A framework for inserting visually-supported inferences into geographical analysis workflow: application to road safety research

Beecham, R orcid.org/0000-0001-8563-7251 and Lovelace, R orcid.org/0000-0001-5679-6536 (Accepted: 2022) A framework for inserting visually-supported inferences into geographical analysis workflow: application to road safety research. Geographical Analysis. ISSN 0016-7363 (In Press)

Metadata

Authors/Creators:
Dates:
  • Accepted: 25 May 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Sustainable Transport Policy (Leeds)
The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Funding Information:
FunderGrant number
Alan Turing InstituteR-SPEU-103
ESRC (Economic and Social Research Council)Not Known
Depositing User: Symplectic Publications
Date Deposited: 31 May 2022 14:50
Last Modified: 31 May 2022 14:50
Status: In Press
Publisher: Wiley

Download

Accepted Version


Under temporary embargo

Filename: roadsafetyvis_ga.pdf

Request a copy

file not available

Share / Export


CORE (COnnecting REpositories)