Abstract:To solve the problems of the traditional gridding method, i.e., its relatively large computational error and low computational efficiency, in this work, we propose a new GIS-based method that uses DEM data, land data, and basic geographic data to extract various influence factors such as topography and landform.Using the sum of the construction area and land-use classification data, we establish a multiple linear regression model and obtain the distribution of buildings on a 50-mm grid scale.We then determine the correlation between the POI data and the building space to establish a spatial distribution model for post-earthquake repaired buildings.The experimental results show that the proposed method effectively reduces calculation error and improves calculation efficiency.