Integrated analysis of energy carbon emissions and air pollution in Ningxia based on MGWR and multisource remote sensing data

This publication has 27 references indexed in Scilit:

• Estimating spatiotemporal variations of city-level energy-related CO2 emissions: An improved disaggregating model based on vegetation adjusted nighttime light data
  Journal of Cleaner Production, 2018
• An Improved Vegetation Adjusted Nighttime Light Urban Index and Its Application in Quantifying Spatiotemporal Dynamics of Carbon Emissions in China
  Remote Sensing, 2017
• Multiscale Geographically Weighted Regression (MGWR)
  Annals of the American Association of Geographers, 2017
• Using a Geographically Weighted Regression Model to Explore the Influencing Factors of CO2 Emissions from Energy Consumption in the Industrial Sector
  Polish Journal of Environmental Studies, 2016
• Energy use, carbon dioxide emissions, GDP, industrialization, financial development, and population, a causal nexus in Sri Lanka: With a subsequent prediction of energy use using neural network
  Energy Sources, Part B: Economics, Planning, and Policy, 2016
• The impact of land use change on the temporospatial variations of ecosystems services value in China and an optimized land use solution
  Environmental Science & Policy, 2014
• Economic Development, Energy Consumption, and Air Pollution: A Critical Assessment in China
  Human and Ecological Risk Assessment: An International Journal, 2014
• An integrated assessment of climate change, air pollution, and energy security policy
  Energy Policy, 2010
• Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices
  International Journal of Geographical Information Science, 2010
• Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity
  Geographical Analysis, 1996