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为了更好地指导考古挖掘和理解古人类活动,该文从汾河流域DEM数据中提取高程、坡度、坡向、地形起伏度、地表曲率、距河流距离及距大遗址距离等作为自变量,利用二元逻辑回归建立流域内仰韶时期至夏商时期各时期遗址分布模型,对模型结果进行了定量分析并生成了汾河流域各时期遗址分布概率图,在此基础上对汾河流域人类文化遗址的分布特征进行研究。遗址分布模型总体分类精度较好。遗址分布模型对考古工作及古环境研究具有重要价值,可以为考古工作提供决策支持。
In order to better guide the excavation and understanding of ancient human activities in archeology, this paper takes elevation, slope, aspect, undulating topography, surface curvature, distance from the river and the distance from the large ruins as independent variables in DEM data of Fen River Basin, Using binary logic regression to establish the site distribution model of Yang Shao period to Xia Shang period, and quantitatively analyzing the results of the model and generating the probability distribution map of the sites in Fenhe River Basin during different periods, on the basis of which, Research on the distribution of sites. Site distribution model overall classification accuracy is better. The site distribution model is of great value to archaeological work and paleoenvironment research and can provide decision support for archeological work.