A5095063286- Land Use and Ecosystem Services
- Soft tissue tumor case studies
- Regional Economic and Spatial Analysis
- Spatial and Panel Data Analysis
- Geographic Information Systems Studies
- Advanced Sensor and Control Systems
- Human Mobility and Location-Based Analysis
- Advanced Algorithms and Applications
- Housing Market and Economics
Zhejiang University
2024-2025
Anhui Polytechnic University
2024
The estimation of spatial heterogeneity within real estate markets holds significant importance in house price modelling. However, employing a single or straightforward distance to measure proximity is probably insufficient complex urban areas, thereby resulting an inadequate modelling heterogeneity. To address this issue, paper incorporates multiple measures neural network framework achieve optimized (OSP). Consequently, geographically weighted regression model with (osp-GNNWR) devised for...
Abstract. Spatiotemporal regression is a crucial method in geography for discerning spatiotemporal non-stationarity geographical relationships, which has found widespread application across diverse research domains. This study implements two innovative intelligent models, namely geographically neural network weighted (GNNWR) and temporally (GTNNWR), integrating the framework networks. Demonstrating superior accuracy generalization capabilities large-scale data environments compared to...
Abstract. Spatiotemporal regression is a crucial method in geography for discerning spatiotemporal nonstationarity geographical relationships and has found widespread application across diverse research domains. This study implements two innovative intelligent models, i.e., Geographically Neural Network Weighted Regression (GNNWR) Temporally (GTNNWR), which use neural networks to estimate nonstationarity. Due the higher accuracy generalization ability, these models have been widely used...