Performs stratified random sampling on specific regions of a grid. Sampling is weighted by an additional layer (i.e population density). In our case, the sample values represent spatial-based infected counts (infected hosts), for specific regions (i.e an administrative level) of a grid.
The population density layer random generates values within a global min (== 0) and max. In some locations, it samples from a local min/max, to represent dense cities. So, for a specific cell range of a range, the population densities are progressively being accumulated in a series of natural numbers - to - cell index. Randomly sampling from that series, can approach the real population densities.
Some grid/cell/sampling values are being configurable. Results are being represented in image format. Colors are scaled to min/max values of blue for population densities and of red for infected host samples. Strata are being outlined with black.