Barycenter Methods for Spatial Point Patterns

Computes a point pattern in R^2 or on a graph that is representative of a collection of many data patterns. The result is an approximate barycenter (also known as Fréchet mean or prototype) based on a transport-transform metric. Possible choices include Optimal SubPattern Assignment (OSPA) and Spike Time metrics. Details can be found in Müller, Schuhmacher and Mateu (2020) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.2-0 by Dominic Schuhmacher, 10 months ago

Browse source code at

Authors: Raoul Müller [aut] , Dominic Schuhmacher [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports spatstat.geom, spatstat.core, spatstat.linnet, grDevices, graphics, stats, Rcpp

Depends on spatstat

Linking to Rcpp

See at CRAN