Rothermel-package: Rothermel surface fire spread model for R
In Rothermel: Rothermel fire spread model for R
Description
Details
Author(s)
References
See Also
Description
R build of Rothermel's (1972) model for surface head fire rate of spread with some additional utilities (best standard fuel model selection, uncertainty propagation, optimization of fuel models by genetic algorithms) and sample datasets.
Details
Package: Rothermel
Type: Package
Version: 1.0
Date: 2014-01-13
License: GPL-2
Arguments to functions ros ( ), rosunc ( ), and bestFM ( ) should be provided by the user from standard or custom fire behavior fuel models, standard or custom moisture scenarios and desired wind speed and slope. rosunc ( ) only works with individual observations, ros ( ) and bestFM ( ) work with individual or multiple observations.
Author(s)
Giorgio Vacchiano, Davide Ascoli (DISAFA, University of Torino, Italy) <giorgio.vacchiano@unito.it>
References
Rothermel, R. C. (1972). A mathematical model for fire spread predictions in wildland fires. Research Paper INT-115. Ogden, UT: US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station.
Vacchiano, G., Ascoli, D. (2014) An implementation of the Rothermel fire spread model in the R programming language. Fire Technology, in press. DOI 10.1007/s10694-014-0405-6.
See Also
Rothermel documentation built on May 2, 2019, 7:23 a.m.
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Description Details Author(s) References See Also
Description
R build of Rothermel's (1972) model for surface head fire rate of spread with some additional utilities (best standard fuel model selection, uncertainty propagation, optimization of fuel models by genetic algorithms) and sample datasets.
Details
| Package: | Rothermel |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2014-01-13 |
| License: | GPL-2 |
Arguments to functions ros ( ), rosunc ( ), and bestFM ( ) should be provided by the user from standard or custom fire behavior fuel models, standard or custom moisture scenarios and desired wind speed and slope. rosunc ( ) only works with individual observations, ros ( ) and bestFM ( ) work with individual or multiple observations.
Author(s)
Giorgio Vacchiano, Davide Ascoli (DISAFA, University of Torino, Italy) <giorgio.vacchiano@unito.it>
References
Rothermel, R. C. (1972). A mathematical model for fire spread predictions in wildland fires. Research Paper INT-115. Ogden, UT: US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station.
Vacchiano, G., Ascoli, D. (2014) An implementation of the Rothermel fire spread model in the R programming language. Fire Technology, in press. DOI 10.1007/s10694-014-0405-6.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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