Capturing the heterogeneity of urban growth in South Korea using a latent class regression model.
Soyoung ParkJae Hyun LeeKeith C. ClarkePublished in: Trans. GIS (2018)
Keyphrases
- regression model
- south korea
- urban growth
- united states
- cellular automata model
- model selection
- regression analysis
- cellular automata
- regression methods
- prediction model
- multivariate regression
- land cover
- kernel regression
- generalized linear models
- gaussian process
- spatial patterns
- explanatory variables
- urban planning
- linear regression model
- regression method
- data streams
- locally weighted
- online gaming
- e government
- active learning