Local modeling: one size does not fit all
Keywords:local modeling, spatial context, process nonstationarity
This editorial piece considers what happens when we abandon the concept that models of social processes have global application in favor of a local approach in which context or the influence of 'place' has an important role. A brief history of this local approach to statistical modelling is given, followed by a consideration of its ramifications for understanding societal issues. The piece concludes with futures challenges and prospects in this area.
Copyright (c) 2020 A. Stewart Fotheringham
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