Multiresolution representation of hexagon grids for digital earth

该项目的目标是在数字地球框架内实现六边形晶格的多分辨率表示。大量的地理空间数据正在以不同的尺度和不同的来源不断地大量收集，因此需要一个数字地球框架。这一过程的传统机制是缓慢的，并且不能利用现有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别的专门知识和获得有限的独家资源，按需分享、分发和分析这种动态空间信息一直是一项挑战。因此，有必要有一个有效的数据结构，也支持多分辨率。作为地球的表示，数字地球框架必须减少平面数据和地球的非平面表面之间可能出现的失真，例如面积和角度失真。最常见的空间数据表示形式是图形化的。自然，这导致我们将图形可视化视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的，使用六边形晶格会给特征的图形表示和分辨率之间的平滑过渡带来挑战。在本项目中，我们重点关注三个子领域的科学问题和研究问题：等面积投影、索引和数字地球框架下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.