Enhancing Poincare plot information via sampling rates

Poincare plots of a continuous solution of the logistic equation at different sampling rates are studied. The study uses the continuous solution obtained for the parameter A = 4 in the logistic equation. This solution of the logistic equation used in this study provides a useful handle to study sampling effects and at the same time look at a system which exhibits complex correlations. The results of this study show that the Poincare plots of a continuous function at different sampling rates provide valuable information about the complex correlations present in the system. This additional information provided by the Poincare plots of data from a continuous system sampled at different rates will be a useful and simple way of studying correlations present in a real system with applications in biomedicine.