Support for reading/writing simple feature ('sf') spatial objects from/to 'Parquet' files. 'Parquet' files are an open-source, column-oriented data storage format from Apache (<https://parquet.apache.org/>), now popular across programming languages. This implementation converts simple feature list geometries into well-known binary format for use by 'arrow', and coordinate reference system information is maintained in a standard metadata format.

Provides a function sfc() to compute the substance flow
    with the input files --- "data" and "model". If sample.size is
    set more than 1, uncertainty analysis will be executed while
    the distributions and parameters are supplied in the file "data".

Computing centrographic statistics (central points, standard 
    distance, standard deviation ellipse, standard deviation box) for 
    observations taken at point locations in 2D or 3D. The 'sfcentral' library 
    was inspired in 'aspace' package but conceived to be used in a spatial
    'tidyverse' context.

Routines to write, simulate, and validate stock-flow consistent (SFC) models. The accounting structure of SFC models are described in Godley and Lavoie (2007, ISBN:978-1-137-08599-3). The algorithms implemented to solve the models (Gauss-Seidel and Broyden) are described in Kinsella and O'Shea (2010) <doi:10.2139/ssrn.1729205> and Peressini and Sullivan (1988, ISBN:0-387-96614-5).

A collection of pre-optimized space-filling designs, for up to ten 
    parameters, is contained here. Functions are provided to access designs 
    described by Husslage et al (2011) <doi:10.1007/s11081-010-9129-8> and
    Wang and Fang (2005) <doi:10.1142/9789812701190_0040>. The design types 
    included are Audze-Eglais, MaxiMin, and uniform.

Build a constrained high quality Delaunay triangulation from simple 
   features objects, applying constraints based on input line segments, and 
   triangle properties including maximum area, minimum internal angle. The 
   triangulation code in 'RTriangle' uses the method of Cheng, Dey and Shewchuk 
   (2012, ISBN:9781584887300). For a low-dependency alternative with low-quality 
   path-based constrained  triangulation see <https://CRAN.R-project.org/package=decido> and for high-quality configurable
    triangulation see <https://github.com/hypertidy/anglr>. Also consider comparison
    with the 'GEOS' lib which since version 3.10.0 includes a low quality 
    polygon triangulation method that starts with ear clipping and refines to Delaunay.