This paper introduces a method for the analysis of regional linguistic variation. The method identifies individual and common patterns of spatial clustering in a set of linguistic variables measured over a set of locations based on a combination of three statistical techniques: spatial autocorrelation, factor analysis, and cluster analysis. To demonstrate how to apply this method, it is used to analyze regional variation in the values of 40 continuously measured, high-frequency lexical alternation variables in a 26-million-word corpus of letters to the editor representing 206 cities from across the United States.
Bibliographical note© Cambridge University Press
- regional linguistic variation
Grieve, J., Speelman, D., & Geeraerts, D. (2011). A statistical method for the identification and aggregation of regional linguistic variation. Language Variation and Change, 23(2), 193-221. https://doi.org/10.1017/S095439451100007X