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Income is consistently shown to be a good predictor of consumption-based household greenhouse gas emissions. Within a wider research project aiming to understand changes in household emission patterns over time and across UK neighbourhoods, this paper aims to explore the spatial-temporal patterns of the relationship between consumption-based emissions of UK neighbourhoods and income between the years 2007-2017. In light of job losses and income cuts as a result of the COVID-19 pandemic, this research allows us to predict how consumption-based emissions may have changed as a result of the pandemic.
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\r\n\r\nGISRUK is the largest academic conference in Geographic Information Science in the UK. Since 1993, GISRUK has attracted international researchers and practitioners in GIS and cognate fields, including geography, computer science, data science, and urban planning to share the latest advances in spatial computing and analysis.
\r\n\r\nThe conference will cover all aspects of theoretical and applied geographical information science, but this year we will also have special sessions for papers which focus on aspects of the COVID19 pandemic, including ways of mapping the spread of the disease and spatially analysing the variation in its impact on such things as mobility, social inequalities and the outcomes of interventions such as stay at home orders.
\r\n\r\nConference proceedings of all accepted papers will be made available online
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