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 geographic data 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: 1.2.1
Depends: R (≥ 2.10)
Imports: dplyr, generics, purrr, rlang, RSQLite, sf, tibble, tidyr, tidyselect
Suggests: knitr, pander, rmarkdown, testthat
Published: 2024-01-09
DOI: NA
Author: Jose Samos ORCID iD [aut, cre], Universidad de Granada [cph]
Maintainer: Jose Samos <jsamos at ugr.es>
BugReports: https://github.com/josesamos/geomultistar/issues
License: MIT + file LICENSE
URL: https://josesamos.github.io/geomultistar/, https://github.com/josesamos/geomultistar
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: geomultistar results

Documentation:

Reference manual: geomultistar.pdf
Vignettes: Queries on Multidimensional Data Enriched with Geographic Information

Downloads:

Package source: geomultistar_1.2.1.tar.gz
Windows binaries: r-devel: geomultistar_1.2.1.zip, r-release: geomultistar_1.2.1.zip, r-oldrel: geomultistar_1.2.1.zip
macOS binaries: r-release (arm64): geomultistar_1.2.1.tgz, r-oldrel (arm64): geomultistar_1.2.1.tgz, r-release (x86_64): geomultistar_1.2.1.tgz, r-oldrel (x86_64): geomultistar_1.2.1.tgz
Old sources: geomultistar archive

Reverse dependencies:

Reverse imports: geogenr

Linking:

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