README.md

Scripts for testing R-package sdcSpatial on population grid cells

Scripts to apply R-Package sdcSpatial on population grids. First install needed packages:

install.packages(c("data.table","terra","sf","raster","sdcSpatial", "dplyr", "tidyr", "ggplot2", "viridis", "spatstat", "SpatialKWD"))

Example Austrian dummy data

Run script AT_generate_data.R which generates a random population based on the cell grids from Austria (see https://data.statistik.gv.at/web/meta.jsp?dataset=OGDEXT_RASTER_1). This data set is the input for the script AT_sdcSpatial_Examples.R which goes through the following steps:

• Load needed libraries
• Load dummy population data
• Define "raster"-object for grid cells to be used with sdcSpatial
• Define sdc_raster object using population data and raster-object from before
• Check sensitive cells
• Apply protection method; check sensitive cells again and suppress if necessary
• Get protected table and apply information loss function, look at HD and KWD

Example German data

2 scripts are supplied:

DE_read_data.R can be run to recreate pop_data_DE.RData DE_sdcSpatial_Examples.R runs sdcSptial experiments on pop_data_DE.RData

DE_read_data.R

• creates geocoded microdata from published 2011 census results for test purposes
• test area is one of the German federal states (can be chosen in the script)
• outputs: pop_data_DE.RData (stored default: Schleswig-Holstein)
• needs the following data: a) German population aggregates on 100m grid source: https://www.zensus2011.de/SharedDocs/Downloads/DE/Pressemitteilung/DemografischeGrunddaten/csv_Bevoelkerung_100m_Gitter.zip b) 100m grid definitions for Germany source: https://gdz.bkg.bund.de/index.php/default/open-data/geographische-gitter-fur-deutschland-in-lambert-projektion-geogitter-inspire.html c) 100km grid definitions for Germany (to select chunks of the 100m grid) source: https://gdz.bkg.bund.de/index.php/default/open-data/geographische-gitter-fur-deutschland-in-lambert-projektion-geogitter-inspire.html d) shapefile for German federal states (in UTM32) https://daten.gdz.bkg.bund.de/produkte/vg/vg250_ebenen_0101/aktuell/

DE_sdcSpatial_Examples.R

• run the actual sdcSpatial experiments and utility analyses
• inputs: pop_data_DE.RData