Application of Spatial Analysis Methods for Understanding Geographic Variation of Prices, Demand and Market Success

A dissertation submitted to ETH ZURICH for the degree of Doctor of Sciences, 2010

Michael Löchl

“Spatial analysis is a general term to describe mathematical methods that use locational information in order to better understand processes generating observed attribute values (Fotheringham and Rogerson, 2009, 1). Such techniques are applied in many fields, including biology, epidemiology, ethnology, geography, sociology and statistics. Nevertheless, the nature of the spatial variation of interest is sometimes not well understood and the patterns of spatial dependence and heterogeneity are disregarded. Therefore, this dissertation brings together different applications of spatial analysis methods for understanding geographic variation of certain entities while considering those spatial effects. Additionally, certain spatial analysis, modelling and simulation techniques are examined for solving location problems and informing spatial allocation and deployment of resources. Namely, regression techniques, integrated land use and transport simulation and agent-based modelling approaches are applied in four examples, whereas all those techniques are grounded in spatial analysis.”