cffdrs: an R package for the Canadian Forest Fire Danger Rating System
Introduction The Canadian Forest Fire Danger Rating System (CFFDRS) is a globally known wildland fire risk assessment system, and two major components, the fire weather index system and the fire behavior prediction system, have been extensively used both nationally and internationally to aid operati...
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Published in | Ecological processes Vol. 6; no. 1; pp. 1 - 11 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.12.2017
Springer Nature B.V SpringerOpen |
Subjects | |
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Abstract | Introduction
The Canadian Forest Fire Danger Rating System (CFFDRS) is a globally known wildland fire risk assessment system, and two major components, the fire weather index system and the fire behavior prediction system, have been extensively used both nationally and internationally to aid operational wildland fire decision making.
Methods
In this paper, we present an overview of an R package cffdrs, which is developed to calculate components of the CFFDRS, and highlight some of its functionality. In particular, we demonstrate how these functions could be used for large data analysis.
Results and Discussion
With this cffdrs package, we provide a portal for not only a collection of R functions dealing with all available components in CFFDRS but also a platform for various additional developments that are useful for the understanding of fire occurrence and behavior. This is the first time that all relevant CFFDRS methods are incorporated into the same platform, which can be accessed by both the management and research communities. |
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AbstractList | Introduction
The Canadian Forest Fire Danger Rating System (CFFDRS) is a globally known wildland fire risk assessment system, and two major components, the fire weather index system and the fire behavior prediction system, have been extensively used both nationally and internationally to aid operational wildland fire decision making.
Methods
In this paper, we present an overview of an R package cffdrs, which is developed to calculate components of the CFFDRS, and highlight some of its functionality. In particular, we demonstrate how these functions could be used for large data analysis.
Results and Discussion
With this cffdrs package, we provide a portal for not only a collection of R functions dealing with all available components in CFFDRS but also a platform for various additional developments that are useful for the understanding of fire occurrence and behavior. This is the first time that all relevant CFFDRS methods are incorporated into the same platform, which can be accessed by both the management and research communities. Abstract Introduction The Canadian Forest Fire Danger Rating System (CFFDRS) is a globally known wildland fire risk assessment system, and two major components, the fire weather index system and the fire behavior prediction system, have been extensively used both nationally and internationally to aid operational wildland fire decision making. Methods In this paper, we present an overview of an R package cffdrs, which is developed to calculate components of the CFFDRS, and highlight some of its functionality. In particular, we demonstrate how these functions could be used for large data analysis. Results and Discussion With this cffdrs package, we provide a portal for not only a collection of R functions dealing with all available components in CFFDRS but also a platform for various additional developments that are useful for the understanding of fire occurrence and behavior. This is the first time that all relevant CFFDRS methods are incorporated into the same platform, which can be accessed by both the management and research communities. IntroductionThe Canadian Forest Fire Danger Rating System (CFFDRS) is a globally known wildland fire risk assessment system, and two major components, the fire weather index system and the fire behavior prediction system, have been extensively used both nationally and internationally to aid operational wildland fire decision making.MethodsIn this paper, we present an overview of an R package cffdrs, which is developed to calculate components of the CFFDRS, and highlight some of its functionality. In particular, we demonstrate how these functions could be used for large data analysis.Results and DiscussionWith this cffdrs package, we provide a portal for not only a collection of R functions dealing with all available components in CFFDRS but also a platform for various additional developments that are useful for the understanding of fire occurrence and behavior. This is the first time that all relevant CFFDRS methods are incorporated into the same platform, which can be accessed by both the management and research communities. INTRODUCTION: The Canadian Forest Fire Danger Rating System (CFFDRS) is a globally