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Just a recommendation but its worked for us when we've done geospatial R.
I thought python would be easier but pip and conda are just as cumbersome as dealing with CRAN even with environments.
To mitigate possible install problems, we added a test code to the setup to make sure learners were actually prepared for the workshop. https://ucsbcarpentry.github.io/2022-08-09-ucsb-r-geospatial/ We created an install test with some lines of code to make a mini map utilizing all the packages. And If the map wasn't created at the end, learners would email us for help.
The text was updated successfully, but these errors were encountered:
Just a recommendation but its worked for us when we've done geospatial R.
I thought python would be easier but pip and conda are just as cumbersome as dealing with CRAN even with environments.
To mitigate possible install problems, we added a test code to the setup to make sure learners were actually prepared for the workshop. https://ucsbcarpentry.github.io/2022-08-09-ucsb-r-geospatial/ We created an install test with some lines of code to make a mini map utilizing all the packages. And If the map wasn't created at the end, learners would email us for help.
The text was updated successfully, but these errors were encountered: