With the development of computers, network communications, scientific computing, mapping remote sensing and geographic information technologies, Discrete Global Grids (DGGs) and Earth System Spatial Grid(ESSG)have become the integrated spatial data model facing the large-scale and global-scale problems and the complex geo-computation. This paper discusses the property and character of the global spatial data at first. Then it introduces the grid division system based on large arc QTM octree and compares this scheme with degradation octree scheme. At last, it introduces the application of the scheme in land surface, underground and aerial geographic entity modeling. The study suggests that: the grid division system based on large arc QTM oct...
Earth observation system, which can realize global coverage in three dimensions, has provided massiv...
A spatial data management and analysis frame is required for global problem application. Global Disc...
In the face of ever-growing and complex massive multi-source spatiotemporal data, the traditional ve...
With the development of computers, network communications, scientific computing, mapping remote sens...
Discrete Global Grid has been widely used as the basic data model of digital earth. But it is only c...
Discrete Global Grid(DGG) provides a fundamental environment for global-scale spatial data's organiz...
There are hundreds of spatial reference frame (SRF) being applied, and the great difference among SR...
For the needs of digital earth development and solving many global problems, a new discrete global g...
The Discrete Global Grid Systems (or the global position location framework) is a kind of scientific...
With the rapid development of earth observation, remote sensing and geographic information system te...
The research works on Global GIS (GGIS) becomes prominent in recent years. The current research work...
Global GIS (G(2)IS) is a system, which supports the huge data process and the global direct manipula...
Due to the limit of the two-dimension and small scale issues, it’s impossible for the conventional p...
QTM Generator is a tool to make a Quaternary Triangular Mesh (QTM) to tessellate the planet geodetic...
As research on large regions of earth progresses, many geographical subdivision grids have been esta...
Earth observation system, which can realize global coverage in three dimensions, has provided massiv...
A spatial data management and analysis frame is required for global problem application. Global Disc...
In the face of ever-growing and complex massive multi-source spatiotemporal data, the traditional ve...
With the development of computers, network communications, scientific computing, mapping remote sens...
Discrete Global Grid has been widely used as the basic data model of digital earth. But it is only c...
Discrete Global Grid(DGG) provides a fundamental environment for global-scale spatial data's organiz...
There are hundreds of spatial reference frame (SRF) being applied, and the great difference among SR...
For the needs of digital earth development and solving many global problems, a new discrete global g...
The Discrete Global Grid Systems (or the global position location framework) is a kind of scientific...
With the rapid development of earth observation, remote sensing and geographic information system te...
The research works on Global GIS (GGIS) becomes prominent in recent years. The current research work...
Global GIS (G(2)IS) is a system, which supports the huge data process and the global direct manipula...
Due to the limit of the two-dimension and small scale issues, it’s impossible for the conventional p...
QTM Generator is a tool to make a Quaternary Triangular Mesh (QTM) to tessellate the planet geodetic...
As research on large regions of earth progresses, many geographical subdivision grids have been esta...
Earth observation system, which can realize global coverage in three dimensions, has provided massiv...
A spatial data management and analysis frame is required for global problem application. Global Disc...
In the face of ever-growing and complex massive multi-source spatiotemporal data, the traditional ve...