Principle 2, Principle 3, Principle 5, geographies, grid, administrative geographies, statistical geographies, DGGS, OGC standards, INSPIRE, R
Geography has long been played an important role in statistics, especially using different types of geographies for the collection, production, dissemination and visualisation of statistics. Thus, in the statistical domain, data are collected and disseminated at different geographic levels. However, there are still a lot of issues that need to be addressed to get a streamlined system to produce statistics across different territorial levels, related to regional breakdowns and data comparisons on the regional level.
This paper gives an overview of different types of output geographies. Furthermore, it presents some methodological routines related to the use of output geographies in statistical production and discusses challenges of preserving privacy in data when using multiple, non-nested geographies.
The whole use case is here