郑洛地区史前聚落遗址环境驱动因子分析

发布时间：2018-11-02 15:29

【摘要】：在史前聚落遗址研究中,不同研究区的聚落遗址在空间和时间尺度上差异较大,较难获取一致性的分级评定标准。该文使用K均值聚类法代替专家打分过程,辅以图像分析和SPSS数据探索百分位法并加以调整,对郑洛地区史前聚落遗址所在的地貌、土壤、坡向、坡度和高程因子进行分析,确定各因子分级标准和等级值。研究结果表明:地貌、土壤、坡向、坡度、高程5个因子在4个文化时期分别基于遗址数高低的自然K均值聚类形成适宜度高、较高、中、较低、低5个等级。地貌、土壤的偏好顺序在3个相邻时期的相关性系数逐渐升高并放缓,即史前人类遗址对其优先选择度逐渐产生固化;史前人类对丘陵地貌类型的选择度不断下降,对黄土梁塬、褐土、东南坡向的选择由少变多,对黄土台塬、两合土、缓坡的偏向度一直处于较高水平。该文成果对于用现代的地貌、土壤数据研究史前聚落遗址分布以及对新遗址发掘具有参考价值。
[Abstract]:In the study of prehistoric settlement sites, there are great differences in space and time scales between the settlement sites in different study areas, so it is difficult to obtain consistent grading evaluation criteria. In this paper, K-means clustering method is used to replace the expert scoring process, and image analysis and SPSS data exploration percentile method are used to analyze the landform, soil, slope direction, slope degree and elevation factor of the prehistoric settlement site in Zhengluo area. Determine the grading criteria and rating values of each factor. The results show that five factors of landform, soil, direction, slope and elevation are suitable for forming natural K-means clustering based on the number of sites in four cultural periods, respectively, with high, middle, low and low levels. Geomorphology, soil preference order gradually increased and slowed down in the three adjacent periods, that is, prehistoric human sites to its priority degree of selection gradually solidified; Prehistoric people's choice of hill landform type has been decreasing, the choice of slope direction of loess plateau, cinnamon soil and southeast slope has changed from less to more, and the deviation degree of gentle slope has been at a higher level for loess tableland, two soil and gentle slope. The results of this paper are valuable for the study of the distribution of prehistoric settlement sites and the excavation of new sites with modern geomorphology and soil data.
【作者单位】：南京信息工程大学地理与遥感学院;
【基金】：国家自然科学基金项目(41071253、41271410)
【分类号】：K878;P531

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