clim_spread

The data given to this function during the calculations
performed by <code><a rd-options="" href="/link/ts2clm?package=heatwaveR&version=0.4.6" data-mini-rdoc="heatwaveR::ts2clm">ts2clm</a></code>.

data

The first day of the time series to use when spreading.

clim_start

The last day of the time series to use when spreading.

clim_end

The width of the smoothing window to be applied.
This width is doubled and centred around the point that the smoothing
occurs. Default = 5, which makes an overall window size of 11.

windowHalfWidth

An internal function that helps to create a wide time series that will
then be used by <code><a rd-options="" href="/link/clim_calc?package=heatwaveR&version=0.4.6" data-mini-rdoc="heatwaveR::clim_calc">clim_calc</a></code> within <code><a rd-options="" href="/link/ts2clm?package=heatwaveR&version=0.4.6" data-mini-rdoc="heatwaveR::ts2clm">ts2clm</a></code>
to produce a climatology as desired by the user.

The different methods for defining, detecting, and categorising the extreme events
known as heatwaves or cold-spells, as first proposed in Hobday et al. (2016) <doi: 10.1016/j.pocean.2015.12.014>
and Hobday et al. (2018) <https://www.jstor.org/stable/26542662>. The functions in this package work on both air
and water temperature data. These detection algorithms may be used on non-temperature data as well.

Robert W. Schlegel

heatwaveR

Detect Heatwaves and Cold-Spells

Albertus J. Smit

clim_spread function

The data given to this function during the calculations
performed by <code><a rd-options='' href='ts2clm'>ts2clm</a></code>.

An internal function that helps to create a wide time series that will
then be used by <code><a rd-options='' href='clim_calc'>clim_calc</a></code> within <code><a rd-options='' href='ts2clm'>ts2clm</a></code>
to produce a climatology as desired by the user.

clim_spread: Spead a time series wide to allow for a climatology to be calculated.

Description

Usage

Arguments

Value