Detect Heatwaves and Cold-Spells
Calculate yearly means for event metrics.
Calculate the categories of events.
Calculate daily mean, threshold, and variance climatologies.
Spread a time series wide to allow for a climatology to be calculated.
Detect heatwaves and cold-spells.
Detect heatwaves and cold-spells.
Create a line plot of heatwaves or cold-spells.
Detect consecutive days in exceedance above or below of a given thresh...
Create 'flame' polygons.
Visualise a timeline of several event metrics as 'lollipops'.
heatwaveR: Detect Heatwaves and Cold-Spells
Create a timeline of selected event metrics as 'lollipops'.
Constructs a continuous, uninterrupted time series of temperatures (fa...
Pad NA gaps of user-defined width with interpolated values.
Detect proto-events based on a chosen criterion (column).
Detect proto-events based on a chosen criterion (column).
Detect the climatology for a time series.
Make a climatology from a daily time series.
Make a climatology from a daily time series.
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.
Useful links