Core Functionality for Environmental Time Series
Flag outliers in vectorized data
General table row sampling
Core functionality for environmental time series
Order mts time series by metadata values
Check mts object for validity
Collapse an mts time series object into a single time series
Combine multiple mts time series objects
Retain only distinct data records in mts$data
Extract dataframes from mts objects
General purpose data filtering for mts time series objects
Date filtering for mts time series objects
Datetime filtering for mts time series objects
General purpose metadata filtering for mts time series objects
Calculate distances from mts time series locations to a location o...
Test for an empty mts object
Test mts object for correct structure
Extract a column of metadata or data
Sample time series for an mts time series object
Reorder and subset time series within an mts time series object
Data-based subsetting of time series within an mts object.
Extend/contract mts time series to new start and end times
Subset time series based on their position
Create summary time series for an mts time series object
Trim mts time series by removing missing values
Trim mts time series object to full days
Pipe operator
Required columns for the 'meta' dataframe
Check sts object for validity
Combine multiple sts time series objects
Retain only distinct data records in sts$data
Extract dataframes from sts objects
General purpose data filtering for sts time series objects
Date filtering for sts time series objects
Datetime filtering for sts time series objects
Test for empty sts object
Test sts object for correct structure
Create summary time series for an sts time series object
Trim sts time series object to full days
Get time related information
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/>.
Useful links