Analyzing Southern California Residential Real Estate Prices: A Spatio-Temporal Approach

This project focused on examining housing price changes from 2000 to 2009 in Los Angeles, Orange, Riverside, and San Bernardino counties in Southern California. In particular, the project sought to detect the spatio-temporal autocorrelation of residential pricing across different counties, cities, and neighborhoods over the 10-year period. A set of GIS tools was implemented to clean and prepare the raw data for multivariate Moran and Local Indicators of Spatial Association analysis. The findings from the analysis will enhance readers’ understanding of the real estate market in the study area and help better predict the spatio-temporal patterns of housing price changes in the future