Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …

We develop a new geographical cellular automata (CA) modeling framework, named
UrbanCA, through reconstructing the essential CA structure and incorporating nonspatial …

The quantitative simulation of forest fire spreading plays an essential role in designing quick
risk management and implementing effective suppression policies. As a preferable …

Numerical simulation of wildland fire spread is useful to predict the locations that are likely to
burn and to support decision in an operational context, notably for crisis situations and long …

PROPAGATOR is a stochastic cellular automaton model for forest fire spread simulation,
conceived as a rapid method for fire risk assessment. The model uses high-resolution …

Cell2Fire is a new cell-based wildland fire growth simulator designed to integrate data-
driven landscape management planning models. The fire environment is modeled by …

In response to the transboundary haze problem in Southeast Asia, a physical model is
adopted to simulate the spread and extinguishing of fire. This study is done in the context of …

Cellular automata (CA) models can simulate complex urban systems through simple rules
and have become important tools for studying the spatio-temporal evolution of urban land …

Analyzing the spatial behaviors of moving-point objects (MPOs) and discovering their
movement patterns have been of great interest to the geographic information science …

Wildfires have significant environmental and economic effects. Since containment of
wildfires involves deciding under tight time constraints, there is an increasing need for …