  This study proposes an innovative approach to analyze spatial patterns of
behavior by integrating information in weighted Voronoi diagrams. The objective
of the research is to analyze the temporal distribution of an experimental
subject in different regions of a given space, with the aim of identifying
significant areas of interest. The methodology employed involves dividing the
experimental space, determining representative points, and assigning weights
based on the cumulative time the subject spends in each region. This process
results in a set of generator points along with their respective weights, thus
defining the Voronoi diagram. The study also presents a detailed and advanced
perspective for understanding spatial behavioral patterns in experimental
contexts.
