Balt: Ocean water level data for Baltimore, USA

In TrendSLR: Estimating Trend, Velocity and Acceleration from Sea Level Records

Description

Annual average ocean water level data from Permanent Service for Mean Sea Level (Holgate et al., 2013).

Usage

data(Balt)

Format

Time series data file with the first column the year and the second column the corresponding annual average ocean water level (in millimetres). File contains 115 records spanning the period from 1904 to 2018 with a single missing value in 1990.

Details

The raw (*.csv) form of this data set when converted to a time series object (refer ts) is used extensively in the examples throughout this manual.

Source

Permanent Service for Mean Sea Level (2019)

References

Holgate, S.J., Matthews, A., Woodworth, P.L., Rickards, L.J., Tamisiea, M.E., Bradshaw, E., Foden, P.R., Gordon, K.M., Jevrejeva, S. and Pugh, J., 2013. New data systems and products at the Permanent Service for Mean Sea Level. Journal of Coastal Research, 29(3), pp. 493-504.

See Also

custom.trend, gap.fillview, msl.trend, msl.fileplot, msl.screenplot, summary, s, t.

Examples

data(Balt) # typical data file structure
ts1 <- ts(Balt[2], start = Balt[1, 1]) # convert to time series object
plot(ts1, type = "l", xlab = "Year", ylab = "Annual Average Mean Sea Level (mm)",
main = 'BALTIMORE, USA')
str(Balt) # check structure of data file

TrendSLR documentation built on Aug. 7, 2019, 9:03 a.m.