Spatializing household energy consumption in the Netherlands: socioeconomic, urban morphology, microclimate, land surface temperature and vegetation data
Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932, Stead, Dominic and van Timmeren, Arjan
(2020)
Spatializing household energy consumption in the Netherlands: socioeconomic, urban morphology, microclimate, land surface temperature and vegetation data.
Data in Brief, 29:105118.
ISSN 2352-3409 (Online)
(doi:10.1016/j.dib.2020.105118)
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50045 MASHHOODI_Spatializing_Household_Energy_Consumption_In_The_Netherlands_Socioeconomic_Urban_Morphology_Microclimate_Land_Surface_Temperature_And_Vegetation_Data_(OA)_2020.pdf - Published Version Available under License Creative Commons Attribution. Download (203kB) | Preview |
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Abstract
Household energy consumption (HEC) is affected by a variety of determinants. In addition to the level of HEC in 2612 residential zones in the Netherlands (the so-called wijk) in 2014, this dataset provides a geographically-referenced data of 11 determinants of HEC on: (1) socioeconomic characteristics - namely income per capita, household size, population density; (2) urban morphology –namely buildings' surface to volume ratio, building age; (3) microclimate factors –namely number of summer days, number of frost days, humidity, wind speed at 10 m height; (4) land surface temperature; (5) normalized difference vegetation index (NDVI). The dataset is initially prepared for an analysis titled as “Land surface temperature and households' energy consumption: who is affected and where?” [1].
Item Type: | Article |
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Uncontrolled Keywords: | household energy consumption, land surface temperature, micro climate, urban morphology, vegetation, socioeconomic characteristics, Netherlands |
Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences H Social Sciences > H Social Sciences (General) Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) |
Last Modified: | 18 Mar 2025 14:32 |
URI: | http://gala.gre.ac.uk/id/eprint/50045 |
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