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Point pattern analysis of star dunes in Ar Rub ' al Khali de-sert, Saudi Arabia: The application of spatial statistics to the understanding of dune field self -organization

机译:Ar Rub中星沙丘的点模式分析“Al Khali De-Sert,沙特阿拉伯:空间统计对沙丘田自我制成的理解

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The self-organization of natural landforms measured by the Rstatistic presents a perspective on the geography of star dunes and provides quantitative methods to measure the degree of self -organization. Star dunes are dunes which are most complex in their form in comparison to other dune types (crescentic, barchanoid) and are results of complex or multi-directional wind regimes, hence their complex form. This study examines the geography of star dune patterns for the Ar Rub" al Khali sand sea on the Arabian Peninsula. The nearest neighbour performs an analysis on the pattern of points and classifies the distribution as clustered, random or dispersed. The spatial statistical tools such as the nearest neighbour gives a benchmark in the measurement and understanding of distribution of natural landforms and the environmental factors that influence such behaviour.
机译:由艺术性测量的自然地貌的自我组织在星沙丘的地理上提出了一种观点,并提供了测量自我制作程度的定量方法。与其他沙丘类型(Crescenc,Barchanoid)相比,Star Dunes是其形式最复杂的沙丘,并且是复杂或多向风制度的结果,因此它们的复杂形式。本研究审查了阿拉伯半岛的Ar Rum“Al Khali沙海的星沙丘模式的地理。最近的邻居对点的模式进行分析,并将分布分类为聚类,随机或分散。空间统计工具由于最近的邻居在测量和理解自然地貌分布和影响这种行为的环境因素中提供基准。

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