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Research on the Comparison of Extension Mechanism of Cellular Automaton Based on Hexagon Grid and Rectangular Grid

机译:基于六边形网格和矩形网格的细胞自动机扩展机制比较研究

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Historically, cellular automata (CA) is a discrete dynamical mathematical structure defined on spatial grid. Research on cellular automata system (CAS) has focused on rule sets and initial condition and has not discussed its adjacency. Thus, the main focus of our study is the effect of adjacency on CA behavior. This paper is to compare rectangular grids with hexagonal grids on their characteristics, strengths and weaknesses. They have great influence on modeling effects and other applications including the role of nearest neighborhood in experimental design. Our researches present that rectangular and hexagonal grids have different characteristics. They are adapted to distinct aspects, and the regular rectangular or square grid is used more often than the hexagonal grid. But their relative merits have not been widely discussed. The rectangular grid is generally preferred because of its symmetry, especially in orthogonal co-ordinate system and the frequent use of raster from Geographic Information System (GIS). However, in terms of complex terrain, uncertain and multidirectional region, we have preferred hexagonal grids and methods to facilitate and simplify the problem. Hexagonal grids can overcome directional warp and have some unique characteristics. For example, hexagonal grids have a simpler and more symmetric nearest neighborhood, which avoids the ambiguities of the rectangular grids. Movement paths or connectivity, the most compact arrangement of pixels, make hexagonal appear great dominance in the process of modeling and analysis. The selection of an appropriate grid should be based on the requirements and objectives of the application. We use rectangular and hexagonal grids respectively for developing city model. At the same time we make use of remote sensing images and acquire 2002 and 2005 land state of Wuhan. On the base of city land state in 2002, we make use of CA to simulate reasonable form of city in 2005. Hereby, these results provide a proof of concept for hexagonal which has great dominance.
机译:从历史上看,元胞自动机(CA)是在空间网格上定义的离散动态数学结构。细胞自动机系统(CAS)的研究集中于规则集和初始条件,而没有讨论其邻接关系。因此,我们研究的主要重点是邻接对CA行为的影响。本文将比较矩形网格和六边形网格的特性,优点和缺点。它们对建模效果和其他应用(包括最近邻域在实验设计中的作用)有很大影响。我们的研究表明矩形和六边形网格具有不同的特性。它们适用于不同的方面,并且与六边形网格相比,更经常使用规则的矩形或正方形网格。但是它们的相对优点尚未得到广泛讨论。通常首选矩形网格,因为它具有对称性,尤其是在正交坐标系中,并且经常使用来自地理信息系统(GIS)的栅格。但是,在复杂的地形,不确定的多方向区域方面,我们拥有首选的六角形网格和方法来简化和简化该问题。六角形网格可以克服定向翘曲并具有一些独特的特性。例如,六边形网格具有更简单,更对称的最近邻域,从而避免了矩形网格的歧义。运动路径或连通性(最紧凑的像素排列)使六边形在建模和分析过程中占据了主导地位。适当网格的选择应基于应用程序的要求和目标。我们分别使用矩形和六边形网格来开发城市模型。同时,我们利用遥感影像获取了武汉市2002年和2005年的土地状况。在2002年城市土地利用状态的基础上,利用CA模拟了2005年城市的合理形态。由此,这些结果为六角形占主导地位的概念提供了证明。

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