Creates niches for each organization within each ecology. Niches are hypercubes in euclidean space that define the area a member-seeking organization is likely to recruit members from. Consider a given organization: its members have various traits such as age, income, and work experience. We find the mean point in n-dimensional space for an organization. For each dimension, we extend dev.range*SD out from this mean in both positive and negative directions. Doing this for each dimension defines the niche for the given organization within the given ecology.
Once we define niche dimensions, we examine the demographic information for each individual and indicate whether the individual is inside the niche. This information is stored in the matrix blauObject$isInNiche.
Each ecology may have different niche boundaries for a given organization. This heterogeneity is important for examining how different organizations recruit in different ecologies (e.g. cities, schools, etc.).