Implements a method of iteratively collapsing the rows of a
    contingency table, two at a time, by selecting the pair of categories whose
    combination yields a new table with the smallest loss of chi-squared, as
    described by Greenacre, M.J. (1988) <doi:10.1007/BF01901670>. The result is
    compatible with the class of object returned by the 'stats' package's
    hclust() function and can be used similarly (plotted as a dendrogram,
    cut, etc.). Additional functions are provided for automatic cutting and
    diagnostic plotting.

These Bayesian models written in the 'Stan' probabilistic language can be used to interpret green crab trapping and environmental DNA monitoring data, either independently or jointly. Detailed model information is found in Keller (2022) <doi:10.1002/eap.2561>.

Tools and methods to apply the model Geospatial Regression Equation
    for European Nutrient losses (GREEN); 
    Grizzetti et al. (2005) <doi:10.1016/j.jhydrol.2004.07.036>; 
    Grizzetti et al. (2008);
    Grizzetti et al. (2012) <doi:10.1111/j.1365-2486.2011.02576.x>; 
    Grizzetti et al. (2021) <doi:10.1016/j.gloenvcha.2021.102281>.

Provides tools for downloading, processing, and reporting daily and finalized 'GreenFeed' data.

Quantification, analysis, and visualization of urban greenness within city networks using data from 'OpenStreetMap' <https://www.openstreetmap.org>.

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.