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球体退化八叉树格网(SDOG)为具有经纬一致性、正交、粒度近似、非重叠、多层次性及多分辨率的三维全球空间格网(GSG),有望成为地球系统科学、全球GIS乃至数字地球的空间基础框架,但不便处理半径及球面维度上的分辨率非同步变化问题。该文在SDOG基础上沿某一方向进行独立递归细分,构建了一个能适应非同步变化的多分辨率的球体GSG———适应性SDOG,提出了其耦合退化Z(CDZ)曲线填充编码方法;并以NCEP提供的温度数据为实验,实现了基于适应性SDOG的全球大气温度场三维建模与可视化。结果表明:适应性SDOG具有更好的适应能力,能有效处理分辨率非同步变化问题,提高了SDOG作为全球空间基础框架的应用性能。

Spheroid Degenerated-Octree Grid(SDOG) is a kind of spheroid Global Spatial Grid(GSG),which has nice characteristics in longitude-latitude consistency,orthogonality,quasi-uniform,non-overlapping,multi-hierarchy and multi-resolution,and has potentiality to act as the basic spatial reference framework of Earth System Science(ESS),Global GIS and Digital Earth.However,a huge difference in grid resolution may exist between the radial size and spherical size,which are not easy to be treated by SDOG.Th...