msltrend: Improved Techniques to Estimate Trend, Velocity and Acceleration from Sea Level Records
Version 1.0

Analysis of annual average ocean water level time series from long (minimum length 80 years) individual records, providing improved estimates of trend (mean sea level) and associated real-time velocities and accelerations. Improved trend estimates are based on Singular Spectrum Analysis methods. Various gap-filling options are included to accommodate incomplete time series records. The package also contains a forecasting module to consider the implication of user defined quantum of sea level rise between the end of the available historical record and the year 2100. A wide range of screen and pdf plotting options are available in the package.

Browse man pages Browse package API and functions Browse package files

AuthorPhil J Watson <philwatson.slr@gmail.com>
Date of publication2016-01-12 08:46:00
MaintainerPhil J Watson <philwatson.slr@gmail.com>
LicenseGPL (>= 3)
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("msltrend")

Man pages

Balt: Ocean water level data for Baltimore, USA
msl.forecast: Projected sea level rise integrated with historical record.
msl.pdf: Pdf plotting options.
msl.plot: Screen plotting options.
msltrend: msltrend: A package providing improved techniques to estimate...
msl.trend: Isolate trend component from mean sea level records.
s: sample 'msl.trend' object
summary: Summary outputs of decomposed time series.
t: sample 'msl.forecast' object

Functions

Balt Man page
msl.forecast Man page Source code
msl.pdf Man page Source code
msl.plot Man page Source code
msl.trend Man page Source code
msltrend Man page
msltrend-package Man page
s Man page
summary Man page Source code
t Man page

Files

inst
inst/extdata
inst/extdata/Balt.csv
NAMESPACE
data
data/Balt.RData
data/t.rda
data/s.rda
R
R/msltrend.R
R/balt-data.R
R/t-data.R
R/s-data.R
R/msl-name.R
MD5
DESCRIPTION
man
man/msl.pdf.Rd
man/t.Rd
man/msltrend.Rd
man/s.Rd
man/msl.forecast.Rd
man/msl.plot.Rd
man/msl.trend.Rd
man/summary.Rd
man/Balt.Rd
msltrend documentation built on May 19, 2017, 4:32 p.m.