Access and analyze multi-band greenspace seasonality data cubes 
  (available for 1,028 major global cities), global Normalized Difference 
  Vegetation Index / land cover data from the European Space Agency 
  WorldCover 10m Dataset, and Sentinel-2-l2a images. Users can download data 
  using bounding boxes, city names, and filter by year or seasonal time window. 
  The package also supports calculating human exposure to greenspace using a 
  population-weighted greenspace exposure model introduced by 
  Chen et al. (2022) <doi:10.1038/s41467-022-32258-4> based on Global Human 
  Settlement Layer population data, and calculating a set of greenspace 
  morphology metrics at patch and landscape levels.

Methods for manipulating regression models and for describing these in a style adapted for medical journals.
  Contains functions for generating an HTML table with crude and adjusted estimates, plotting hazard ratio, plotting model
  estimates and confidence intervals using forest plots, extending this to comparing multiple models in a single forest plots.
  In addition to the descriptive methods, there are functions for the robust covariance matrix provided by the 'sandwich'
  package, a function for adding non-linearities to a model, and a wrapper around the 'Epi' package's Lexis() functions for
  time-splitting a dataset when modeling non-proportional hazards in Cox regressions.

Computes Gregory weights for a given number nodes and function order. Anthony Ralston and Philip Rabinowitz (2001) <ISBN:9780486414546>.

Functions which make using the Generalized Regression Estimator(GREG)
    J.N.K. Rao, Isabel Molina, (2015) <doi:10.3390/f11020244> 
    and the Generalized Regression Estimator Operating on Resolutions of Y (GREGORY) easier. 
    The functions are designed to work well within a forestry context, and estimate multiple 
    estimation units at once. Compared to other survey estimation packages, this function has greater flexibility when 
    describing the linear model.