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rmg55/container_stacks: SCINetGeoWS_2020

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 07 Jul 2020Publisher:Zenodo
Authors: Rowan Gaffney;

doi: 10.5281/zenodo.3956551 , 10.5281/zenodo.3934725

rmg55/container_stacks: SCINetGeoWS_2020

Abstract

SCINetGeoWS_2020is for the container used in the SCINet 2020 Geospatial Workshop. The container can be found on DockerHub at (https://hub.docker.com/repository/docker/rowangaffney/data_science_im_rs/tags)[https://hub.docker.com/repository/docker/rowangaffney/data_science_im_rs/tags], and includes, but is not limited to: JupyterLab IDE, with a proxies to: RStudio IDE VSCode IDE (https://github.com/cdr/code-server) 3 conda environments Base - the standard conda environment py_geo - python environment with many distributed computing and geospatial packages r_geo - R environment with many geospatial packages More details about this container can be found at https://microbadger.com/images/rowangaffney/data_science_im_rs

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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