Correction: Modelling urban heat island effects: a global analysis of 216 cities using machine learning techniques

Saved in:
Bibliographic Details
Main Authors: Glenn Kong, Jian Peng, Jonathan Corcoran
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Computational Urban Science
Online Access:https://doi.org/10.1007/s43762-025-00183-z
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849312198583648256
author Glenn Kong
Jian Peng
Jonathan Corcoran
author_facet Glenn Kong
Jian Peng
Jonathan Corcoran
author_sort Glenn Kong
collection DOAJ
format Article
id doaj-art-b2d2b112016e403c8c1a8ac4bac276d7
institution Kabale University
issn 2730-6852
language English
publishDate 2025-05-01
publisher Springer
record_format Article
series Computational Urban Science
spelling doaj-art-b2d2b112016e403c8c1a8ac4bac276d72025-08-20T03:53:11ZengSpringerComputational Urban Science2730-68522025-05-01511510.1007/s43762-025-00183-zCorrection: Modelling urban heat island effects: a global analysis of 216 cities using machine learning techniquesGlenn Kong0Jian Peng1Jonathan Corcoran2School of the Environment, The University of QueenslandCollege of Urban and Environmental Sciences, Peking UniversitySchool of the Environment, The University of Queenslandhttps://doi.org/10.1007/s43762-025-00183-z
spellingShingle Glenn Kong
Jian Peng
Jonathan Corcoran
Correction: Modelling urban heat island effects: a global analysis of 216 cities using machine learning techniques
Computational Urban Science
title Correction: Modelling urban heat island effects: a global analysis of 216 cities using machine learning techniques
title_full Correction: Modelling urban heat island effects: a global analysis of 216 cities using machine learning techniques
title_fullStr Correction: Modelling urban heat island effects: a global analysis of 216 cities using machine learning techniques
title_full_unstemmed Correction: Modelling urban heat island effects: a global analysis of 216 cities using machine learning techniques
title_short Correction: Modelling urban heat island effects: a global analysis of 216 cities using machine learning techniques
title_sort correction modelling urban heat island effects a global analysis of 216 cities using machine learning techniques
url https://doi.org/10.1007/s43762-025-00183-z
work_keys_str_mv AT glennkong correctionmodellingurbanheatislandeffectsaglobalanalysisof216citiesusingmachinelearningtechniques
AT jianpeng correctionmodellingurbanheatislandeffectsaglobalanalysisof216citiesusingmachinelearningtechniques
AT jonathancorcoran correctionmodellingurbanheatislandeffectsaglobalanalysisof216citiesusingmachinelearningtechniques