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Mapping and predicting urban heat island intensity hotspots through a space–time machine learning framework in Bangladesh

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Bibliographic Details
Published in:Computational Urban Science
Format: Online Article RSS Article
Published: 2026
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container_title Computational Urban Science
description
discipline_display Environmental Sciences
discipline_facet Environmental Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:29108
institution FRELIP
journal_source_facet Computational Urban Science
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Mapping and predicting urban heat island intensity hotspots through a space–time machine learning framework in Bangladesh
— — — — — Estate, Housing and Urban Planning
Environmental Management
Environmental Sciences
sub_discipline_display Environmental Management
sub_discipline_facet Environmental Management
subject_display — — — — — Estate, Housing and Urban Planning
Environmental Management
Environmental Sciences
— — — — — Estate, Housing and Urban Planning
Environmental Management
Environmental Sciences
subject_facet — — — — — Estate, Housing and Urban Planning
Environmental Management
Environmental Sciences
title Mapping and predicting urban heat island intensity hotspots through a space–time machine learning framework in Bangladesh
title_auth Mapping and predicting urban heat island intensity hotspots through a space–time machine learning framework in Bangladesh
title_full Mapping and predicting urban heat island intensity hotspots through a space–time machine learning framework in Bangladesh
title_fullStr Mapping and predicting urban heat island intensity hotspots through a space–time machine learning framework in Bangladesh
title_full_unstemmed Mapping and predicting urban heat island intensity hotspots through a space–time machine learning framework in Bangladesh
title_short Mapping and predicting urban heat island intensity hotspots through a space–time machine learning framework in Bangladesh
title_sort mapping and predicting urban heat island intensity hotspots through a space–time machine learning framework in bangladesh
topic — — — — — Estate, Housing and Urban Planning
Environmental Management
Environmental Sciences
url https://link.springer.com/article/10.1007/s43762-026-00249-6