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  1. Capturing the Senses
    Digital Methods for Sensory Archaeologies
    Contributor: Landeschi, Giacomo (Herausgeber); Betts, Eleanor (Herausgeber)
    Published: 2023
    Publisher:  Springer Nature, Cham

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    Source: Union catalogues
    Contributor: Landeschi, Giacomo (Herausgeber); Betts, Eleanor (Herausgeber)
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783031231322
    Other identifier:
    Series: Quantitative Methods in the Humanities and Social Sciences
    Subjects: Social research & statistics; Archaeology; Society & social sciences
    Other subjects: Sensory Studies; Sensory Archaeology; Digital Humanities; Human Geography; Landscape Archaeology; Phenomenological Archaeology; Multisensory; Cultural Heritage; Spatial Analysis; Data Visualization; Digital Media; Digital Epigraphy; Heuristics
    Scope: 1 electronic resource (264 pages)
  2. Capturing the Senses
    Contributor: Landeschi, Giacomo (Herausgeber); Betts, Eleanor (Herausgeber)
    Published: 2023
    Publisher:  Springer Nature, Cham ; OAPEN FOUNDATION, The Hague

    This open-access book surveys how digital technology can contribute effectively to improving our understanding of the past, through a sensory engagement based on the evidence of material culture. In particular, it encourages specialists to consider... more

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    This open-access book surveys how digital technology can contribute effectively to improving our understanding of the past, through a sensory engagement based on the evidence of material culture. In particular, it encourages specialists to consider senses and human agency as important factors in studying ancient space, while recognising the role played by digital tools in enhancing a human-centred form of analysis. Significant advances in archaeological computing, digital methods, and sensory approaches have led archaeologists to rethink strategies and methods for creating narratives of the past. Recent progress in data visualisation and implementation, as well as other nascent digital sensory methods, means that it is now easier to explore and experience ancient space from a multiscalar perspective, from the individual body or single building to the wider landscape. The chapters in Capturing the Senses: Digital Methods for Sensory Archaeologies present innovative methods for representing an embodied experience of ancient space, simulating (but not recreating) ancient behaviours and social interaction. Chapters cover topics including the potentials and pitfalls of visualising, recreating, and re-enacting/experiencing the senses in Virtual Reality environments and also digital reconstructions and auralisations of ancient spaces to study sound sensory perception. Overall, the book demonstrates that multisensory approaches can give a new perspective on how ancient spaces were intended to be used by inhabitants to fulfil a series of purposes including conveying messages and regulating movement. This is an open-access book.

     
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    Source: Union catalogues
    Contributor: Landeschi, Giacomo (Herausgeber); Betts, Eleanor (Herausgeber)
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783031231339; 9783031231322
    Series: Quantitative Methods in the Humanities and Social Sciences
    Subjects: Social research & statistics; Archaeology; Society & social sciences
    Other subjects: Sensory Studies; Sensory Archaeology; Digital Humanities; Human Geography; Landscape Archaeology; Phenomenological Archaeology; Multisensory; Cultural Heritage; Spatial Analysis; Data Visualization; Digital Media; Digital Epigraphy; Heuristics
    Scope: 1 Online-Ressource (264 p.)
  3. Urban land use fragmentation and human wellbeing
    Author: Bertram, Christine; Goebel, Jan; Krekel, Christian; Rehdanz, Katrin
    Published: 01/2020
    Publisher:  Kiel Institute for the World Economy, Kiel

    We study how urban land use fragmentation affects the subjective wellbeing of city residents. Therefore, we calculate fragmentation metrics based on the European Urban Atlas for 15,000 households in the German Socio-Economic Panel. Using random and... more

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    Staats- und Universitätsbibliothek Bremen
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    Leibniz-Institut für Wirtschaftsforschung Halle, Bibliothek
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    We study how urban land use fragmentation affects the subjective wellbeing of city residents. Therefore, we calculate fragmentation metrics based on the European Urban Atlas for 15,000 households in the German Socio-Economic Panel. Using random and fixed effects specifications, we find that fragmentation has little impact on wellbeing when aggregating over all land use types. Looking at particular land use types, however, we find that wellbeing is positively affected by lower average degrees of soil sealing, larger shares of vegetation, and a more heterogeneous configuration of medium and low density urban fabric, especially in areas with above average population density.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
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    hdl: 10419/211486
    Series: Kiel working paper ; no. 2147 (January 2020)
    Subjects: Urban Land Use; Urban Land Use Fragmentation; Subjective Wellbeing; Life Satisfaction; Spatial Analysis; SOEP; GIS
    Scope: 1 Online-Ressource (circa 57 Seiten), Illustrationen
  4. Testing local versions of correlation coefficients
    Author: Kalogirou, Stamatis
    Published: 2010
    Publisher:  European Regional Science Association, [Louvain-la-Neuve]

