A comparative judgment data set on deprivation in subwards in Dar es Salaam, Tanzania.Citizens were shown pairs of subwards at random and asked which was more deprived.If they said they were equal, one of the pair was chosen at random to be more deprived.The data was collected in August 2018. The sex of each judge is also included.
Format
A list with three elements.
- comparisons
A dataframe containing the comparisons. Each row corresponds to a judgement made by a single judge. This differs from the data in the
BBTpackage as it explicitly includes ties rather than randomly allocating a winner. The columns are:- outcome
The outcome of the comparison. 1 if item 2 is the winner, 0 if item 1 is the winner, and 2 if it was a tie (although there are no instances of this happening).
- item1
The first item in the comparison.
- item2
The second item in the comparison.
- sex
The sex of the judge making the comparison.
- wards
A dataframe containing the names and shapefiles of the subwards with columns:
- subwardName
The name of the subward.
- geometry
A list containing the shapefile of the subward.
- adjacencyMatrix
An adjacency matrix of the subwards formed from the shapefiles.This considers subwards as nodes and places edges between adjacent subwards. Two additional edges have been manually included to allow for crossings of the Kurasini creek.
Source
This data set was collected by Madeleine Ellis, James Goulding, Bertrand Perrat, Gavin Smith and Gregor Engelmann. We gratefully acknowledge the Rights Lab at the University of Nottingham for supporting funding for the comprehensive ground truth survey. We also acknowledge HumanitarianStreet Mapping Team (HOT) for providing a team of experts in data collection to facilitate the surveys. This work was also supported by the EPSRC Horizon Centre for Doctoral Training - My Life in Data (EP/L015463/1) and EPSRC grant Neodemographics (EP/L021080/1).