A GIS based operational system for wildland fire crisis management I. Mathematical modelling and simulation

By D. Vakalis, Haralambos Sarimveis, Chris T. Kiranoudis, A. Alexandridis, G. Bafas. 2004

83 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/2e2c89ed4554d77bacabf3af5eb5dcc9312bc9d3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Volker Grimm
2. Matthew P. Thompson
3. David E. Calkin

In Global and Planetary Change

1. Volker Grimm
2. Cyril Piou
3. K. Schiffers
4. Uta Berger
5. Matthew P. Thompson
6. David E. Calkin

In Management, Monitoring, Policy and Law

1. Matthew P. Thompson
2. David E. Calkin

Citations in the corpus

• Uncertainty and risk in wildland fire management: a review. (2011, background): “Mathematical analog approaches to modeling spread include cellular automata (Encinas et al., 2007), fuzzy logic and neural networks (Vakalis et al., 2004a,b), and spatial Markov chains (Catchpole et al., 1989).”
• Competition among plants: Concepts, individual-based modelling approaches, and a proposal for a future research strategy (2008, methodology): “Thiessen polygons have been used to calculate ‘elevation triangles’ determining the time a fire needs to spread between neighbouring locations in forests (Vakalis et al., 2004); or to calculate an indicator of asymmetric competition (Bauer et al., 2004).”