Peer-Reviewed Journal Details
Mandatory Fields
L Pforte, C Brunsdon, C Cahalane, M Charlton
2017
Unknown
Environment and Planning B: Planning and Design
Data imputation in a short-run space-time series: A Bayesian approach
Published
()
Optional Fields
This paper discusses a project on the completion of a database of socio-economic indicators across the European Union for the years from 1990 onward at various spatial scales. Thus the database consists of various time series with a spatial component. As a substantial amount of the data was missing a method of imputation was required to complete the database. A Markov Chain Monte Carlo approach was opted for. We describe the Markov Chain Monte Carlo method in detail. Furthermore, we explain how we achieved spatial coherence between different time series and their observed and estimated data points.
DOI: 10.1177/0265813516688688
Grant Details