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Local modeling in a regression framework

In: Handbook of Spatial Analysis in the Social Sciences

Author

Listed:
  • Mehak Sachdeva
  • Taylor Oshan
  • A. Stewart Fotherington

Abstract

This chapter introduces the concept of local versus global models and describes one type of local model, Geographically Weighted Regression, and its recent successor, Multiscale Geographically Weighted Regression. The conceptual basis for this type of model is explained in terms of data-borrowing. An empirical example is given to demonstrate both the value of local regression models and freely available software for their calibration.

Suggested Citation

  • Mehak Sachdeva & Taylor Oshan & A. Stewart Fotherington, 2022. "Local modeling in a regression framework," Chapters, in: Sergio J. Rey & Rachel S. Franklin (ed.), Handbook of Spatial Analysis in the Social Sciences, chapter 7, pages 123-141, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:19110_7
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