Multiresolution representation of hexagon grids for digital earth

该项目的目标是在数字地球框架内对六边形网格进行多分辨率表示。不断从不同来源收集不同规模的大量地理空间数据，因此需要一个数字地球框架。这个过程的传统机制是缓慢的，并没有利用现有的动态空间数据捕获技术的所有好处。此外，由于整合和分析通常需要特殊的专门知识和有限的独家资源，因此按需共享、分发和分析这种动态空间信息一直是一个挑战。因此，有必要有一个高效的数据结构，也支持多分辨率。作为地球的一种表现形式，数字地球框架必须减少平面数据和地球非平面表面之间可能出现的面积和角度等失真。最常见的空间数据表示形式是图形。自然，这使我们考虑图形可视化作为任何数字地球框架的重要方面之一。由于目前广泛使用的图形技术是基于四边形和三角形，使用六边形网格创建的图形表示的功能和分辨率之间的平滑过渡的挑战。在这个项目中，我们专注于三个子领域的科学问题和研究问题：等面积投影，索引，以及数字地球框架中的数据结构和可视化。 我们的研究计划考虑改进现有解决方案的方法，并研究解决这些问题的新方法。

The project targets multiresolution representation of an hexagonal lattice within a Digital Earth framework. Vast amounts of geospatial data are being gathered in large volumes constantly, at different scales and from different sources, resulting in the need for a Digital Earth framework. Conventional mechanisms of this process are slow and do not harness all the benefits of existing dynamic spatial data capturing technologies. In addition, since the integration and analysis usually require special expertise and access to limited and exclusive resources, the on-demand sharing, distribution and analysis of such dynamic spatial information has been a challenge. Therefore, it is necessary to have an efficient data structure that also supports multiresolution. As a representation of the Earth, the Digital Earth framework must reduce possible distortions - such as areal and angular - that may arise between the planar data and the non-planar surface of the earth. The most common form of spatial data representation is graphical. Naturally, this leads us to consider graphical visualization as one of the important aspect of any Digital Earth framework. Since the current widespread graphical techniques are based on quadrilaterals and triangles, using an hexagonal lattice creates challenges in the graphical representation of features and the smooth transitions between resolutions. In this project, we focus on scientific issues and research problems in three subareas: Equal Area Projection, Indexing, and Data Structures and Visualization in the Digital Earth framework. Our research plan considers methods for improving current solutions and also investigating new approaches for resolving these problems.