This approach has several shortcomings due to limitations of raster data formats. When compared to vectors, the other common geospatial data format, rasters are less precise, hold less information, and are less conducive to smaller area constructs, such as building outlines and parcels, and are less accessible to the broader scientific community because of the special handling required. Given these shortcomings, we propose a vector analytical framework for population modeling. The framework is designed to combine all of the lines defining the input layers so that fields enclosed by those lines (i.e. polygons) are uniformly attributable to each of the input layers. This richer data stack allows for the development of models with more complex logic that are straightforward to implement and explain, as well as increasing the accessibility of modeled estimates and intermediate layers to a broader audience.