I'm using Gini coefficient and Lorenz Curve plots to show the accumulation of beneficiaries in ecosystem services (ES) supply points, in R. I classify ES into three categories and calculate Gini and Lorenz curve for each category. However, the highest value doesn't correspond with the biggest area in the plot. Why is this happening?
You can get the R script and the dataframe here: https://stats.stackexchange.com/questions/463202/gini-values-are-not-corresponding-with-lorenz-curve-area
I also attach the plot of Lorenz curve. The values of Gini coefficient I got are:
Regulating = 0.3671459
Provisioning = 0.3190629
Cultural = 0.3041803
However, in the Lorenz Curve, the biggest area corresponds to provisioning category.
Thank you!
I found my mistake. My df has not two parameters for Gini coefficient since 'id_hub' is always 1 (it's a factor, indeed), so 'x' must be 'Freq' and 'parameter' left without specification. The fixed script is in the link that I attached on the question.
The attached slide(s) and tutorial from FAO shall give you a clarity on the Gini index computation.
http://www.fao.org/docs/up/easypol/329/gini_index_040en.pdf
- Badges
- Science topic
- Similar topics
- Condensed Matter Physics
- Zero