Chapter One Introduction
Large-scale spatial data to produce large volumes of data (Volume), update speed (Velocity), the data of many types (Variety), low density value (Value), etc. "4V" characteristics of the era of big data space marks.
Data is often regarded as geographic information systems (GIS) "blood." The rise of big data space, but also brought about changes in traditional GIS industry. Currently, in the field of remote sensing data is large, the initial formation has a cloud-based storage, remote sensing image from the set of performance calculation data "acquisition, storage, organization, analysis, visualization, application" as one of the systematic internet.
But a large study in terms of vector data have yet to be put Gao. On the one hand, due to the large-scale vector data are often related to national economy, national defense and other infrastructure construction of special factors, resulting in a large vector data for sharing difficulties, relatively few clever application of research; on the other hand, based on existing commercial GIS Spatial Data management platform for big data management capabilities vector is also near the limit, unable to meet the needs of the national industry applications. Therefore, this study was conducted in the context of "big data era of space", to carry out large data key technology to store, manage, visualize, applications for massive vector research problems, not only promote the development of spatial big data software products, while also it has important theoretical significance. Therefore, based Hadoop Big Data mainstream technology platform, Gao mention large-scale vector data providers for the purpose of effective management, cloud storage model to study large vector data, distributed spatial index and vector data-parallel conversion, parallel query space, such as pyramid model Parallel Building the key technical issues to address management needs of large-scale vector data, liftoff effectiveness of the application data, provide strong support for science and technology to enhance service support capability and implementation of national strategies to ± information system, this paper has important application value.