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As geospatial data is increasingly massive and complex, large data volume and rich data source query retrieval are among the urgent issues in need of resolution. Spatial indices are widely used to organize data and optimize queries. However, tree-based indices are increasingly difficult to adapt to a high-efficiency query, and the combination of a grid index and space-filling curve can help decrease...
With the development of digital earth, Mathematical measure methods based on spherical surface have been extensively studied. The development of global subdivision theories have broken through the traditional measure methods of geodetic scientists. This article summarizes two typical global discrete grid system's research achievements. Scholar Yuan builds a 12-connectivity distance survey method for...
Cloud computing has been widely used in various fields. A typical Google-like infrastructure of cloud computing is usually supported by the following three technologies: a scalable distributed file system like GFS, a structured key-value data store mechanism like Bigtable, and a parallel programming model like MapReduce. This paper presents a multi-level index model based on global subdivision grid...
The paper proposed a new method of global subdivision that combines geographical coordinates and the thinking of regular polyhedron's recursive Subdivision. It Subdivides the earth directly on the sphere, with no internal polyhedron and no projection. Subdivision units use similar rhombus. The method can achieve a seamless sphere without overlapping, with any resolution adopted subdivision. As the...
The multi-source spatial information code is the key of spatial data organization, and the base of spatial information searching, retrieval and the data mining.In this paper, the author establish a spatial information cataloging system combined with the current characteristics and application of multi-source according to the shortage of traditional coding technology. The author also proposed a set...
In general, applications and services of spatial data are all directly related with their geographic locations. In order to more effectively organize and store spatial data to improve query and distribution services according to their spatial characteristics, Geographic Identification Protocol (GeoIP), which is a new storage and scheduling protocol based on global subdivision theory, is presented...
In order to more efficiently store and manage the massive spatial data and support the location based service, alternatives to spatial data storage system are urgently needed as the amount of spatial data is greatly increasing. Global Subdivision Storage Cluster (GS2G or Geocluster), which is a new kind of storage system based on global subdivision theory for spatial data, is presented in this paper...
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