Spatial Non-Stationarity of Influencing Factors of China's County Economic Development Base on a Multiscale Geographically Weighted Regression Model.
Ziwei HuangShaoying LiYihuan PengFeng GaoPublished in: ISPRS Int. J. Geo Inf. (2023)
Keyphrases
- influencing factors
- economic development
- regression model
- multiscale
- economic growth
- shandong province
- sustainable development
- regression methods
- regression analysis
- information and communication technologies
- spatial data
- model selection
- water resources
- henan province
- explanatory variables
- spatial analysis
- prediction model
- gaussian process
- linear model
- multivariate regression
- low carbon
- linear regression model
- logistics industry
- generalized linear models
- support vector regression
- non stationary
- kernel regression
- e government
- image segmentation
- interval valued data
- neural network
- government performance evaluation
- regression method
- puts forward
- fault diagnosis
- low cost
- long term
- artificial neural networks