文章基本信息

标题：Spatial Big Data Organization, Access and Visualization with ESSG
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作者：L. X. Wu ; J. Q. Yu ; Y. Z. Yang 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2013
卷号：XL-4/W2
页码：51-56
DOI：10.5194/isprsarchives-XL-4-W2-51-2013
出版社：Copernicus Publications
摘要：There are hundreds of spatial reference frame (SRF) being applied, and the great difference among SRFs has blocked the share of global data on planet Earth. A conceptual spheroid of radius 12,800 km and a spheroid degenerated octree grid method are applied to produce an earth system spatial grid (ESSG), which is of natural characteristics to be applied as a new common SRF. A triple CTA is designed as ESSG-based data structure to organize the big data of planet Earth, and a 2D table of a unique label and limitless records for time slices and attribute values is present to record the data of each grid. The big data on planet Earth can hence be gridded and interrelated without discipline gaps and SRF obstacles. An integral data organization mode is designed, and three potential routes are presented for users to access shareable global data in cloud environment. Furthermore, with global crust, atmosphere, DEM, and satellite image being examples, the integrated visualization of global large objects is demonstrated
关键词：Spatial big data; Global Spatial Grid; ESSG; Spatial Infrastructure; Visualization; Mapping; Internet/Web; Cloud