Exploration of spatial and temporal characteristics of PM2.5 concentration in Guangzhou, China using wavelet analysis and modified land use regression model.
Fenglei FanRunping LiuPublished in: Geo spatial Inf. Sci. (2018)
Keyphrases
- spatial and temporal
- regression model
- wavelet analysis
- spatio temporal
- wavelet transform
- space time
- regression analysis
- multiresolution
- regression methods
- video frames
- prediction model
- support vector regression
- factor analysis
- model selection
- low frequency
- generalized linear models
- multivariate regression
- spatial and temporal information
- high frequency
- multiscale
- wavelet neural network
- feature detection
- linear regression model
- interval valued data
- basis functions
- association rules