Assessing the influence of the modifiable areal unit problem on Bayesian disease mapping in Queensland, Australia
Farzana Jahan,
Shovanur Haque,
James Hogg
et al.
Abstract:Background Spatial data are often aggregated by area to protect the confidentiality of individuals and aid the calculation of pertinent risks and rates. However, the analysis of spatially aggregated data is susceptible to the modifiable areal unit problem (MAUP), which arises when inference varies with boundary or aggregation changes. While the impact of the MAUP has been examined previously, typically these studies have focused on well-populated areas. Understanding how the MAUP behaves when data are sparse i… Show more
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