基于SOFM网络的环嵩山地区史前聚落规模等级研究(英文)

编号 zgly0001585253

文献类型 期刊论文

文献题名 基于SOFM网络的环嵩山地区史前聚落规模等级研究(英文)

作者 鲁鹏  田燕  杨瑞霞 

作者单位 CollegeofUrbanandEnvironmentalSciences  PekingUniversity  InstituteofGeography  HenanAcademyofSciences  CenterforEarthObservationandDigitalEarth  CAS 

母体文献 Journal of Geographical Sciences 

年卷期 2013年03期

年份 2013 

分类号 TP18  K901.8 

关键词 SOFM  Circum-Songshanarea  prehistoricsettlement  clusteranalysis  size-grade 

文摘内容 Choosing site area, cultural layer thickness, significant relics and significant remains as the variables, we applied cluster analysis to the ancient settlements of four cultural periods, respectively, which were Peiligang, Yangshao, Longshan and Xiashang, in 9000-3000 a BP, around Songshan Mountain. Through application of the SOFM (self-organizing feature map) networks, every type of ancient settlements was classified into different size-grades. By this means, the Peiligang settlements were divided into two grades, Yangshao and Longshan settlements were divided into three grades, respectively, and Xiashang settlements were divided into four grades. The results suggested that the size-grade diversity of ancient settlements was not significant during the Peiligang period in this area. Around the middle-late Yangshao period (5000 a BP), the size-grade diversity of ancient settlements began to appear, a process that continued during the Longshan period and finally matured in the Xiashang period. Moreover, the results reflected the regional differences in cultural characteristics in a particular period, which were mainly represented in that there were three Peiligang cultural systems distributed in different areas. Such differences also existed in the spatial distributive characteristics between the Xia and Shang cultures. Based on the size-grade study of ancient settlements in the Circum-Songshan area, it was found that the SOFM networks method was very suitable for size-grade classification of ancient settlements, since, using this method, adjacent cells would compete and learn from each other, a benefit that reduced the effect on classification by the inaccuracy of site acreages.