A semi-automatic approach to study population dynamics based on population pyramids.

ABSTRACT: The depiction of populations - of humans or animals - as 'population pyramids' is a useful tool for the assessment of various characteristics of populations at a glance. Although these visualisations are well-known objects in various communities, formalised and algorithmic approaches to gain information from these data are less present. Here, we present an algorithm-based classification of population data into 'pyramids' of different shapes that can be linked to typical demographic properties. The classification accuracy of the algorithm was tested on over 50,000 population pyramids from 450 mammal species. The approach delivers plausible classifications, in particular with respect to changes in population size linked to specific series of, and transitions between, different 'pyramid' shap

SUBMITTER: Hahn-Klimroth M 

PROVIDER: S-EPMC12450563 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature