The maybe type represents the possibility of some value or nothing. 
    It is often used instead of throwing an error or returning `NULL`.
    The advantage of using a maybe type over `NULL` is that it is both composable 
    and requires the developer to explicitly acknowledge the potential absence 
    of a value, helping to avoid the existence of unexpected behaviour.

A suite of utility functions providing functionality commonly
    needed for production level projects such as logging, error handling,
    cache management and date-time parsing. Functions for date-time parsing and 
    formatting require that time zones be specified explicitly, avoiding a common 
    source of error when working with environmental time series.

Utility functions for discovering and managing metadata 
    associated with spatially unique "known locations". Applications include
    all fields of environmental monitoring (e.g. air and water quality) where 
    data are collected at stationary sites.

Fast rolling-window functions for numeric vectors.
    Designed for efficient processing of environmental time-series data.

A suite of convenience functions for generating US state and county
    thematic maps using datasets from the MazamaSpatialUtils package.

A suite of conversion functions to create internally standardized
    spatial polygons data frames. Utility functions use these data sets to
    return values such as country, state, time zone, watershed, etc. associated
    with a set of longitude/latitude pairs. (They also make cool maps.)

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/>.