Geospatial Market Valuation Regression Model

Create an advanced regression model in Google Sheets that predicts property valuations using geospatial machine learning techniques. Integrate external data sources like crime rates, school district rankings, proximity to amenities, and historical transaction data. Develop a predictive algorithm using multiple regression techniques that can estimate property values with less than 10% margin of error. Include visualization components that map predictive confidence intervals across different neighborhood clusters.