This repository is dedicated to the application of the SDC methods implemented in the R-packages included in SDC-tools to two types of census data of high resolution: small geospatial areas and grid-cell areas. A Working Paper has been published based on results for the Icelandic small output areas data. A paper describing new SDC experiments at SI, based on Bayesian and deep learning methods for risk estimation and limitation was presented at the 2025 UNECE meeting on Statistical Confidentiality.