‘Mapping and analysing the impact of spatial data aggregation on urban heat vulnerability maps: A case study on Haarlem, the most petrified city in the Netherlands’

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2025-08-31

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en

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Increasing global temperatures are making the implementation of climate adaptation more crucial than ever before. This is due to the fact that urban areas, in which the majority of earth’s population resides, experience much higher temperatures than its surrounding areas. This phenomena is known as the Urban Heat Island (UHI) effect. Climate Services containing data on climate change and climate adaptation are used to indicate which areas are the most eligible for cooling strategies. This is done with support of vulnerability mapping. However, the way in which data is presented in these maps can affect the interpretation of data. Ultimately, this can affect decision making processes amongst stakeholders who are active in climate adaptive spatial planning. One of the problems that arises during conducting maps with data on climate change is the Modifiable Areal Unit Problem (MAUP). This is a statistical bias resulting in visual and statistical variations depending on the unit of analysis. Therefore, this research aims to create awareness of the effects of spatial data aggregation on vulnerability maps to the UHI effect. With support of multiple mapping scenarios and statistical analyses, the effects of spatial data aggregation are presented. The usability of the maps is assessed with support of semi-structured interviews with stakeholders in climate adaptive spatial planning. This research contributes to the current social and scientifical gaps on climate adaptation and vulnerability mapping. Keywords: Urban Heat Island Effect (UHI), Climate Adaptation, Climate Services, Vulnerability Mapping, Modifiable Areal Unit Problem (MAUP), Spatial Data Aggregation

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Faculteit der Managementwetenschappen