Using Survey Data for Spatial Analysis

Convenor: Professor Nina Baur
Affiliation: TU Berlin

Session Details

The session aims at exploring new developments in spatial methods, seeing space either as dependent or independent variable: Researchers can ask how people think about space and construct space or they can see space as a relevant frame for social action that influences social life.

Based on these observations and building on the prior debates at the ESRA Conference in Reykjavik, the RC33 Conferences in Sydney, Leicester and Taipeh as well the HSR Special Issue on “Spatial Analysis in the Social Sciences and Humanities. Towards Integrating Qualitative, Quantitative and Cartographic Approaches” (2014), the session asks how to further spatial analysis. Papers thus should address one of the questions below either at a more general methodological level or by using a concrete example in a specific research project:

(1) How can survey data be used for spatial analysis? Can they be used by themselves, or do they have to be mixed with other data, e.g. geodata, qualitative data?

(2) What methodological innovations concerning the spatial can be observed? (How) can traditional sociological or geographical methods be adjusted to address spatial problems within sociology?

(3) Which sampling strategies are appropriate for spatial problems?

(4) Which strategies of data analysis are appropriate for spatial analysis?