On the notion of ‘bandwidth’ in geographically weighted regression models of spatially varying processes

Fotheringham, A. S., Yu, H., Wolf, L. J., Oshan, T. M. and Li, Z. (2022) On the notion of ‘bandwidth’ in geographically weighted regression models of spatially varying processes. International Journal of Geographical Information Science, 36(8), pp. 1485-1502. (doi: 10.1080/13658816.2022.2034829)

Abstract

Models designed to capture spatially varying processes are now employed extensively in the social and environmental sciences. The main strength of such models is their ability to represent relationships that vary across locations through locally varying parameter estimates. However, local models of spatial processes also provide information on the nature of these spatially varying relationships through the estimation of a ‘bandwidth’ parameter. This paper examines bandwidth at a conceptual, operational and empirical level within the framework of geographically weighted regression, one of the more frequently employed local spatial models. We outline how bandwidth relates to three characteristics of spatial processes: variation, dependence and strength.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Li, Dr Ziqi
• Authors: Fotheringham, A. S., Yu, H., Wolf, L. J., Oshan, T. M., and Li, Z.
• College/School: College of Science and Engineering > School of Geographical and Earth Sciences
• Journal Name: International Journal of Geographical Information Science
• Publisher: Taylor and Francis
• ISSN: 1365-8816
• ISSN (Online): 1365-8824
• Published Online: 07 March 2022
• Copyright Holders: Copyright © 2022 Informa UK, trading as Taylor and Francis Group
• First Published: First published in International Journal of Geographical Information Science 36(8): 1485-1502
• Publisher Policy: Reproduced in accordance with the publisher copyright policy