坡位的分类及其空间分布信息的定量化

Taxonomy of Slope Positions and Quantification of Their Spatial Distribution Information

摘要: 综合分析了目前不同的坡位分类系统,提出了坡位的二级分类系统。为了能够进一步定量描述自然界中普遍存在的坡位间的渐变现象,针对现有的坡位空间渐变信息定量化方法中忽视空间位置信息等不足之处,介绍了基于典型位置相似度的模糊推理方法。以东北平缓地形条件的实验小区为例,本方法被用于提取本文给出的11类坡位间的定量渐变信息。结果表明,本文所介绍的坡位分类系统以及坡位空间分布信息定量化方法是合理的和有效的。

Abstract: A two-level taxonomy of slope positions is presented,and a fuzzy inference approach based on similarity to the typical locations to fulfilling the quantification of the spatial gradation between slope positions is proposed,which is normal phenomenon in nature.The new approach overcome a lot of some shortcomings(e.g.,neglecting spatial information) in current approaches to quantifying the spatial gradation of slope positions,and is applied to quantifying the spatial distribution of slope positions with a fuzzy manner.The results show that both the two-level taxonomy and our proposed approach are reasonable.