Nomothetic geography revisited: Statistical distributions, their underlying principles, and inequality measures
Abstract
The paper focuses on some issues related to regularities in the statistical distributions of various social and environmental phenomena. Firstly, an older concern with statistical distributions of complex systems is revisited in order to exemplify surprisingly similar findings obtained across different disciplines.
This interest has also been reflected in geography with a lot of activity given to the documentation and classification of the regularities but less to their explanations. As such, in the second part, some basic examples of general (statistical rather than context-specific) underlying principles for considered types of distributions are mentioned.
The third part addresses related question of the measurement of inequality, which is the most commonly studied quantitative aspect of a statistical distribution. The performance of selected parametric measures of inequality is tested with respect to data coming from differently skewed distributions.