Predicting residential building age from map data

Rosser, J.F., Boyd, D.S., Long, G. et al. (3 more authors) (2018) Predicting residential building age from map data. Computers, Environment and Urban Systems. ISSN 0198-9715

Abstract

Metadata

Authors/Creators:
  • Rosser, J.F.
  • Boyd, D.S.
  • Long, G.
  • Zakhary, S.
  • Mao, Y.
  • Robinson, D.
Copyright, Publisher and Additional Information: © 2018 Elsevier. This is an author produced version of a paper subsequently published in Computers, Environment and Urban Systems. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Building age; Energy modelling; Prediction; Classification optimisation; MasterMap; Digital Surface Model
Dates:
  • Accepted: 9 August 2018
  • Published (online): 13 September 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 05 Oct 2018 14:33
Last Modified: 13 Sep 2020 00:38
Published Version: https://doi.org/10.1016/j.compenvurbsys.2018.08.00...
Status: Published online
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.compenvurbsys.2018.08.004

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