Ana Petrovic publishes in prestigious American scientific journal

The innovative element of the article is that the population data are analyzed on different scale levels in order to investigate segregation processes. The spatial distribution of non-Western ethnic minorities in three Dutch cities is examined. This approach is part of testing usability of advanced and customized environmental characteristics to measure the effects of different types of neighborhoods.

Abstract 'Multiscale Measures of Population: within- and between City Variation in Exposure to the Sociospatial Context.' 
Appreciating spatial scale is crucial for our understanding of the sociospatial context. Multiscale measures of population have been developed in the segregation and neighborhood effects literatures, which have acknowledged the role of a variety of spatial contexts for individual outcomes and intergroup contacts. Although existing studies dealing with sociospatial inequalities increasingly explore the effects of spatial scale, there has been little systematic evidence on how exposure to sociospatial contexts changes across urban space, both within and between cities. This article presents a multiscale approach to measuring potential exposure to others. Using individual-level register data for the full population of The Netherlands and an exceptionally detailed multiscalar framework of bespoke neighborhoods at 101 spatial scales, we measured the share of non-Western ethnic minorities for three Dutch cities with different urban forms. We created individual and cumulative distance profiles of ethnic exposure, mapped ethnic exposure surfaces, and applied entropy as a measure of scalar variation to compare potential exposure to others in different locations both within and between cities. The multiscale approach can be implemented for examining a variety of social processes, notably segregation and neighborhood effects.

Read the article: https://doi.org/10.1080/24694452.2017.1411245