GIS 5935 Lab 15: Dasymetric Mapping

Dasymetric mapping is essentially breaking down larger aggregations of data into smaller areas or units. It is often used in population density estimates. For example, it could be the process of taking aggregated statewide population data and breaking it down to the county level. This week's assignment was along those lines. For this analysis, I was to take raster data and use its imperviousness to estimate prospective student populations for eight high schools. This was done by joining the raster's zonal statistics table to census vector data, then running an Ordinary Least Squares analysis on that to determine the estimated population. From there, I had to clip the OLS result to each school boundary and determine its area and new estimated population. The results of my estimated population vs. a reference, "true" population can be seen below:

School	Reference Population	Estimated Population	Error	Abs(Error)
Hagerty	4706	4214	492	492
Lake Brantley	6313	6094	219	219
Seminole	11776	10881	895	895
Winter Springs	5693	3863	1830	1830
Lyman	7853	8477	-624	624
Oviedo	4780	4750	30	30
Lake Howell	8585	6561	2024	2024
Lake Mary	5014	4885	129	129
Total:	54720	49725	4995	6243
Accuracy (%):	11.40899123