {\"u}berarbeitete Version von Barbara Heers Dissertation zu st{\"a}dtischen Verflechtungen in Johannesburg und Maputo. Das Buch ist 2019 im Transcript Verlag erschienen und umfasst 337 Seiten.},
  subject      = {S{\"u}dafrika},
  language  = {de}
}
@article{TonnTatarin,
  author    = {Tonn, Christian and Tatarin, Ren{\´e}},
  title     = {Volumen Rendering in der Architektur: {\"U}berlagerung und Kombination von 3D Voxel Volumendaten mit 3D Geb{\"a}udemodellen},
  doi       = {10.25643/bauhaus-universitaet.2671},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160822-26718},
  abstract  = {Volumerendering ist eine Darstellungstechnik, um verschiedene r{\"a}umliche Mess- und Simulationsdaten anschaulich, interaktiv grafisch darzustellen. Im folgenden Beitrag wird ein Verfahren vorgestellt, mehrere Volumendaten mit einem Architekturfl{\"a}chenmodell zu {\"u}berlagern. Diese komplexe Darstellungsberechnung findet mit hardwarebeschleunigten Shadern auf der Grafikkarte statt. Im Beitrag wird hierzu der implementierte Softwareprototyp "VolumeRendering" vorgestellt. Neben dem interaktiven Berechnungsverfahren wurde ebenso Wert auf eine nutzerfreundliche Bedienung gelegt. Das Ziel bestand darin, eine einfache Bewertung der Volumendaten durch Fachplaner zu erm{\"o}glichen. Durch die {\"U}berlagerung, z. B. verschiedener Messverfahren mit einem Fl{\"a}chenmodell, ergeben sich Synergien und neue Auswertungsm{\"o}glichkeiten. Abschließend wird anhand von Beispielen aus einem interdisziplin{\"a}ren Forschungsprojekt die Anwendung des Softwareprototyps illustriert.},
  subject      = {Multiple Volume Rendering},
  language  = {de}
}
@article{Kalisch,
  author    = {Kalisch, Dominik},
  title     = {Wissen wer wo wohnt},
  doi       = {10.25643/bauhaus-universitaet.2669},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160822-26695},
  abstract  = {In cities people live together in neighbourhoods. Here they can find the infrastructure they need, starting with shops for the daily purpose to the life-cycle based infrastructures like kindergartens or nursing homes. But not all neighbourhoods are identical. The infrastructure mixture varies from neighbourhood to neighbourhood, but different people have different needs which can change e.g. based on the life cycle situation or their affiliation to a specific milieu. We can assume that a person or family tries to settle in a specific neighbourhood that satisfies their needs. So, if the residents are happy with a neighbourhood, we can further assume that this neighbourhood satisfies their needs. The socio-oeconomic panel (SOEP) of the German Institute for Economy (DIW) is a survey that investigates the economic structure of the German population. Every four years one part of this survey includes questions about what infrastructures can be found in the respondents neighbourhood and the satisfaction of the respondent with their neighbourhood. Further, it is possible to add a milieu estimation for each respondent or household. This gives us the possibility to analyse the typical neighbourhoods in German cities as well as the infrastructure profiles of the different milieus. Therefore, we take the environment variables from the dataset and recode them into a binary variable - whether an infrastructure is available or not. According to Faust (2005), these sets can also be understood, as a network of actors in a neighbourhood, which share two, three or more infrastructures. Like these networks, this neighbourhood network can also be visualized as a bipartite affiliation network and therefore analysed using correspondence analysis. We will show how a neighbourhood analysis will benefit from an upstream correspondence analysis and how this could be done. We will also present and discuss the results of such an analysis.},
  subject      = {urban planning},
  language  = {de}
}