Opened 2 years ago
Closed 2 years ago
#2367 closed task (fixed)
Lightweight R-spatial bundle
Reported by: | bakaniko | Owned by: | |
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Priority: | critical | Milestone: | OSGeoLive15.0 |
Component: | OSGeoLive | Keywords: | R |
Cc: | osgeolive@… |
Description
Trying to install the sf R package without the whole tidyverse metapackage.
From blank ubuntu budgie 22.04, needs to be tested during build
# Cpp compilation dependencies sudo apt install make g++ # geospatial dependecies (should be already there) sudo apt install libgdal-dev lib-proj-dev lib-geos-dev libudunits2-dev # R installation sudo apt install --no-install-recommends r-base # after following CRAN steps see https://cran.r-project.org/ # special dependecies used by sf sudo apt install --no-install-recommends gfortran r-cran-classint r-cran-dplyr # install sf for geodata handlingand ggplot2 for mapping sudo apt install --no-install-recommends r-cran-sf r-cran-ggplot2
package size indications (from apt command) :
- r-base: 76,2 Mo
- g++: 29,5 Mo
- gfortran: 34,6 Mo
- r-cran-sf :23 Mo
- r-cran-classint : 2 Mo
- r-cran-dplyr : 14,1 Mo
Change History (7)
comment:1 by , 2 years ago
comment:2 by , 2 years ago
Cc: | added |
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Priority: | normal → critical |
comment:3 by , 2 years ago
Thank you Nicolas for the changes proposed:
https://github.com/OSGeo/OSGeoLive/commit/af27729707665ede2eda78101a598fd3c050931a
Can you please test the latest nightly iso and confirm the setup is ok?
comment:4 by , 2 years ago
I tested the latest nightly iso and r-cran-spdata
is missing from the packages, it has been commented in the install_R.sh
.
Works fine new iso build for me https://github.com/OSGeo/OSGeoLive/pull/327 if it helps
comment:7 by , 2 years ago
Resolution: | → fixed |
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Status: | new → closed |
Maybe we will need to install the spData packages for the notebook:
https://packages.ubuntu.com/en/jammy/r-cran-spdata
Package Size: 3,603.2 kB
Installed Size : 6,537.0 kB We only use the SIDS dataset for the notebook: https://github.com/OSGeo/OSGeoLive/blob/master/app-data/jupyter/R_spatial_introduction.ipynb
Maybe we can use another dataset from the ISO