Article ID Journal Published Year Pages File Type
7548559 Statistics & Probability Letters 2018 5 Pages PDF
Abstract
Following from Krivoruchko and Bivand (2009), we consider some general points related to challenges to the usefulness of big data in spatial statistical applications when data collection is compromised or one or more model assumptions are violated. We look further at the desirability of comparison of new methods intended to handle large spatial and spatio-temporal datasets.
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
Authors
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