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seas (version 0.2-1)

Seasonal analysis and graphics, especially for climatology

Description

Capable of deriving seasonal statistics, such as "normals", and analysis of seasonal data, such as departures. This package also has graphics capabilities for representing seasonal data, including boxplots for seasonal parameters, and bars for summed normals. There are many specific functions related to climatology, including precipitation normals, temperature normals, cumulative precipitation departures and precipitation interarrivals. However, this package is designed to represent any time-varying parameter with a discernible seasonal signal, such as found in hydrology and ecology.

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Version

Install

install.packages('seas')

Monthly Downloads

664

Version

0.2-1

License

BSD

Maintainer

M.W. Toews

Last Published

May 2nd, 2022

Functions in seas (0.2-1)

precip.dep

Cumulative precipitation departure
A1128551.DLY

MSC daily climate data file (DLY archive format) and instructions for Canadian Daily Climate Data CD-ROMs for analysis
mkfact

Make date into a time factor
plot.interarrival

Plot interarrivals for precipitation
hidden

Get labels and properties for seasonal graphs
seas.sum

Seasonal sum data object
image.seas.sum

Show a seasonal sum data object
seas.norm

Calculate annual and seasonal `normal' statistics, including precipitation normals
getstnname

Get station name
plot.seas.temp

Plot seasonal temperature normals
plot.year

Plot annual temperature and precipitation statistics
plot.seas.var

Plot seasonal normals of a given variable
plot.seas.norm

Plot seasonal normal of a variable, including precipitation normals
interarrival

Calculate the interarrivals between and within precipitation events
plot.seas.sum

Plot boxplots of normalized seasonal sums
sdsm

Read and write from SDSM
mscstn

Meteorological Survey of Canada station information
read.msc

Read a MSC archive file into a data.frame
mscdata

Meteorological Survey of Canada sample climate data
mksub

Make a subset of climate data
dathomog

Homogenize climate data from two weather stations