    The aim of this paper is to define and test local versions of standard correlation coefficients in statistical analysis. This research is motivated by the increasing number of applications using local versions of exploratory and explanatory spatial... more

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    The aim of this paper is to define and test local versions of standard correlation coefficients in statistical analysis. This research is motivated by the increasing number of applications using local versions of exploratory and explanatory spatial data analysis methods. A common example of the latter is local regression. Methods such as the Geographically Weighted Regression argue that it is necessary to check spatial non-stationarity in the relationships between a geographic phenomenon and its determinants. This is because the response to a stimulus could vary across space. For example the relationship between education level and unemployment could vary across the EU regions. Local regression claims to account for local relationships that may be hidden or missed when a global regression is applied. However, the statistical inference in local regression methods is still an open field for basic research. In this paper a local version of Pearson correlation coefficient is defined and tested in spatial data. By doing this a simple tool for statistical inference is provided assisting a more careful interpretation of the results of a local regression model. Furthermore, this could be a technique for testing the existence of local correlation among two variables representing spatial data in the absence of a global correlation and vice versa. The application of this technique includes pairs of usually correlated variables, such as income and high levels of education as well as not correlated variables.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
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    hdl: 10419/118907
    Series: Sustainable regional growth and development in the creative knowledge economy : 50th ERSA Congress : 19 - 23 August 2010, Jönköping, Sweden / European Regional Science Association
    Subjects: Statistical Inference in Geography; Spatial Analysis; Correlation; Geographically; Weighted Regression
    Scope: 1 Online-Ressource (circa 16 Seiten), Illustrationen
  5. Are regional differences in personality and their correlates robust?
    applying spatial analysis techniques to examine regional variation in personality across the U.S. and Germany
    Author: Ebert, Tobias; Gebauer, Jochen E.; Brenner, Thomas; Bleidorn, Wiebke; Gosling, Sam; Potter, Jeff; Rentfrow, P. Jason
    Published: 2019
    Publisher:  Philipps-Universität Marburg, Marburg

    There is growing evidence that personality traits are spatially clustered across geographic regions and that regionally aggregated personality scores are related to political, economic, social, and health outcomes. However, much of the evidence comes... more

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    There is growing evidence that personality traits are spatially clustered across geographic regions and that regionally aggregated personality scores are related to political, economic, social, and health outcomes. However, much of the evidence comes from research that has relied on methods that are ill-suited for working with spatial data. Consequently, the validity and generalizability of that work is unclear. The present work addresses two main challenges of working with spatial data (i.e., Modifiable Aerial Unit Problem and spatial dependencies) and evaluates data-analytic techniques designed to tackle those challenges. Using analytic techniques designed for spatial data, we offer a practical guideline for working with spatial data in psychological research. Specifically, we investigate the robustness of regional personality differences and their correlates within the U.S. (Study 1: N = 3,387,303) and Germany (Study 2: N = 110,029). To account for the Modifiable Aerial Unit Problem, we apply a mapping approach that visualizes distributional patterns without aggregating to a higher level and examine the correlates of regional personality scores across multiple levels of spatial aggregation. To account for spatial dependencies, we examine the correlates of regional personality scores using spatial econometric models. Overall, our results suggest that regional personality differences are robust and can be reliably studied across countries and spatial levels. At the same time, the 4 results also show that ignoring the methodological challenges of spatial data can have serious consequences for research concerned with regional personality differences.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
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    hdl: 10419/244350
    Series: Working papers on innovation and space ; # 19, 05
    Subjects: Geographical Psychology; Personality; Spatial Analysis
    Scope: 1 Online-Ressource (circa 73 Seiten), Illustrationen
  6. Quantifying the externalities of renewable energy plants using wellbeing data: the case of biogas
    Author: Krekel, Christian; Rechlitz, Julia; Rode, Johannes; Zerrahn, Alexander
    Published: [2021]
    Publisher:  German Socio-Economic Panel (SOEP), DIW Berlin, Berlin, Germany

