Cellular Automata (CA) have been introduced many decades ago as one of the most
efficient parallel computational models able to simulate various physical processes and …

Cell-based methods for simulating wildfires can be computationally more efficient than
techniques based on the fire perimeter expansion. In spite of this, their success has been …

Monogenetic volcanic fields, such as the Auckland Volcanic Field (AVF), New Zealand, are
common on the Earth's surface and are typically dominated by basaltic lava flows up to 10 s …

The MAGFLOW model for lava-flow simulations is based on the cellular automaton (CA)
approach, and uses a physical model for the thermal and rheological evolution of the flowing …

Forecasting the time, nature, and impact of future eruptions is difficult at volcanoes such as
Mount Etna, in Italy, where eruptions occur from the summit and on the flanks, affecting …

MAGFLOW is a physics-based numerical model for lava flow simulations based on the
Cellular Automaton approach that has been successfully used to predict the lava flow paths …

In recent years, urban models based on Cellular Automata (CA) are becoming increasingly
sophisticated and are being applied to real-world problems covering large geographical …

Raster-based methods for simulating wildfire spread are computationally more efficient than
vector-based approaches. In spite of this, their success has been limited by the distortions …

In this paper, a model based on Cellular Automata (CAs) for predicting wildfire spreading is
presented. The proposed model is inspired by existing fire spread models, but also includes …

In the field of wildfire risk management the so-called burn probability maps (BPMs) are
increasingly used with the aim of estimating the probability of each point of a landscape to …