Dasymetric mapping is a technique for disaggregating data to more accurately reflect actual distributions and reduce MAUP issues. Ancillary data, such as land use, can be included in the process to influence this redistribution. This talk will cover dasymetric mapping of census data that was performed as part of my Geospatial Technologies master's program project. Block group level census data for several categories from the 2015 American Communities Survey (ACS) were remapped across Washington State with the goal of creating more accurate residential population distributions. These results were then used to analyze Congressional districts in an attempt to look at "community" through the lens of districts. The talk will focus on the processes and techniques employed.
