Original Intent: Originally, the following was to be the next phase of the analysis:
  • Reduce data sets to cover Grand Rapids only
  • View data on a census block level
  • Aggregate point data sets up to blocks
  • Disaggregate block group data to the block level
  • Develop a binary segmentation of each data set
  • Create a single index of the multiple data sets
  • Identify blocks that receive a certain score on this index
  • Animate Grand Rapids patterns based on multiple data sets
Revised Intent:
  • Census blocks proved to be too cumbersome at this stage of the project development.  The intent of this research is to develop an abstract prototype model that can be later refined to better fit reality.
  • The use of block groups seemed to produce results that are easier to visualize
  • Revisions can be made later