Exploring the Relationships between Land Surface Temperature and Its Influencing Factors Using Multisource Spatial Big Data: A Case Study in Beijing, China

Keyphrases

• Beijing China 100%
• Multi-source 100%
• Land Surface Temperature 100%
• Geospatial Big Data 100%
• Human Daily Activity 33%
• Remote Sensing Technology 11%
• Urban Landscape 11%
• Livability 11%
• Influence Mechanism 11%
• Pearson Correlation Analysis 11%
• Healthy Development 11%
• Check-in 11%
• Big Data Sources 11%
• Spatial Autoregressive Model 11%
• Sustainable Urban Development 11%
• Weibo 11%
• Nighttime 11%
• Landscape Components 11%
• Spatial Autocorrelation Analysis 11%
• Surface Temperature Measurement 11%
• Positive Spatial Autocorrelation 11%
• Pixel Scale 11%
• Land Use Functions 11%
• Building Form 11%
• Urban Land Surface Temperature 11%
• Urban Thermal Environment 11%
• Early Management 11%
• MODIS Data 11%

Earth and Planetary Sciences

• China 100%
• Big Data 100%
• Land Surface Temperature 100%
• Autocorrelation 20%
• MODIS 10%
• Environmental Impact Assessment 10%
• Urban Landscape 10%
• Landscape Component 10%
• Hubble Space Telescope 10%
• Spatial Autoregressive Model 10%
• Thermal Environment 10%
• Land Use 10%
• Remote Sensing 10%