Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7548559 | Statistics & Probability Letters | 2018 | 5 Pages |
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
Roger Bivand, Konstantin Krivoruchko,