Provides the tables from the 'Sean Lahman Baseball Database' as
    a set of R data.frames. It uses the data on pitching, hitting and fielding
    performance and other tables from 1871 through 2024, as recorded in the 2025
    version of the database. Documentation examples show how many baseball
    questions can be investigated.

Convert Leaf Area Index (LAI) from the Normalized Difference Vegetation Index (NDVI) using available equations from literature. 
    Detailed description of conversion equations in Bajocco et al. 2022 <doi:10.3390/rs14153554>.

Calculates fetch (open water distance) and wave exposure metrics
    for lake sampling points. Downloads lake boundaries from 'OpenStreetMap',
    calculates directional fetch using a ray-casting approach, and optionally
    integrates National Hydrography Dataset ('NHD') data
    <https://www.usgs.gov/national-hydrography> for hydrological context
    including outlet and inlet locations. Can estimate lake depth from surface
    area using empirical relationships, and integrate historical weather data
    for cumulative wave energy calculations. Includes an optional interactive
    'shiny' application for visualization.

A collection of tools for the calculation of freewater metabolism
    from in situ time series of dissolved oxygen, water temperature, and,
    optionally, additional environmental variables. LakeMetabolizer implements
    5 different metabolism models with diverse statistical underpinnings:
    bookkeeping, ordinary least squares, maximum likelihood, Kalman filter,
    and Bayesian. Each of these 5 metabolism models can be combined with
    1 of 7 models for computing the coefficient of gas exchange across the
    air–water interface (k). LakeMetabolizer also features a variety of
    supporting functions that compute conversions and implement calculations
    commonly applied to raw data prior to estimating metabolism (e.g., oxygen
    saturation and optical conversion models).

Lake morphometry metrics are used by limnologists to understand,
    among other things, the ecological processes in a lake. Traditionally, these
    metrics are calculated by hand, with planimeters, and increasingly with
    commercial GIS products. All of these methods work; however, they are either
    outdated, difficult to reproduce, or require expensive licenses to use. The
    'lakemorpho' package provides the tools to calculate a typical suite
    of these metrics from an input elevation model and lake polygon. The metrics
    currently supported are: fetch, major axis, minor axis, major/minor axis 
    ratio, maximum length, maximum width, mean width, maximum depth, mean depth, 
    shoreline development, shoreline length, surface area, and volume.