How to install the R spatial library Terra on a conda enviroment - Tutorial
We have researched advanced tools as programming languages for spatial analysis, so far Python was our de facto choice because of its learning rate and easy to use. However, when working with a high amount of data and performing massive spatial queries some questions arise about the performance of Python and then we look at some other options as R, Julia or Rust. We have made a tutorial for the installation of the advanced spatial package Terra on a R kernel in Jupyter under a Conda environment, the tutorial covers all the installation steps in Windows together with some examples to load and plot vector and raster data.
Input data
You can download the input files from this link:
https://hatarilabs.com/ih-en/how-to-i...
