CiC: EAGER: CCollaborative: GIS Vector Data Overlay Processing on Azure Platform

这个合作项目的重点是通过云计算进行基于GIS矢量的空间数据叠加处理。基于矢量的处理比栅格数据处理要复杂得多，因为栅格数据基于规则的基于网格的固定大小像素，而矢量要素具有由大量顶点列表表示的不规则几何形状。地理信息系统的数据文件可以是非常大规模的，因此，计算要求是巨大的。Azure等云平台适合大规模计算和存储能力。这些功能与可访问性、按需访问和其他功能相结合，使得云处理非常适合地理信息系统应用程序。这项探索性研究将尝试发现分布式算法，并测试其在Azure平台上可扩展的GIS覆盖处理实现。

This collaborative project is focused on GIS vector-based spatial data overlay processing through cloud computing. Vector-based processing is considerably more complicated than raster data processing because raster data is based on regular grid-based fixed-size pixels, while vector features have irregular geometric shapes represented by a list of large number of vertices. GIS data files can be very large-scale huge and as such, computational requirements are significant. Cloud platforms such as Azure are appropriate for large-scale computing and storage capabilities. These capabilities combined with accessibility on-demand and other features have made cloud processing very desirable for GIS applications. This exploratory research will attempt to discover distributed algorithms and test their scalable implementations for GIS overlay processing on the Azure platform.