stxplore: Exploration of Spatio-Temporal Data

A set of statistical tools for spatio-temporal data exploration. Includes simple plotting functions, covariance calculations and computations similar to principal component analysis for spatio-temporal data. Can use both dataframes and stars objects for all plots and computations. For more details refer 'Spatio-Temporal Statistics with R' (Christopher K. Wikle, Andrew Zammit-Mangion, Noel Cressie, 2019, ISBN:9781138711136).

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: fields, ggmap, ggplot2, ggridges, gridExtra, gstat, lubridate, magrittr, RColorBrewer, rlang, sp, spacetime, stars, stats, tidyr
Suggests: dplyr, knitr, rmarkdown, ncmeta, units, maps, cubelyr
Published: 2023-02-03
Author: Sevvandi Kandanaarachchi ORCID iD [aut, cre], Petra Kunhert ORCID iD [aut], Andrew Zammit-Mangion ORCID iD [ctb]
Maintainer: Sevvandi Kandanaarachchi <sevvandik at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: stxplore results


Reference manual: stxplore.pdf
Vignettes: Exploration using dataframes
Using stars objects


Package source: stxplore_0.1.0.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): stxplore_0.1.0.tgz, r-release (arm64): stxplore_0.1.0.tgz, r-oldrel (arm64): stxplore_0.1.0.tgz, r-prerel (x86_64): stxplore_0.1.0.tgz, r-release (x86_64): stxplore_0.1.0.tgz


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