In this example we are going to interpolate temperature data from the german weather service (DWD) downlaoded through the python package wetterdienst.
In order to find a north-south trend in the data we will compare results from regression and universal kriging provided by GSTools.
The workflow is organized by the following structure:
data/- downloaded temperature data and german border linesrc/00_data_download.py- downloading routines01_dwd_krige.py- interpolation and comparison plot generation
results/- all produced results
Main Python dependencies are stored in requirements.txt:
gstools==1.3.1
matplotlib
cartopy==0.18.0
geopandas==0.8.1
wetterdienst==0.13.0
You can install them with pip (potentially in a virtual environment):
pip install -r requirements.txtYou can contact us via info@geostat-framework.org.
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