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If you are using this package for the first time you will need to have Python installed and you will need to download the necessary modules.
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You can set up {reticulate} to install modules into a virtual or Conda environment. {reticulate} offers reticulate::install_python() and reticulate::install_miniconda() to download and set up Python/Conda if you have not yet done so.
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You can set up {reticulate} to install modules into a virtual environment. {reticulate} offers reticulate::install_python() to download and set up Python if you have not yet done so.
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For example, install a recent version of Python, and create a virtual environment called "r-reticulate"
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Finding the python binaries
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rosettaPTF::find_python()
-#> [1] "C:/Users/Andrew/Documents/.virtualenvs/r-reticulate/Scripts/python.exe"
find_python() provides heuristics for setting up {reticulate} to use Python in commonly installed locations.
The first attempt makes use of Sys.which() to find installations available in the user path directory.
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find_python() also provides an option for using ArcGIS Pro Conda environments–which may be needed for users who cannot install Conda by some other means. To use this option specify the arcpy_path argument or the rosettaPTF.arcpy_path option to locate both the ArcGIS Pro Conda environment and Python binaries in C:/Program Files/ArcGIS/Pro/bin/Python, for example:
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-rosettaPTF::find_python(arcpy_path = "C:/Program Files/ArcGIS/Pro/bin/Python")
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If automatic configuration via find_python() fails (returns NULL) you can manually set a path to the python executable with the {reticulate} RETICULATE_PYTHON environment variable: Sys.setenv(RETICULATE_PYTHON = "path/to/python") or reticulate::use_python("path/to/python")
Install rosetta-soil Python Module
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The {rosettaPTF} install_rosetta() method wraps reticulate::py_install("rosetta-soil").
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The {rosettaPTF} install_rosetta() method wraps reticulate::py_install("rosetta-soil"). You may not need to install the rosetta-soil module if your environment is set up, as {reticulate} will install/upgrade dependencies of packages as specified in the package configuration section of the DESCRIPTION file.
You can use install_rosetta() to install into custom environments by specifying envname as needed. After installing a new version of the module you should restart your R session.
rosettaPTF::install_rosetta()
-#> Using virtual environment "C:/Users/Andrew/Documents/.virtualenvs/r-reticulate" ...
-#> + "C:/Users/Andrew/Documents/.virtualenvs/r-reticulate/Scripts/python.exe" -m pip install --upgrade --no-user "rosetta-soil"
+#> Using virtual environment "C:/Users/Andrew/OneDrive/Documents/.virtualenvs/r-reticulate" ...
+#> + "C:/Users/Andrew/OneDrive/Documents/.virtualenvs/r-reticulate/Scripts/python.exe" -m pip install --upgrade --no-user rosetta-soil
#> [1] TRUE
Alternately, to install the module manually with pip you can run the following command. This assumes a Python 3 binary called python can be found on your path.
python -m pip install rosetta-soil
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You will notice the results for Ksat distribution are identical since the same input values were used, but the latter approach took longer to run. The time difference is the difference of estimating ~40 (1 estimate per mapunit key) versus ~30,000 (1 estimate per raster cell) sets of Rosetta parameters.