The simplest numerical approach for computing the gini index is based on the relative deprivation method which does not require ranking observation by increasing order of income values.
This occurs because the percentiles are calculated for fairly small samples in many instances (since they are computed for city-month cells), so there are often large numbers of ties in the rankings of observations.
While in some cases the profile of a mediating TF scores high on both Z-score and Fisher score rankings, empirical observations indicate that the two metrics can differ substantially.
For free-listing, ranking, and direct observation, we used five data collectors from the study area who were trained in the methods.
With regard to educational level, the majority of mothers who participated in the key informant interviews, free-listing, ranking, and direct observation attended elementary school, but almost half of those did not complete their education there.
The interviews were undertaken throughout the study period, and the information was used to determine the overall feeding situation; it was also used to confirm and elicit further details after data from other methods, such as free-listing, ranking, and direct observation, were obtained.
For reasons of comparability, the ranking in countries with observations for fewer than 16 occupations was scaled between 1 and 16.
Perception rankings confirm this observation.
As an example application, we estimate performance rankings of landscape freeze/thaw (FT) observations derived from model soil temperatures, in-situ station air temperatures and satellite-observed microwave brightness temperatures in Alberta and Saskatchewan, Canada.
Similar observations and similar rankings were obtained with the real and simulated datasets.
