新石器时代榆林东北部环境宜居性分析

发布时间：2018-04-02 10:03

  本文选题：自组织特征映射模型　切入点：指数模型　出处：《测绘科学》2017年09期

【摘要】：针对榆林东北部地区新石器时代的环境宜居性分布规律进行研究,通过SOFM神经网络模型对研究区聚落等级进行划分,结合地形高程、坡度、坡向、距水系距离、植被覆盖度等因子,构建指数模型。研究结果表明,研究区遗址大都分布在海拔1 000~1 200m、坡度3~9°、距水系距离为0~800m、坡向为阳坡以及植被覆盖度较好的区域,一级聚落均分布在古代环境宜居性较高的区域。与仅使用地形因子建立的指数模型相比,加入植被覆盖度和聚落等级因子的模型对不宜居的沙漠和遗址分布空白区域划分的宜居性等级低,对遗址分布密集的宜居区域划分的宜居性等级高,宜居性等级划分结果与各等级遗址密度分布的客观事实更为吻合,综合因子模型对区域宜居性等级划分更为精确。
[Abstract]:Based on the study of the distribution law of environmental habitability in the Neolithic era in the northeast of Yulin, the settlement grade of the study area was divided by SOFM neural network model, combined with the terrain elevation, slope, slope direction and distance from the river system. The results showed that most of the sites in the study area were distributed at an altitude of 1 000 ~ 1 200 m, with a slope of 3 ~ 9 掳, a distance of 0 ~ 800 m from a river system, and the slope direction was a sunny slope and an area with good vegetation coverage. The primary settlements are distributed in areas with high habitability in ancient environments, and compared with the exponential model established by using only topographic factors, The model with vegetation coverage and settlement grade factor has lower livable grade for uninhabitable desert and site distribution blank area, and higher livability grade for relic dense livable area. The results of livable classification are more consistent with the objective facts of density distribution of sites, and the comprehensive factor model is more accurate for the classification of regional livability.
【作者单位】： 中国科学院遥感与数字地球研究所;中国科学院大学;
【基金】：十二五国家科技支撑计划项目(2013BAK08B06,2015BAK01B01)
【分类号】：K878
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本文编号：1699881