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

该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。基于矢量的处理要比栅格数据处理复杂得多，因为栅格数据基于规则的基于网格的固定大小像素，而矢量特征具有由大量顶点列表表示的不规则几何形状。GIS数据文件可能非常庞大，因此，计算需求非常大。Azure等云平台适用于大规模计算和存储功能。这些功能与按需访问和其他特性相结合，使得云处理非常适合GIS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平台上用于GIS覆盖处理的可扩展实现。

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.