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 pre-print at Ehrmann, Seppelt & Meyer (2020) <arXiv:1909.06610>.

Getting started

Package details

AuthorSteffen Ehrmann [aut, cre] (<https://orcid.org/0000-0002-2958-0796>), Arne Rümmler [aut, ctb] (<https://orcid.org/0000-0001-8637-9071>), Felipe Melges [ctb] (<https://orcid.org/0000-0003-0833-8973>), Carsten Mayer [ctb] (<https://orcid.org/0000-0003-3927-5856>)
MaintainerSteffen Ehrmann <steffen.science@funroll-loops.de>
LicenseGPL-3
Version0.3.4
URL https://gitlab.com/luckinet/software/arealDB
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("arealDB")

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arealDB documentation built on July 1, 2020, 10:23 p.m.