A route map for successful applications of Geographically Weighted Regression

This is the latest version of this eprint.

Comber, A orcid.org/0000-0002-3652-7846, Brunsdon, C, Charlton, M et al. (8 more authors) (2023) A route map for successful applications of Geographically Weighted Regression. Geographical Analysis, 55 (1). pp. 155-178. ISSN 0016-7363

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2022 The Authors. Geographical Analysis published by Wiley Periodicals LLC on behalf of The Ohio State University. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Dates:
  • Published: 18 January 2023
  • Published (online): 9 January 2022
  • Accepted: 29 November 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 04 Jan 2022 16:00
Last Modified: 09 Jan 2025 11:55
Status: Published
Publisher: Wiley
Identification Number: 10.1111/gean.12316
Related URLs:
Open Archives Initiative ID (OAI ID):

Available Versions of this Item

Export

Statistics