Using geographically weighted models to explore how crowdsourced landscape perceptions relate to landscape physical characteristics

Chang Chien, Y-M, Carver, S orcid.org/0000-0002-4202-8234 and Comber, A orcid.org/0000-0002-3652-7846 (2020) Using geographically weighted models to explore how crowdsourced landscape perceptions relate to landscape physical characteristics. Landscape and Urban Planning, 203. 103904. ISSN 0169-2046

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).
Keywords: Landscape character assessments; Crowdsourcing; Wildness; Scenic-Or-Not
Dates:
  • Accepted: 23 July 2020
  • Published (online): 6 August 2020
  • Published: November 2020
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)
Funding Information:
FunderGrant number
NERC (Natural Environment Research Council)NE/S009124/1
Depositing User: Symplectic Publications
Date Deposited: 29 Jul 2020 10:48
Last Modified: 08 Sep 2020 12:40
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.landurbplan.2020.103904

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