Description
Method: The atlas identifies the social features that have been designated in previous research projects as possible causes of heat-related problems. Hierarchical multiple regression analyses were used to establish which of these are statistically significant in the case of Rotterdam: the number of those aged 75 and over per hectare, the average age of the buildings, the sum of sensible heat and ground heat flux. A cluster analysis was used to identify the links between these features. Results: This results in six clusters (or typologies) that are shown here on the map with different colours, together with a table explaining the underlying values.
Date made available | 2015 |
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Publisher | TU Delft - 4TU.ResearchData |
Date of data production | 1 Jun 2014 - 1 Sep 2015 |
Geographical coverage | Rotterdam - in-habitat areas |
Datasets
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Hotterdam: Urban heat in Rotterdam and health effects
Wandl, A. (Creator) & van der Hoeven, F. D. (Creator), TU Delft - 4TU.ResearchData, 2015
DOI: 10.4121/UUID:BE41B523-1F1A-4F46-82D1-09C2C24F357B
Dataset/Software: Dataset