摘要
运用GIS的空间分析功能,借助Logistic回归分析方法构建从化流溪河流域先秦时期遗址分布预测模型,得出遗址分布与海拔等自然地理要素之间的定量关系。结果表明,从化流溪河流域先秦遗址分布受自然因素影响显著,其中河流缓冲区(距河流距离)对遗址分布影响最大,海拔高程、坡度影响次之,坡向则对遗址分布影响甚微。遗址预测模型显示较高概率分布区集中分布于从化流溪河中下游干流、潖江河干流及两侧大型一二级支流两岸;较低概率区集中分布于从化流溪河中下游干流、潖江河远离河道的区域。此外,从化流溪河上游广阔地区除大型河流两岸外,多属于低概率分布区。经Kvamme增益统计方法检验,遗址预测模型能有效识别遗址分布较高概率区,将为未来的考古调查工作提供参考,减少盲目性。
By applying the GIS spatial analysis function,the quantitative relations betweensites distribution and altitude and other natural geographic elements is obtained in this paper by logistic prediction model of Ante-Qin dynasty sites in Conghua Liuxi River basin based on logistic regression analysis.The result shows that Ante-Qin dynasty sites distribution is significantly influenced by the natural elements,the biggest factor of which is river buffer(distance betweensites and river).The altitude and slope come the second.The aspect has very little influence on sites distribution.The sites prediction model shows the higherprobability distribution area is concentrated in the two banks of middle-lower main stream of Conghua Liuxi River and the main stream of Pajiang River and the first or second tributary of Pajiang riverand the lowerprobability distribution area is far from the middle-lower main stream of Conghua Liuxi River and the main stream of Pajiang River.Besides,vast areas of Conghua Liuxi River except the two banks of large rivers shall be low probability distribution areas.Verified by the Kvamme gains statistics method,the sites prediction model can effectively identify the higherprobability distribution,whichprovides reference to the future archaeological research and reduces the blindness.
作者
曹耀文
CAO Yaowen(Guangzhou Municipal Institute of Cultural Heritage and Archaeology,Guangzhou 510006,China)
出处
《测绘与空间地理信息》
2021年第5期124-127,131,共5页
Geomatics & Spatial Information Technology
