Local modeling: one size does not fit all

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper 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 modeling is given, followed by a consideration of its ramifications for understanding societal issues. The piece concludes with future challenges and prospects in this area.

Original languageEnglish (US)
Pages (from-to)83-87
Number of pages5
JournalJournal of Spatial Information Science
Volume21
DOIs
StatePublished - 2020

Keywords

  • local modeling
  • process nonstationarity
  • spatial context

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development
  • Computers in Earth Sciences

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