Local modelling: one size does not fit all

Authors

A. Stewart FotheringhamFollow

Abstract

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.

Recommended Citation

Fotheringham, A. Stewart (2020) "Local modelling: one size does not fit all," Journal of Spatial Information Science: No. 21, 83-87.
DOI: http://dx.doi.org/10.5311/JOSIS.2020.21.726
Available at: https://digitalcommons.library.umaine.edu/josis/vol2020/iss21/9