In the face of ever-growing and complex massive multi-source spatiotemporal data, the traditional vector data model is increasingly difficult to meet the needs of efficient data organization, management, calculation and analysis. Based on the simple and widely used geographic grid data organization model, this paper designs a technical method to convert vector data into multi-scale grid data, establishes a unified, standardized and seamless land spatial grid data model, and analyses the area accuracy of multi-scale grid data. Practice shows that the model can better meet the needs of multi-scale geospatial information integration and analysis, and it is easy to carry out distributed data processing, which provides technical support for the ...
Earth observation system, which can realize global coverage in three dimensions, has provided massiv...
Geospatial vector data plays a crucial role in the national economy and the construction of the nati...
Importance of integrating multi-sources spatial data is widely acknowledged. It is indispensable esp...
Compared with the traditional spatial data model and method, global subdivision grid show a great ad...
In recent years, significant developments have been made in Spatial Data Infrastructure (SDI) in Chi...
International audienceSpatial data gridding is one of the effective methods to solve the ...
In order to cope with the rapid growth of spatiotemporal big data, data organization models based on...
With the development of computers, network communications, scientific computing, mapping remote sens...
This study addressed a critical resource—soil—through the prism of processing big data at the contin...
International audienceMulti-scale representation of spatial data is a research focus in GIS, while b...
With the development of computers, network communications, scientific computing, mapping remote sens...
With the development of earth observation technology, three-dimensional geo-spatial information acqu...
The research works on Global GIS (GGIS) becomes prominent in recent years. The current research work...
Spatial vector data with high-precision and wide-coverage has exploded globally, such as land cover,...
With the rapid development of earth observation, remote sensing and geographic information system te...
Earth observation system, which can realize global coverage in three dimensions, has provided massiv...
Geospatial vector data plays a crucial role in the national economy and the construction of the nati...
Importance of integrating multi-sources spatial data is widely acknowledged. It is indispensable esp...
Compared with the traditional spatial data model and method, global subdivision grid show a great ad...
In recent years, significant developments have been made in Spatial Data Infrastructure (SDI) in Chi...
International audienceSpatial data gridding is one of the effective methods to solve the ...
In order to cope with the rapid growth of spatiotemporal big data, data organization models based on...
With the development of computers, network communications, scientific computing, mapping remote sens...
This study addressed a critical resource—soil—through the prism of processing big data at the contin...
International audienceMulti-scale representation of spatial data is a research focus in GIS, while b...
With the development of computers, network communications, scientific computing, mapping remote sens...
With the development of earth observation technology, three-dimensional geo-spatial information acqu...
The research works on Global GIS (GGIS) becomes prominent in recent years. The current research work...
Spatial vector data with high-precision and wide-coverage has exploded globally, such as land cover,...
With the rapid development of earth observation, remote sensing and geographic information system te...
Earth observation system, which can realize global coverage in three dimensions, has provided massiv...
Geospatial vector data plays a crucial role in the national economy and the construction of the nati...
Importance of integrating multi-sources spatial data is widely acknowledged. It is indispensable esp...