  An R package SpatialPack that implements routines to compute point estimators
and perform hypothesis testing of the spatial association between two
stochastic sequences is introduced. These methods address the spatial
association between two processes that have been observed over the same spatial
locations. We briefly review the methodologies for which the routines are
developed. The core routines have been implemented in C and linked to R to
ensure a reasonable computational speed. Three examples are presented to
illustrate the use of the package with both simulated and real data. The
particular case of computing the association between two time series is also
considered. Besides elementary plots and outputs we also provide a plot to
visualize the spatial correlation in all directions using a new graphical tool
called codispersion map. The potential extensions of SpatialPack are also
discussed.
