Many relevant applications in the environmental and socioeconomic sciences use areal data, such as biodiversity checklists, agricultural statistics, or socioeconomic surveys. For applications that surpass the spatial, temporal or thematic scope of any single data source, data must be integrated from several heterogeneous sources. Inconsistent concepts, definitions, or messy data tables make this a tedious and error-prone process. 'arealDB' tackles those problems and helps the user to integrate a harmonised databases of areal data. Read the paper at Ehrmann, Seppelt & Meyer (2020) <doi:10.1016/j.envsoft.2020.104799>.
Version: 0.9.4 Depends: R (≥ 3.5.0) Imports: archive, beepr, checkmate, dplyr, fuzzyjoin, magrittr, ontologics, progress, purrr, readr, rlang, rmapshaper, stringr, sf, tabshiftr, tibble, tidyr, tidyselect Suggests: testthat, knitr, rmarkdown, bookdown, covr Published: 2025-01-20 DOI: 10.32614/CRAN.package.arealDB Author: Steffen Ehrmann [aut, cre], Arne Rümmler [aut, ctb], Felipe Melges [ctb], Carsten Meyer [aut] Maintainer: Steffen Ehrmann <steffen.ehrmann at posteo.de> BugReports: https://github.com/luckinet/arealDB/issues License: GPL-3 URL: https://github.com/luckinet/arealDB NeedsCompilation: no Language: en-gb Materials: README NEWS CRAN checks: arealDB results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=arealDB to link to this page.
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