Rongyu Zhang
Biographic Data
| ID | 8833266 |
|---|---|
| NAME | Rongyu Zhang |
| GIVEN NAMES | Rongyu |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG R |
| AFFILIATIONS | Xiamen University of Technology |
| ORCID | 0000-0002-9174-1765 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Explainable second-dimension spatial association between park sentiment and built-social environments
Understanding human–environment interactions is crucial for sustainable urban development and well-being. Urban parks are key urban environments affecting residential emotions. However, existing studies with fixed neighborhood ranges and mean-based indicators limit the examination of nonlinear effects across spatial scales and value ranges. This study develops an explainable second dimension of spatial association (ESDA) model to identify spatial…
A Spatial Information Extraction Method Based on Multi-Modal Social Media Data
With the proliferation and development of social media platforms, social media data have become an important source for acquiring spatiotemporal information on various urban events. Providing accurate spatiotemporal information for events contributes to enhancing the capabilities of urban management and emergency responses. However, existing research regarding mining spatiotemporal information of events often solely focuses on textual content and…
No prominent works on this page.
A Spatial Information Extraction Method Based on Multi-Modal Social Media Data
With the proliferation and development of social media platforms, social media data have become an important source for acquiring spatiotemporal information on various urban events. Providing accurate spatiotemporal information for events contributes to enhancing the capabilities of urban management and emergency responses. However, existing research regarding mining spatiotemporal information of events often solely focuses on textual content and…
Explainable second-dimension spatial association between park sentiment and built-social environments
Understanding human–environment interactions is crucial for sustainable urban development and well-being. Urban parks are key urban environments affecting residential emotions. However, existing studies with fixed neighborhood ranges and mean-based indicators limit the examination of nonlinear effects across spatial scales and value ranges. This study develops an explainable second dimension of spatial association (ESDA) model to identify spatial…
Association (psychology) (1 work) · Computer Science (1 work) · Data association (1 work) · Data extraction (1 work) · Data mining (1 work) · Data science (1 work) · Geographic Information Systems Studies (1 work) · Geography (1 work) · Human Mobility and Location-Based Analysis (1 work) · Information extraction (1 work)