Qingxi Luo
Biographic Data
| ID | 9966857 |
|---|---|
| NAME | Qingxi Luo |
| GIVEN NAMES | Qingxi |
| FAMILY NAME | Luo |
| SIGNATURE | LUO Q |
| AFFILIATIONS | Chongqing University of Posts and Telecommunications |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
VST-Pca
Land use/cover change (LUCC) refers to the phenomenon of changes in the Earth’s surface over time. Accurate prediction of LUCC is crucial for guiding policy formulation and resource management, contributing to the sustainable use of land, and maintaining the health of the Earth’s ecosystems. LUCC is a dynamic geographical process involving complex spatiotemporal dependencies. Existing LUCC simulation models suffer from insufficient spatiotemporal…
Simulating Urban Expansion from the Perspective of Spatial Anisotropy and Expansion Neighborhood
Exploring spatial anisotropy features and capturing spatial interactions during urban change simulation is of great significance to enhance the effectiveness of dynamic urban modeling and improve simulation accuracy. Addressing the inadequacies of current cellular automaton-based urban expansion models in exploring spatial anisotropy features, overlooking spatial interaction forces, and the ineffective expansion of cells due to traditional neighb…
No prominent works on this page.
VST-Pca
Land use/cover change (LUCC) refers to the phenomenon of changes in the Earth’s surface over time. Accurate prediction of LUCC is crucial for guiding policy formulation and resource management, contributing to the sustainable use of land, and maintaining the health of the Earth’s ecosystems. LUCC is a dynamic geographical process involving complex spatiotemporal dependencies. Existing LUCC simulation models suffer from insufficient spatiotemporal…
Simulating Urban Expansion from the Perspective of Spatial Anisotropy and Expansion Neighborhood
Exploring spatial anisotropy features and capturing spatial interactions during urban change simulation is of great significance to enhance the effectiveness of dynamic urban modeling and improve simulation accuracy. Addressing the inadequacies of current cellular automaton-based urban expansion models in exploring spatial anisotropy features, overlooking spatial interaction forces, and the ineffective expansion of cells due to traditional neighb…
Civil engineering (2 works) · Engineering (2 works) · Land Use and Ecosystem Services (2 works) · Remote Sensing and Land Use (2 works) · Anisotropy (1 works) · Artificial Intelligence (1 works) · Chemistry (1 works) · Chromatography (1 works) · Computer Science (1 works) · Data mining (1 works)