Modeling

Modeling of Spatio-temporal changes of Urban Sprawl in Jeju-island: Using CA (Cellular Automata) and ARD (Automatic Rule Detection)

This study aims to predict the spatio-temporal change of the urban sprawl in Jeju isalnd. This study consists of three stages. First, we construct 2009 and 2019 social-environment data for 2009 and 2019, which are the basis for the sprawl prediction. …

Air Pollution Predictive Modeling

This project aims to predict air pollution concentrations at locations across South Korea where direct measurements are unavailable.

Land Cover Change Prediction Modeling

This project aims to develop an algorithm that can accurately predict land cover changes across large regions that include both urban and rural areas.