ABSTRACT
Pollen time-series can be considered as being generated by biological system with inherently nonlinear dynamics. The purpose of this paper is to characterize the several pollinic stations using the fractal dimension. In our research, it was computed in MATLAB®, over data obtained in Murcia, Spain. The fractal dimension is a measure of signal complexity that can characterize different pollinical stations. We used the method suggested by Katz, that it’s derived directly from the waveform. The results prove the existence of chaos in the pollen time series and the utility of fractal dimension to distinguish the several periods of pollinic activity.
