I'm mining social networks point data to use with GIS (Geographic information system). Obviously there are going to be more posts in areas with higher population which, if uncorrected, would end up resulting in a generalized population map. I'm trying to figure out how one may account for this bias. Would it be as simple as accounting for the population of that area? I have pretty fine-scale population counts (census block groups) which would allow for this. Could I take the inverse of the population (1/pop) so that areas with higher population have a lower weight (I'm planning on creating a kernel density map)?