geomultistar: Multidimensional Queries Enriched with Geographic Data

Multidimensional systems allow complex queries to be carried out in an easy way. The geographical dimension, together with the temporal dimension, plays a fundamental role in multidimensional systems. Through this package, vector layers can be associated to the attributes of geographic dimensions, so that the results of multidimensional queries can be obtained directly as vector layers. The multidimensional structures on which we can define the queries can be created from a flat table or imported directly using functions from this package.

Version: 1.1.0
Depends: R (≥ 2.10)
Imports: dplyr, tibble, tidyselect, starschemar, sf, magrittr, rlang, stringr, snakecase, RSQLite, rgdal, tidyr, pander
Suggests: testthat, knitr, rmarkdown
Published: 2020-11-15
Author: Jose Samos ORCID iD [aut, cre, cph]
Maintainer: Jose Samos <jsamos at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-GB
Citation: geomultistar citation info
Materials: README NEWS
CRAN checks: geomultistar results


Reference manual: geomultistar.pdf
Vignettes: geomultistar: Geographical Queries on Multidimensional Data
Package source: geomultistar_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: geomultistar_1.1.0.tgz, r-oldrel: geomultistar_1.1.0.tgz
Old sources: geomultistar archive

Reverse dependencies:

Reverse imports: geogenr


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