Xiaochuang Yao
Biographic Data
| ID | 6279952 |
|---|---|
| NAME | Xiaochuang Yao |
| GIVEN NAMES | Xiaochuang |
| FAMILY NAME | Yao |
| SIGNATURE | YAO X |
| AFFILIATIONS | China Agricultural University |
| ORCID | 0000-0001-8068-9415 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Unveiling patterns and drivers of long-term rural settlement changes from the urban-rural gradient perspective: A case study of the Beijing-Tianjin-Hebei region in China
Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid
With the continuous advancement of technology for obtaining geographic spatial data, the accumulated volume of such data has been increasing, thus imposing higher demands on the storage, organization, and management of such data. As a new form of data management, the Discrete Global Grid System (DGGS) provides standardized descriptions and the exchange of geographic information on a global scale, enabling the efficient storage and application of …
HexTile: A Hexagonal DGGS-Based Map Tile Algorithm for Visualizing Big Remote Sensing Data in Spark
The advent of the era of big remote sensing data has transformed traditional data management and analysis models, among which visualization analysis has gradually become an effective method, and map tiles for remote sensing data have always played an important role. However, in high-latitude regions, especially in polar regions, the deformation caused by map projection still exists, which lowers the accuracy of global or large-scale visual analys…
Scenario simulation of the tradeoff between ecological land and farmland in black soil region of Northeast China
A Precision Evaluation Index System for Remote Sensing Data Sampling Based on Hexagonal Discrete Grids
With the rapid development of earth observation, satellite navigation, mobile communication, and other technologies, the order of magnitude of the spatial data we acquire and accumulate is increasing, and higher requirements are put forward for the application and storage of spatial data. As a new form of data management, the global discrete grid can be used for the efficient storage and application of large-scale global spatial data, which is a …
An Efficient Row Key Encoding Method with Ascii Code for Storing Geospatial Big Data in HBase
Recently, increasing amounts of multi-source geospatial data (raster data of satellites and textual data of meteorological stations) have been generated, which can play a cooperative and important role in many research works. Efficiently storing, organizing and managing these data is essential for their subsequent application. HBase, as a distributed storage database, is increasingly popular for the storage of unstructured data. The design of the…
An Efficient Row Key Encoding Method with Ascii Code for Storing Geospatial Big Data in HBase
Recently, increasing amounts of multi-source geospatial data (raster data of satellites and textual data of meteorological stations) have been generated, which can play a cooperative and important role in many research works. Efficiently storing, organizing and managing these data is essential for their subsequent application. HBase, as a distributed storage database, is increasingly popular for the storage of unstructured data. The design of the…
A Precision Evaluation Index System for Remote Sensing Data Sampling Based on Hexagonal Discrete Grids
With the rapid development of earth observation, satellite navigation, mobile communication, and other technologies, the order of magnitude of the spatial data we acquire and accumulate is increasing, and higher requirements are put forward for the application and storage of spatial data. As a new form of data management, the global discrete grid can be used for the efficient storage and application of large-scale global spatial data, which is a …
Scenario simulation of the tradeoff between ecological land and farmland in black soil region of Northeast China
HexTile: A Hexagonal DGGS-Based Map Tile Algorithm for Visualizing Big Remote Sensing Data in Spark
The advent of the era of big remote sensing data has transformed traditional data management and analysis models, among which visualization analysis has gradually become an effective method, and map tiles for remote sensing data have always played an important role. However, in high-latitude regions, especially in polar regions, the deformation caused by map projection still exists, which lowers the accuracy of global or large-scale visual analys…
Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid
With the continuous advancement of technology for obtaining geographic spatial data, the accumulated volume of such data has been increasing, thus imposing higher demands on the storage, organization, and management of such data. As a new form of data management, the Discrete Global Grid System (DGGS) provides standardized descriptions and the exchange of geographic information on a global scale, enabling the efficient storage and application of …
Unveiling patterns and drivers of long-term rural settlement changes from the urban-rural gradient perspective: A case study of the Beijing-Tianjin-Hebei region in China
Computer Science (4 works) · Data mining (4 works) · Geography (4 works) · Grid (4 works) · Distributed computing (3 works) · Land Use and Ecosystem Services (3 works) · Algorithm (2 works) · China (2 works) · Data Management and Algorithms (2 works) · Database (2 works)