Regression model with GIS application in land valuation in Nghe An, Vietnam

Abstract In determining the financial responsibilities of land users to the State and calculating compensation when the State acquires land, valuation is essential. The objective of the research is to apply a regression model combined with GIS technology to produce a land value zones map in a ward of Nghe An province, as well as a mass land valuation model. 194 successfully traded land plots and 392 survey samples are used in a multivariate regression analysis for this research. According to the findings, there are ten local land price-influencing factors, and there is a 10% maximum difference between the model’s predicted and real land prices. From there, the authors make a map about the local land value region with five sub-regions, in which the highest land value sub-regions are situated along the Binh Minh Road that passes through the ward.