The spatial data presented several characteristics of mass, multiple, isomerism and multiple tenses, its organization and management mechanism is an important direction of research for Digital Earth. The management of grave emergency with regards to a series of spatial and non-spatial data concerning gathering and handling, having put a higher demand forward the ability of information gathering mechanism on client. The current existing client access mechanism such as C/S model lacks of unified data exchange standards, similarly, B/S model cannot handle the spatial data effectively. It is also difficulty to display for complex and massive spatial data in visualized and real-time. That efficiency depends entirely on the network environment and performance of storage equipment. In order to realize the massive spatial data unified dispatching and efficient sharing based on the principle of Information-gathering and Service-polymerization. We put forward a concept of Spatial-data-cloud which based on G/S model, supported by HGML as the standard and criterion of spatial data exchange, presentation, organization, storage and management. It could also be set up a new work mechanism which use Geo-information browser polymerization multiple and massive complex spatial and non-spatial data. This will provide us a lightweight client called Geo-information browser with which is by the principle Information-gathering and Service-polymerization. It provides emergency management for technical supports such as intelligent decision support, comprehensive research and judgment, and rapid disposal etc. It is the development of basic research of a novel model of Digital Earth.
GPU-Accelerated Simulation of Massive Spatial Data Based on the Modified Planar Rotator Model
