This Python project that performs point interpolation within a given polygon. By default, it uses world country boundaries from OpenStreetMap (OSM), but other boundaries can be used if needed. The point layer is automatically generated to fit within the selected boundaries. Two interpolation python libraries are used: scipy.interpolate and matplotlib.tri.

The project runs in a Docker container, with commands specified in the Makefile.

Code is linted using flake8 with --max-line-length=120.
Code formatting is validated using Black.
pre-commit is used to run these checks locally before files are pushed to Git.
The GitHub Actions pipeline also runs these checks.

To view the required parameters, run: python run_interpolation_methods.py --help

python run_interpolation_methods.py -l scipy -p ../multipolygons.shp -t ../random_points.gpkg -m linear  -o ../linear.tif

or

python run_interpolation_methods.py -l  mpl -p ../multipolygons.shp -t ../random_points.gpkg -m linear_tri_interpolator -o ../linear_mpl.tif

Interpolation method can be: linear, cubic, or nearest for scipy, or linear_tri_interpolator, cubic_geom_min_e, or interp_cubic_geom for mpl.

run as: ./run_interpolation_methods.sh scipy ../multipolygons.shp ../random_points.gpkg linear ../linear_scipy.tif ../

or

./run_interpolation_methods.sh mpl ../multipolygons.shp ../random_points.gpkg linear_tri_interpolator ../linear_mpl.tif ../