Chapter 11 Visualizing CH Direct Food security Indicators

Visualizing the phasing of areas in maps and tables according to the different food security indicators can give users a chance to better contemplate/synthesize results during the analysis process. The resources below, offer two methods for visualizing the results: via the Matrice Intermediare (.csv file) or via the processed survey (.sav) file .

11.1 Visualizing CH Direct Food security Indicators from Matrice Intermediare (.csv file)

After survey teams have generated the .csv for thematrice intermediare, the R script below can be used for creating maps and tables of the Food Security Direct Evidence.

11.1.1 Overview video

11.1.2 Example matrice intermediare (.csv file)

Here is the zipped example matrice intermediare (.csv) generated from processes in the last chapter:

matrice_intermediaire_direct_en

11.1.3 Example shapefiles

Here are shape files for Nigeria which will be used to make maps in our example:

NGA_shpfile

11.1.4 Syntax

Here is the syntax to visualize the CH Direct Food security Indicators example_CH_preliminaryFSresults_fromcsv

11.2 Visualizing CH Direct Food security Indicators directly from processed data set

Alternatively, teams can use the R script below to create maps and tables of the Food Security Direct Evidence directly from the processed dataset.

11.2.1 Overview video

11.2.2 Example processed data set

Here is the example processed data set:

exampledataEnglish_processed

11.2.3 Example shapefiles

Here are shape files for Nigeria which will be used to make maps in our example:

NGA_shpfile

11.2.4 Syntax

Here is the syntax to visualize the CH Direct Food security Indicators from the processed dataset:

example_CH_preliminaryFSresults_fromspss

11.3 Troubleshooting & Known issues

  • If the country did not collect all the 5 Food Security Indicators (FCS, HDDS, rCSI, HHS, LhCS) - the modules not collected should be removed from the code
  • If the level of analysis is at the Admin 1 level only - then the variables ADMIN2Name and ADMIN2Code should be removed from the code
  • If the ADMIN1Name and ADMIN2Name were not collected with geocodes (see Chapter 2) then the code will have to be modified
  • If survey weights are used, the variable should be renamed to Weight_HH, if survey weights are not used then the code wt = WeightHH should be removed from the syntax
  • For calculations of the Food Consumption Groups - modify the code to use FCSCat21 for 21/35 thresholds or FCSCat28 for 28/42 thresholds as appropriate.