known wildland fire risk assessment system, and two major components, the fire weather index system and the fire behavior prediction system, have been extensively used both nationally and internationally to aid operational wildland fire decision making. METHODS: In this paper, we present an overview of an R package cffdrs, which is developed to calculate components of the CFFDRS, and highlight some of its functionality. In particular, we demonstrate how these functions could be used for large data analysis. RESULTS AND DISCUSSION: With this cffdrs package, we provide a portal for not only a collection of R functions dealing with all available components in CFFDRS but also a platform for various additional developments that are useful for the understanding of fire occurrence and behavior. This is the first time that all relevant CFFDRS methods are incorporated into the same platform, which can be accessed by both the management and research communities. The Canadian Forest Fire Danger Rating System (CFFDRS) is a globally known wildland fire risk assessment system, and two major components, the fire weather index system and the fire behavior prediction system, have been extensively used both nationally and internationally to aid operational wildland fire decision making. In this paper, we present an overview of an R package cffdrs, which is developed to calculate components of the CFFDRS, and highlight some of its functionality. In particular, we demonstrate how these functions could be used for large data analysis. With this cffdrs package, we provide a portal for not only a collection of R functions dealing with all available components in CFFDRS but also a platform for various additional developments that are useful for the understanding of fire occurrence and behavior. This is the first time that all relevant CFFDRS methods are incorporated into the same platform, which can be accessed by both the management and research communities. |
ArticleNumber | 5 |
Author | Flannigan, Mike D. Wotton, B. Mike Moore, Brett Anderson, Kerry Cantin, Alan S. Parisien, Marc-André Wang, Xianli |
Author_xml | – sequence: 1 givenname: Xianli surname: Wang fullname: Wang, Xianli email: xianli.wang@canada.ca organization: Great Lakes Forestry Centre, Canadian Forest Service, Natural Resources Canada, Department of Renewable Resources, University of Alberta – sequence: 2 givenname: B. Mike surname: Wotton fullname: Wotton, B. Mike organization: Great Lakes Forestry Centre, Canadian Forest Service, Natural Resources Canada, Faculty of Forestry, University of Toronto – sequence: 3 givenname: Alan S. surname: Cantin fullname: Cantin, Alan S. organization: Great Lakes Forestry Centre, Canadian Forest Service, Natural Resources Canada – sequence: 4 givenname: Marc-André surname: Parisien fullname: Parisien, Marc-André organization: Northern Forestry Centre, Canadian Forest Service, Natural Resources Canada – sequence: 5 givenname: Kerry surname: Anderson fullname: Anderson, Kerry organization: Northern Forestry Centre, Canadian Forest Service, Natural Resources Canada – sequence: 6 givenname: Brett surname: Moore fullname: Moore, Brett organization: Department of Renewable Resources, University of Alberta – sequence: 7 givenname: Mike D. surname: Flannigan fullname: Flannigan, Mike D. organization: Department of Renewable Resources, University of Alberta |
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Snippet | Introduction
The Canadian Forest Fire Danger Rating System (CFFDRS) is a globally known wildland fire risk assessment system, and two major components, the... IntroductionThe Canadian Forest Fire Danger Rating System (CFFDRS) is a globally known wildland fire risk assessment system, and two major components, the fire... The Canadian Forest Fire Danger Rating System (CFFDRS) is a globally known wildland fire risk assessment system, and two major components, the fire weather... INTRODUCTION: The Canadian Forest Fire Danger Rating System (CFFDRS) is a globally known wildland fire risk assessment system, and two major components, the... Abstract Introduction The Canadian Forest Fire Danger Rating System (CFFDRS) is a globally known wildland fire risk assessment system, and two major... |
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SubjectTerms | Climate change Components computer software Data analysis Data processing Decision making Earth and Environmental Science Environment fire behavior Fire behavior prediction system fire hazard Fire hazards fire weather Fire weather index system Fires Forest & brush fires Forest fire Forest fire risk Forest fires Forest management Forests Fuel moisture Hazards Landscape ecology Methods Moisture content prediction Prescribed fire Remote Sensing of Landscape Processes Risk assessment Wildfires |
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Title | cffdrs: an R package for the Canadian Forest Fire Danger Rating System |
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