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

This 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 guaranteeingtheir 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 geographicallocation and remote sensing data to check respondents' subjective assessments of the location of their residence, anddiscusses the analytical potential of linking remote sensing data and survey data.Remote sensing data, social sciences, behavioral sciences, multi-disciplinarity, SOEP

Hall Thruster with Magnetic Discharge Chamber and Conductive Coating

Hall thrusters with conductive coatings are disclosed. A Hall thruster comprises magnetic shielding in order to avoid collisions with the inner walls of its discharge chamber. By removing the source of erosion, the walls of the chamber can be removed reducing mass, cost and complexity of the thruster. A conductive coating, such as an aluminum coating, is deposited on inner screens between the discharge chamber and the magnetic poles of the thruster. The magnetic field within the chamber shields the conductive coating deposited on the inner and outer screens of the chamber

Masterov Kliuch and the Early Upper Palaeolithic of the Transbaikal, Siberia

In 1996, archaeological excavations were conducted at the Masterov Kliuch site, located east of Lake Baikal, Siberia. Three archaeological components were uncovered, all occurring in colluvial deposits. The two lower components (I and II) are Palaeolithic in age and character. Component I is an early Upper Palaeolithic industry dated to 32,500-30,000 years ago (B.P.), and is in a primary context. Component II is undated but is also assignable to the early Upper Palaeolithic based on typology, although it appears to have been redeposited. Artifact assemblages from these two components are blade-based and include retouched blades and flakes, knives, denticulates, end scrapers, gravers, and burins. Component III represents a Bronze Age occupation dated to around 2900 B.P. The Palaeolithic industries at Masterov Kliuch are technologically/typologically similar to other initial Upper Palaeolithic industries in Siberia, and appear to represent some of the easternmost manifestations of an early Upper Palaeolithic technocomplex that spanned inner Asia from Uzbekistan to the Transbaikal between about 42,000 and 30,000 B.P. Our findings have further implications for Upper Palaeolithic research in northern Asia, especially regarding site formation processes and hunter-gatherer raw material procurement. First, like Masterov Kliuch, most early Upper Palaeolithic sites across northern Asia lie in colluvial settings and may not be in pristine, primary contexts, so that interpretations of stone features such as hearths or dwellings may be suspect. Second, study of the Masterov Kliuch lithic industries indicates that huntergatherers exclusively utilized local lithic resources in the manufacture of tools, and that raw material procurement strategies were embedded within other subsistence pursuits. This pattern of local, embedded raw material procurement is seen in virtually all other early Upper Palaeolithic sites in Siberia, while "logistical," longdistance procurement strategies, characteristic of the early Upper Palaeolithic of western Eurasia, did not appear in Siberia until much later in time, after about 25,000 B.P. KEYWORDS: Siberia, early Upper Palaeolithic, geoarchaeology, lithic technology, raw material procurement

Using Geographically Referenced Data on Environmental Exposures for Public Health Research: A Feasibility Study Based on the German Socio-Economic Panel Study (SOEP)

Background: In panel datasets information on environmental exposures is scarce. Thus, our goal was to probe the use of area-wide geographically referenced data for air pollution from an external data source in the analysis of physical health. Methods: The study population comprised SOEP respondents in 2004 merged with exposures for NO2, PM10 and O3 based on a multi-year reanalysis of the EURopean Air pollution Dispersion-Inverse Model (EURAD-IM). Apart from bivariate analyses with subjective air pollution we estimated cross-sectional multilevel regression models for physical health as assessed by the SF-12. Results: The variation of average exposure to NO2, PM10 and O3 was small with the interquartile range being less than 10µg/m3 for all pollutants. There was no correlation between subjective air pollution and average exposure to PM10 and O3, while there was a very small positive correlation between the first and NO2. Inclusion of objective air pollution in regression models did not improve the model fit. Conclusions: It is feasible to merge environmental exposures to a nationally representative panel study like the SOEP. However, in our study the spatial resolution of the specific air pollutants has been too little, yet.SOEP, Geographically Referenced Data, Feasibility Study, Air Pollution, EURAD-IM, Physical Health

Exemplarische Integration raumrelevanter Indikatoren auf Basis von "Fernerkundungsdaten" in das Sozio-oekonomische Panel (SOEP)

This paper demonstrates spatial evaluation methods on 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 private households (while not identifying them by name and while guaranteeing their complete anonymity) with block-level geographic precision, respondents' data can now be analyzed in a specific spatial context. Previous regionalanalyses of SOEP on the basis of official regional indicators (e.g., the unemployment rate) were always confronted with very imprecise spatial information. This limitation has now been overcome with the geocoded respondents' information. Within the protected unit of the fieldwork organization responsible for SOEP (TNS Infratest, Munich), the addresses of survey households are 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 geographical location and remote sensing data in checking respondents' subjective assessments of the location of their residence. The analytical potential of linking remote sensing data and survey data is demonstrated and discussed.remote sensing data , social sciences, economics, behavioral sciences, multi-disciplinarity, SOEP