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Full-Text Articles in Geology
Developing The Housing Attribute And Spatial Index (Hasi) Tool To Identify Characteristic Neighborhoods Using Variable Importance Factors Calculated Utilizing Random Forest Regression Modeling In Arcgis Pro, William A. Wallace
Master's Theses
The purpose of this research is to examine the functionality in utilizing Random Forest Regression (RFR) Variable Importance (VI) values in characterizing neighborhoods based on the attributes of existing housing units by creating an automated GIS tool. An important concept that has been implemented in the past in real-estate valuation is the concept of Hedonic Price Modeling (HPM), which uses regression techniques to identify the impacts that individual attributes have on the cost of a good in a heterogenous market outside of mere utility. The benefit of this research is to produce a tool that automates the RFR process such …