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" <https://gml.noaa.gov/grad/solcalc/>.

Version: 0.2.10
Depends: R (≥ 3.5.0)
Imports: dplyr, geodist, lubridate, magrittr, methods, MazamaCoreUtils (≥ 0.4.10), MazamaRollUtils (≥ 0.1.3), rlang, stringr
Suggests: knitr, markdown, testthat (≥ 2.1.0), rmarkdown, roxygen2
Published: 2023-01-31
Author: Jonathan Callahan [aut, cre], Hans Martin [ctb], Eli Grosman [ctb], Roger Bivand [ctb], Sebastian Luque [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan at gmail.com>
BugReports: https://github.com/MazamaScience/MazamaTimeSeries/issues
License: GPL-3
URL: https://github.com/MazamaScience/MazamaTimeSeries
NeedsCompilation: no
Materials: README NEWS
CRAN checks: MazamaTimeSeries results

Documentation:

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

Downloads:

Package source: MazamaTimeSeries_0.2.10.tar.gz
Windows binaries: r-devel: MazamaTimeSeries_0.2.10.zip, r-release: MazamaTimeSeries_0.2.10.zip, r-oldrel: MazamaTimeSeries_0.2.8.zip
macOS binaries: r-release (arm64): MazamaTimeSeries_0.2.10.tgz, r-oldrel (arm64): MazamaTimeSeries_0.2.10.tgz, r-release (x86_64): MazamaTimeSeries_0.2.10.tgz, r-oldrel (x86_64): MazamaTimeSeries_0.2.10.tgz
Old sources: MazamaTimeSeries archive

Reverse dependencies:

Reverse imports: AirMonitor

Linking:

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