基于GIS的震后修复建筑物空间分布格网化方法研究

针对传统格网化方法存在计算误差较大、计算效率较低等问题，提出一种新的方法——基于GIS的震后修复建筑物空间分布格网化方法。利用DEM数据、土地数据以及基础地理数据等，提取地形、地貌等各种影响因子。利用建筑面积总和以及土地利用分类数据进行多元线性回归建模，获取50 mm格网尺度下的建筑分布，利用POI数据与建筑空间的相关性，引入四叉树获取最高中心点集，在上述基础上构建格网震后修复建筑物空间分布模型，完成震后修复建筑物空间分布。实验结果表明，所提方法可有效降低计算误差，提高计算效率。

GIS-based Gridding Method for Spatial Distribution of Post-earthquake Repaired Buildings

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.