MazamaTimeSeries: Core Functionality for Environmental Time Series

Utility functions for working with environmental time series data from known locations. The compact data model is structured as a list with two dataframes. A 'meta' dataframe contains spatial and measuring device metadata associated with deployments at known locations. A 'data' dataframe contains a 'datetime' column followed by columns of measurements associated with each "device-deployment". Ephemerides calculations are based on code originally found in NOAA's "Solar Calculator" <>.

Version: 0.3.0
Depends: R (≥ 4.0.0)
Imports: dplyr, geodist, lubridate, magrittr, methods, MazamaCoreUtils (≥ 0.5.2), MazamaRollUtils (≥ 0.1.3), rlang, stringr
Suggests: knitr, markdown, testthat (≥ 2.1.0), rmarkdown, roxygen2
Published: 2024-03-08
DOI: 10.32614/CRAN.package.MazamaTimeSeries
Author: Jonathan Callahan [aut, cre], Hans Martin [ctb], Eli Grosman [ctb], Roger Bivand [ctb], Sebastian Luque [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: MazamaTimeSeries results


Reference manual: MazamaTimeSeries.pdf
Vignettes: Developer Style Guide
Introduction to MazamaTimeSeries


Package source: MazamaTimeSeries_0.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MazamaTimeSeries_0.3.0.tgz, r-oldrel (arm64): MazamaTimeSeries_0.3.0.tgz, r-release (x86_64): MazamaTimeSeries_0.3.0.tgz, r-oldrel (x86_64): MazamaTimeSeries_0.3.0.tgz
Old sources: MazamaTimeSeries archive

Reverse dependencies:

Reverse imports: AirMonitor


Please use the canonical form to link to this page.