A5084194447- Land Use and Ecosystem Services
- Urban Heat Island Mitigation
- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Environmental Impact and Sustainability
- Water resources management and optimization
- Energy, Environment, Economic Growth
- Water Resources and Sustainability
- Urban Green Space and Health
- Impact of Light on Environment and Health
- Agriculture Sustainability and Environmental Impact
- Time Series Analysis and Forecasting
- Data Stream Mining Techniques
- Nutritional Studies and Diet
- Rural development and sustainability
- Spatial and Panel Data Analysis
- Tree-ring climate responses
- Urban Transport and Accessibility
- Anomaly Detection Techniques and Applications
- Traffic and Road Safety
- Water-Energy-Food Nexus Studies
- Human Mobility and Location-Based Analysis
- Energy and Environment Impacts
- Regional Development and Environment
- Species Distribution and Climate Change
Institute of Geographic Sciences and Natural Resources Research
2021-2025
Chinese Academy of Sciences
2021-2025
University of Chinese Academy of Sciences
2021-2025
Beijing Normal University
2021-2024
Shaanxi Normal University
2021
Chinese Research Academy of Environmental Sciences
2021
Renmin University of China
2018
Open public places, such as pedestrian streets, parks, and squares, are vulnerable when the pedestrians thronged into sidewalks. The crowd count changes dynamically over time with various external factors, surroundings, weekends, peak hours, so it is essential to predict accurate timely count. To address this issue, study introduces graph convolutional network (GCN), a network-based model, flow in walking street. Compared other grid-based methods, model capable of directly processing road...
Urban thermal condition has seriously affected the quality of residents daily life and triggered some environment issues. Understanding spatial patterns land surface temperature (LST) its driving mechanism is important for sustainable development cities. Taking Beijing as an example, this study employed econometric models to investigate temporal heterogeneity LST from 2014 2018 based on multi-source remote sensing statistical data. The global autocorrelation Morans I index showed existence...
Accurate mapping of global urban and rural settlements is crucial for understanding their distinct expansion patterns ecological impacts. However, existing datasets focus mainly on ignore the delineation settlements. Therefore, this study proposed a framework delineating between based dynamic thresholds defined by area light brightness constructed first 100-meter resolution dataset (GURS) spanning from 2000 to 2020, integrating GHS-BUILT-S R2023A, NPP-VIIRS-like nighttime light,...
Rapid urbanization has led to the expansion of Shenzhen’s built-up land and a substantial reduction in urban greenspace (UG). However, changes UG Shenzhen are not well understood. Here, we utilized long-time-series cover data Normalized Difference Vegetation Index (NDVI) as proxy for quality systematically analyze spatio-temporal pattern exposure inequality Shenzhen. The results indicate that area been decreasing over years, although rate decrease slowed recent years. NDVI trend exhibited...
Changepoints detection of online data streams is a very important issue. Adaptive estimation using forgetting factor (briefly AFF) an efficient algorithm for this problem. However, AFF assumes the pre-change distribution normal, which restrictive. In addition, uses defaulted step size 0.01. fact, numerical results show that has significant impact on final performance algorithm, and principle lacking choosing size. paper, we develop improved (briefly, IAFF). Specifically, free measure...