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 pre-print at Ehrmann, Seppelt & Meyer (2020) .


Reference manual

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0.3.9 by Steffen Ehrmann, a month ago


Report a bug at https://github.com/EhrmannS/arealDB/issues

Browse source code at https://github.com/cran/arealDB

Authors: Steffen Ehrmann [aut, cre] , Arne R├╝mmler [aut, ctb] , Felipe Melges [ctb] , Carsten Meyer [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports checkmate, dplyr, magrittr, readr, rlang, sf, stringr, tibble, tidyr, tidyselect, tabshiftr

Suggests testthat, knitr, rmarkdown, covr

See at CRAN