Summary
Contents
Subject index
NEW TO THIS EDITION: New material on making and using maps as a method of displaying and collecting data is included. Updated material that deals with a wider range of straightforward spatial models, including those which combine time and spatial dependence has been incorporated. All of the literature and examples have been updated. Code is now hosted on the author created online repository, along with data and other materials. KEY FEATURES: This book assumes no prior knowledge and is geared toward social science readers, unlike other volumes on this topic. The text illustrates concepts using well known international, comparative, and national examples of spatial regression analysis. Each example is presented alongside relevant data and code, which is also available on an online repository maintained by the authors.
Interdependency Among Observations
Interdependency Among Observations
Interaction and Social Science
In this chapter, we examine how insights from spatial analysis can help researchers take dependence between observations into account and deal with spatially clustered phenomena. The term spatial has a broad meaning in this context. On the one hand, space can refer to conventional forms of geographical distances. At the same time, one can also expand the concept of space to the myriad ways in which observations may be connected. This includes forms of social connectivities beyond networks defined purely by geographical proximity. The term social can be defined in terms of ...
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