fChange (version 0.2.1)

Australian_Temp: Australian Climate Data

Description

Australian daily minimum temperature climate data for 8 different stations are provided. The data is taken from Australian Government Bureau of Meteorology.

Usage

Australian_Temp

Value

Australian daily minimum temperature climate data for 8 different stations:

Sydney

Sydney (Observatory Hill), taken from 1859 to 2012

Melbourne

Melbourne (Regional Office), taken from 1855 to 2012

Boulia

Boulia Airport, taken from 1888 to 2012

Cape_Otway

Cape Otway Lighthouse, taken from 1864 to 2012

Gayndah

Gayndah Post Office, taken from 1893 to 2009

Gunnedah

Gunnedah Pool, taken from 1876 to 2011

Hobart

Hobart (Ellerslie Road), taken from 1882 to 2012

Robe

Robe Comparison, taken from 1884 to 2012

Format

An object of class data.table or data.frame.

References

Australian Government Bureau of Meteorology

Examples

# NOT RUN {
library(fda)
library(reshape2)
fun_data_S = Australian_Temp$Sydney
D = 21
basis = create.fourier.basis(rangeval = c(0, 1), nbasis = D)
nas = which(is.na(fun_data_S$Days.of.accumulation.of.minimum.temperature))
fun_data_S = fun_data_S[-nas, ]
yy = unique(fun_data_S$Year)
mat.S = matrix(0, D, length(yy))
for (i in 1:length(yy)){
 aa = subset(fun_data_S, Year==yy[i])
 cc = aa$Minimum.temperature..Degree.C.
 a = which(is.na(cc))
 if (length(a)>0){
 cc = cc[-which(is.na(cc))]
 }else{
   cc = cc
 }
 f_Obs = Data2fd(argvals=seq(0, 1, length = length(cc)) , cc, basisobj = basis)
 mat.S[, i] = f_Obs$coefs
}
fdata = fd(mat.S, basis)
# note that the last year, has data only up to 6 months
# therefore we remove it
fdata = fdata[-length(yy)]
plot(fdata)
# }