    Although there is strong support for renewable energy plants, they are often met with local resistance. We quantify the externalities of renewable energy plants using well-being data. We focus on the example of biogas, one of the most frequently... more

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    Although there is strong support for renewable energy plants, they are often met with local resistance. We quantify the externalities of renewable energy plants using well-being data. We focus on the example of biogas, one of the most frequently deployed technologies besides wind and solar. To this end, we combine longitudinal household data with novel panel data on more than 13, 000 installations in Germany. Identification rests on a spatial difference-in-differences design exploiting exact geographical coordinates of households, biogas installations and wind direction and intensity. We find limited evidence for negative externalities: impacts are moderate in size and spatially confined to a radius of 2, 000 metres around plants. We discuss implications for research and regional planning, in particular minimum setback distances and potential monetary compensations.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/229848
    Series: SOEPpapers on multidisciplinary panel data research ; 1116 (2021)
    Subjects: Renewables; Biogas; Externalities; Social Acceptance; Wellbeing; Spatial Analysis
    Scope: 1 Online-Ressource (circa 52 Seiten), Illustrationen
  7. Quantifying the effects of Special Economic Zones using spatial econometric models
    Author: Lu, Zhaoying
    Published: April 2021
    Publisher:  Graduate School of Economics, Osaka University, Toyonaka, Osaka, Japan

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    Source: Union catalogues
    Language: English
    Media type: Book
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    Other identifier:
    hdl: 11094/79421
    Series: Discussion papers in economics and business ; 21, 01
    Subjects: Special Economic Zone; Place-based Policy; Spatial Analysis; Productivity; Spillovers
    Scope: 1 Online-Ressource (circa 29 Seiten), Illustrationen
  8. Human capital spillovers from Special Economic Zones
    evidence from Yangtze Delta in China
    Author: Lu, Zhaoying
    Published: April 2021
    Publisher:  Graduate School of Economics, Osaka University, Toyonaka, Osaka, Japan

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    Language: English
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    hdl: 11094/81250
    Series: Discussion papers in economics and business ; 21, 02
    Subjects: Special Economic Zone; Spatial Analysis; Human Capital; Spillovers; Yangtze Delta
    Scope: 1 Online-Ressource (circa 29 Seiten), Illustrationen
  9. Excess mortality versus COVID-19 death rates: a spatial analysis of socioeconomic disparities and political allegiance across US states
    Author: Aron, Janine; Muellbauer, John
    Published: [2021]
    Publisher:  Department of Economics, University of Oxford, Oxford

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    Source: Union catalogues
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    Series: Department of Economics discussion paper series / University of Oxford ; number 955 (December 2021)
    Subjects: Excess Mortality; COVID-19; Spatial Analysis; US States; Political Polarization
    Scope: 1 Online-Ressource (circa 46 Seiten), Illustrationen
  10. Terrorism and local economic development
    Author: Ponnusamy, Sundar; Faravelli, Marco
    Published: October 2023
    Publisher:  University of Queensland, [Brisbane]

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    Source: Union catalogues
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    Series: Discussion paper series / UQ School of Economics ; no. 664
    Subjects: Terrorism; Economic Development; Spatial Analysis
    Scope: 1 Online-Ressource (circa 42 Seiten), Illustrationen
  11. Asymptotic F test in a GMM framework with cross sectional dependence
    Author: Sun, Yixiao; Kim, Min Seong
    Published: 2012
    Publisher:  Ryerson Univ., Dep. of Economics, Toronto

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    Niedersächsische Staats- und Universitätsbibliothek Göttingen
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    Content information
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Working papers / Ryerson University, Department of Economics ; 032
    Subjects: Zeitreihenanalyse; Momentenmethode; Heteroskedastizität; Robustes Verfahren; Statistischer Fehler; Theorie; F distribution; Fixed-smoothing asymptotics; Heteroskedasticity and Autocorrelation Robust; Robust Standard Error; Series Method; Spatial Analysis; Spatial Autocorrelation
    Scope: Online-Ressource (34 S.)