hyperregions
Hyperregions represent a concept in data analysis and visualization used to identify and delineate areas of high statistical significance or distinct patterns within a dataset. These regions are not predefined geographical boundaries but are instead derived directly from the data itself. The identification of hyperregions typically involves applying statistical tests or clustering algorithms to spatial data, aiming to find clusters of points that exhibit a particular characteristic or deviate significantly from the background noise.
The purpose of identifying hyperregions is to highlight areas of interest that might otherwise be obscured.
Visualizing hyperregions often involves overlaying the identified areas onto a map or a relevant spatial representation