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An R package SpatialPack that implements routines to compute point estimatorsand perform hypothesis testing of the spatial association between twostochastic sequences is introduced. These methods address the spatialassociation between two processes that have been observed over the same spatiallocations. We briefly review the methodologies for which the routines aredeveloped. The core routines have been implemented in C and linked to R toensure a reasonable computational speed. Three examples are presented toillustrate the use of the package with both simulated and real data. Theparticular case of computing the association between two time series is alsoconsidered. Besides elementary plots and outputs we also provide a plot tovisualize the spatial correlation in all directions using a new graphical toolcalled codispersion map. The potential extensions of SpatialPack are alsodiscussed.

SpatialPack: Computing the Association Between Two Spatial Processes