arealDB: Harmonise and Integrate Heterogeneous Areal Data
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: |
0.6.3 |
| Depends: |
R (≥ 2.10) |
| Imports: |
checkmate, dplyr, magrittr, readr, rlang, sf, stringr, tibble, tidyr, tidyselect, tabshiftr, ontologics, purrr, rmapshaper, progress |
| Suggests: |
testthat, knitr, rmarkdown, bookdown, covr |
| Published: |
2023-07-03 |
| 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:
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