CanadianWeather: Canadian average annual weather cycle

In fda: Functional Data Analysis

Canadian average annual weather cycle

Description

Daily temperature and precipitation at 35 different locations in Canada averaged over 1960 to 1994.

Usage

CanadianWeather
daily

Format

'CanadianWeather' and 'daily' are lists containing essentially the same data. 'CanadianWeather' may be preferred for most purposes; 'daily' is included primarily for compatibility with scripts written before the other format became available and for compatibility with the Matlab 'fda' code.

CanadianWeather

A list with the following components:

dailyAv

a three dimensional array c(365, 35, 3) summarizing data collected at 35 different weather stations in Canada on the following:

[,,1] = [,, 'Temperature.C']: average daily temperature for each day of the year

[,,2] = [,, 'Precipitation.mm']: average daily rainfall for each day of the year rounded to 0.1 mm.

[,,3] = [,, 'log10precip']: base 10 logarithm of Precipitation.mm after first replacing 27 zeros by 0.05 mm (Ramsay and Silverman 2006, p. 248).

place

Names of the 35 different weather stations in Canada whose data are summarized in 'dailyAv'. These names vary between 6 and 11 characters in length. By contrast, daily[["place"]] which are all 11 characters, with names having fewer characters being extended with trailing blanks.

province

names of the Canadian province containing each place

coordinates

a numeric matrix giving 'N.latitude' and 'W.longitude' for each place.

region

Which of 4 climate zones contain each place: Atlantic, Pacific, Continental, Arctic.

monthlyTemp

A matrix of dimensions (12, 35) giving the average temperature in degrees celcius for each month of the year.

monthlyPrecip

A matrix of dimensions (12, 35) giving the average daily precipitation in millimeters for each month of the year.

geogindex

Order the weather stations from East to West to North

daily

A list with the following components:

place

Names of the 35 different weather stations in Canada whose data are summarized in 'dailyAv'. These names are all 11 characters, with shorter names being extended with trailing blanks. This is different from CanadianWeather[["place"]], where trailing blanks have been dropped.

tempav

a matrix of dimensions (365, 35) giving the average temperature in degrees celcius for each day of the year. This is essentially the same as CanadianWeather[["dailyAv"]][,, "Temperature.C"].

precipav

a matrix of dimensions (365, 35) giving the average temperature in degrees celcius for each day of the year. This is essentially the same as CanadianWeather[["dailyAv"]][,, "Precipitation.mm"].

References

Ramsay, James O., Hooker, Giles, and Graves, Spencer (2009), Functional data analysis with R and Matlab, Springer, New York.

Ramsay, James O., and Silverman, Bernard W. (2005), Functional Data Analysis, 2nd ed., Springer, New York.

Ramsay, James O., and Silverman, Bernard W. (2002), Applied Functional Data Analysis, Springer, New York.

See Also

monthAccessories MontrealTemp

Examples

##
## 1.  Plot (latitude & longitude) of stations by region
##
with(CanadianWeather, plot(-coordinates[, 2], coordinates[, 1], type='n',
                           xlab="West Longitude", ylab="North Latitude",
                           axes=FALSE) )
Wlon <- pretty(CanadianWeather$coordinates[, 2])
axis(1, -Wlon, Wlon)
axis(2)

rgns <- 1:4
names(rgns) <- c('Arctic', 'Atlantic', 'Continental', 'Pacific')
Rgns <- rgns[CanadianWeather$region]
with(CanadianWeather, points(-coordinates[, 2], coordinates[, 1],
                             col=Rgns, pch=Rgns) )
legend('topright', legend=names(rgns), col=rgns, pch=rgns)

##
## 2.  Plot dailyAv[, 'Temperature.C'] for 4 stations
##
data(CanadianWeather)
# Expand the left margin to allow space for place names
op <- par(mar=c(5, 4, 4, 5)+.1)
# Plot
stations <- c("Pr. Rupert", "Montreal", "Edmonton", "Resolute")
matplot(day.5, CanadianWeather$dailyAv[, stations, "Temperature.C"],
        type="l", axes=FALSE, xlab="", ylab="Mean Temperature (deg C)")
axis(2, las=1)
# Label the horizontal axis with the month names
axis(1, monthBegin.5, labels=FALSE)
axis(1, monthEnd.5, labels=FALSE)
axis(1, monthMid, monthLetters, tick=FALSE)
# Add the monthly averages
matpoints(monthMid, CanadianWeather$monthlyTemp[, stations])
# Add the names of the weather stations
mtext(stations, side=4,
      at=CanadianWeather$dailyAv[365, stations, "Temperature.C"],
     las=1)
# clean up
par(op)

fda documentation built on Sept. 30, 2024, 9:19 a.m.