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MazamaTimeSeries  

Core Functionality for Environmental Time Series
View on CRAN: Click here


Download and install MazamaTimeSeries package within the R console
Install from CRAN:
install.packages("MazamaTimeSeries")

Install from Github:
library("remotes")
install_github("cran/MazamaTimeSeries")

Install by package version:
library("remotes")
install_version("MazamaTimeSeries", "0.3.1")



Attach the package and use:
library("MazamaTimeSeries")
Maintained by
Jonathan Callahan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-16
Latest Update: 2025-05-17
Description:
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" .
How to cite:
Jonathan Callahan (2022). MazamaTimeSeries: Core Functionality for Environmental Time Series. R package version 0.3.1, https://cran.r-project.org/web/packages/MazamaTimeSeries. Accessed 01 Jul. 2026.
Previous versions and publish date:
0.2.2 (2022-02-16 21:10), 0.2.5 (2022-04-05 20:52), 0.2.7 (2022-08-25 19:22), 0.2.8 (2022-10-13 20:42), 0.2.10 (2023-01-31 01:10), 0.2.12 (2023-05-08 19:40), 0.2.13 (2023-07-12 20:30), 0.2.14 (2023-09-08 07:10), 0.2.15 (2023-09-22 09:20), 0.2.16 (2024-01-22 22:32), 0.3.0 (2024-03-09 00:50)
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Complete documentation for MazamaTimeSeries
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