Exploring the Linkage of Spatial Indicators from Remote Sensing Data with Survey Data: The Case of the Socio-Economic Panel (SOEP) and 3D City Models
AbstractThis paper demonstrates the spatial evaluation of survey data from the German Socio-Economic Panel (SOEP) study using geo-coordinates and spatially relevant indicators from remote sensing data. By geocoding the addresses of survey households with block-level geographic precision (while preventing their identification by name and guaranteeing their complete anonymity), data on SOEP respondents can now be analyzed in a specific spatial context. In the past, regional analyses of SOEP based on official regional indicators (e.g., the unemployment rate) always had only very imprecise spatial information to work with. This limitation has now been overcome with the geocoded respondents’ information. Within a protected unit of the fieldwork organization responsible for SOEP (TNS Infratest, Munich), the addresses of survey households can now be used to generate a variable describing the location of the household with block-level precision. At DIW Berlin, this additional variable is fed into a special computer infrastructure with multiple security layers that makes the socio-economic analysis possible. This paper demonstrates the use of this geographical location and remote sensing data to check respondents’ subjective assessments of the location of their residence, and discusses the analytical potential of linking remote sensing data and survey data.
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Bibliographic InfoPaper provided by DIW Berlin, The German Socio-Economic Panel (SOEP) in its series SOEPpapers on Multidisciplinary Panel Data Research with number 283.
Length: 14 p.
Date of creation: 2010
Date of revision:
Remote sensing data; social sciences; behavioral sciences; multi-disciplinarity; SOEP;
Find related papers by JEL classification:
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Denis Gerstorf & Nilam Ram & Jan Goebel & Jürgen Schupp & Ulman Lindenberger & Gert G. Wagner, 2010. "Where People Live and Die Makes a Difference: Individual and Geographic Disparities in Well-Being Progression at the End of Life," SOEPpapers on Multidisciplinary Panel Data Research 287, DIW Berlin, The German Socio-Economic Panel (SOEP).
- Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007.
"The German Socio-Economic Panel Study (SOEP): Scope, Evolution and Enhancements,"
SOEPpapers on Multidisciplinary Panel Data Research
1, DIW Berlin, The German Socio-Economic Panel (SOEP).
- Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
- Joachim R. Frick & Jan Goebel & Michaela Engelmann & Uta Rahmann, 2010. "The Research Data Center (RDC) of the German Socio-Economic Panel (SOEP)," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 130(3), pages 393-401.
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