Neighborhood change

Elizabeth Delmelle

Chapter 22 in Handbook of Spatial Analysis in the Social Sciences, 2022, pp 370-383 from Edward Elgar Publishing

Abstract: This chapter introduces several methods use to understand and map processes of neighborhood change. It takes a multidimensional perspective of neighborhoods – one of a bundle of spatially-based characteristics. The chapter begins with an overview of methods that use a classification technique for grouping neighborhoods into discrete typologies and analyzing transitions between classes using a Markov-type analysis. Tests on the assumptions of Markov processes shed light onto the effects of spatial and temporal dependence on neighborhood transitions. Next, a sequence alignment method is discussed as a way to map longitudinal pathways of neighborhood change. The spatial patterns of neighborhood typologies are analyzed using a multi-group join count statistic and a landscape metric of fragmentation. Finally, alternate methods for studying neighborhood change are discussed including the self-organizing map and recent advancements in the field.

Keywords: Development Studies; Economics and Finance; Environment; Geography; Research Methods; Sociology and Social Policy; Urban and Regional Studies (search for similar items in EconPapers)
Date: 2022
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