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|
|Publisher||TU Delft - 4TU.ResearchData|
|Date of data production||1 Jun 2014 - 1 Sep 2015|
|Geographical coverage||Rotterdam - in-habitat areas|