Using Survey Data for Spatial Analysis 1
|Convenor||Professor Nina Baur (Technische Universität Berlin )|
|Coordinator 1||Ms Linda Hering (Technische Universität Berlin)|
|Coordinator 2||Ms Cornelia Thierbach (Technische Universität Berlin)|
In this contribution the author examines similarities and differences of “doing identity in Europe” in two “twin communities” on both sides of the border between Germany and France and Luxembourg respectively.
The objective of the study is to examine place identity and spatial behaviour in a border region. On one hand we will conduct a standardized survey of all households of Leidingen (Saarland, 189 Einwohner) und Heining-lès-Bouzonville (Lothringen, 502 Einwohner) and a representative sample in Langsur (Rhineland-Palatinate, 1.635 inhabitants) and Wasserbillig (Luxembourg, 2.300 inhabitants).
This paper presents an approach to combine the depth of a social survey with the pervasiveness of neighbourhood statistics to estimate geographic prevalences of health behaviours in the context of lifestyle milieus. 33,000 England and Wales residents were clustered into nine milieus based on a range of behavioural and attitudinal variables. The milieus strongly differed in their social and demographic profiles. Spatial microsimulation was used to probabilistically assess the geographical distribution of the milieus and associated health behaviours. Preliminary results for London suggest that this approach offers opportunities for the use of survey data in informing applied spatial statistics.
Statview is a web application for statistical data stored and interactive map-based visualization .