Package: SpatialKWD 0.4.1

SpatialKWD: Spatial KWD for Large Spatial Maps

Contains efficient implementations of Discrete Optimal Transport algorithms for the computation of Kantorovich-Wasserstein distances between pairs of large spatial maps (Bassetti, Gualandi, Veneroni (2020), <doi:10.1137/19M1261195>). All the algorithms are based on an ad-hoc implementation of the Network Simplex algorithm. The package has four main helper functions: compareOneToOne() (to compare two spatial maps), compareOneToMany() (to compare a reference map with a list of other maps), compareAll() (to compute a matrix of distances between a list of maps), and focusArea() (to compute the KWD distance within a focus area). In non-convex maps, the helper functions first build the convex-hull of the input bins and pad the weights with zeros.

Authors:Stefano Gualandi [aut, cre]

SpatialKWD_0.4.1.tar.gz
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SpatialKWD.pdf |SpatialKWD.html✨
SpatialKWD/json (API)

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6 exports 0.00 score 1 dependencies 19 scripts 260 downloads

Last updated 2 years agofrom:7d79e02686. Checks:OK: 1 WARNING: 1 NOTE: 7. Indexed: yes.

Exports:compareAllcompareOneToManycompareOneToOnefocusAreaHistogram2DSolver

Dependencies:Rcpp