[EuroPython 2023 — North Hall on 2023-07-21] https://ep2023.europython.eu/session/we-can-get-more-from-spatial-gis-and-public-domain-datasets - Are prices of short-term rental apartments in your region similar? How similar are they, and at which distance do they tend to be correlated? - Do you have access to a few air pollution measurements but must provide a smooth map over the whole area? - Is your machine learning model based on remote sensing data from Earth Observation satellites, and do you want to include data sampled on Earth? - Do you work with county-level socio-economic factors, but you want to get insights at a finer scale? `if any(answer)`, then come and see what we can do with the `pyinterpolate` package designed exactly for spatial interpolation! This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/