Economic geography, Geographic base file systems, MRA in assessment
This research uses location-blind model residuals to measure location values among Regina’s neighborhoods. GIS technology has been an excellent tool not only in visualizing the geographical distribution of observed location values but also in modeling estimated subject property location values. GIS-derived data have also been input to the calculation of spatial autocorrelation statistics for testing the spatial consistency of location premiums and penalties. Research results have allowed a clearer spatial picture of location values in Regina. The results will certainly support a more accurate spatial configuration of valuation neighborhoods to be applied in future property reassessments.
Figueroa, Roberto A.
"Modeling the value of location in Regina using GIS and spatial autocorrelation statistics,"
Assessment Journal: Vol. 6:
6, Article 2.
Available at: https://researchexchange.iaao.org/assessment_journal/vol6/iss6/2