fire01meantemp: Fire and extreme temperature in portugal
In Alowis/mobirep: Models Bivariate Dependence and Produces Bivariate Return Periods
fire01meantemp R Documentation
Fire and extreme temperature in portugal
Description
Bivariate dataset of daily mean temperature and number of wildfires in the Porto
district (Portugal) for the period 1980 to 2005. Daily mean temperature data
from E-OBS (Cornes et al. (2018) <10.1029/2017JD028200>
and wildfire data from Pereira et al. (2011) <10.5194/nhess-11-3343-2011>.
Usage
data(porto)
Format
Two column dataframe:
#'
temp2.temperature (mean daily temperature in °C)
temp2.nb (daily number of wildfires)
References
Tilloy, A., Malamud, B.D., Winter, H. and Joly-Laugel, A., 2020.
Evaluating the efficacy of bivariate extreme modelling approaches
for multi-hazard scenarios. Natural Hazards and Earth System Sciences, 20(8), pp.2091-2117.
Alowis/mobirep documentation built on April 21, 2024, 7:51 p.m.
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| fire01meantemp | R Documentation |
Fire and extreme temperature in portugal
Description
Bivariate dataset of daily mean temperature and number of wildfires in the Porto district (Portugal) for the period 1980 to 2005. Daily mean temperature data from E-OBS (Cornes et al. (2018) <10.1029/2017JD028200> and wildfire data from Pereira et al. (2011) <10.5194/nhess-11-3343-2011>.
Usage
data(porto)
Format
Two column dataframe: #'
temp2.temperature (mean daily temperature in °C)
temp2.nb (daily number of wildfires)
References
Tilloy, A., Malamud, B.D., Winter, H. and Joly-Laugel, A., 2020. Evaluating the efficacy of bivariate extreme modelling approaches for multi-hazard scenarios. Natural Hazards and Earth System Sciences, 20(8), pp.2091-2117.
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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