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 language | English (US) |
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Pages (from-to) | 83-87 |
Number of pages | 5 |
Journal | Journal of Spatial Information Science |
Volume | 21 |
DOIs | |
State | Published - 2020 |
Keywords
- local modeling
- process nonstationarity
- spatial context
ASJC Scopus subject areas
- Information Systems
- Geography, Planning and Development
- Computers in Earth Sciences