recipe r-cleangeostreamr

Automatic curation of spatially annotated data.

Homepage:

https://codebase.helmholtz.cloud/department-computational-biology/software/cleangeostreamr

License:

GPL-3.0

Recipe:

/r-cleangeostreamr/meta.yaml

Links:

biotools: cleangeostreamr

CleanGeoStreamR package is designed to automate the curation of spatially annotated data which frequently present challenges due to inconsistencies, errors, and missing information. CleanGeoStreamR tackles these issues by providing a range of tools for preprocessing, curating, and finalizing spatial data, ensuring its accuracy and integrity.

package r-cleangeostreamr

(downloads) docker_r-cleangeostreamr

versions:

1.0.0-0

depends r-base:

>=4.3,<4.4.0a0

depends r-devtools:

depends r-dplyr:

depends r-dt:

depends r-ggplot2:

depends r-jsonlite:

depends r-leaflet:

depends r-lubridate:

depends r-magrittr:

depends r-optparse:

depends r-r.utils:

depends r-readr:

depends r-rnaturalearth:

depends r-rnaturalearthdata:

depends r-sf:

depends r-sp:

depends r-stringi:

depends r-stringr:

depends r-tibble:

depends r-tidygeocoder:

depends r-tidyr:

depends r-tidyverse:

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install r-cleangeostreamr

and update with::

   mamba update r-cleangeostreamr

To create a new environment, run:

mamba create --name myenvname r-cleangeostreamr

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull quay.io/biocontainers/r-cleangeostreamr:<tag>

(see `r-cleangeostreamr/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/r-cleangeostreamr/README.html)