BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//programme.europython.eu//europython-2023//talk//MMQTLC
BEGIN:VTIMEZONE
TZID:Europe/Prague
BEGIN:DAYLIGHT
DTSTART:20220721T000000
TZNAME:CEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0200
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20221030T030000
RDATE:20231029T030000
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20230326T030000
RDATE:20240331T030000
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:We can get more from spatial\, GIS and public domain datasets! - S
 zymonMolinski
DTSTART;TZID=Europe/Prague:20230721T153000
DTEND;TZID=Europe/Prague:20230721T160000
DTSTAMP:20260904T202456Z
UID:pretalx-europython-2023-MMQTLC@programme.europython.eu
DESCRIPTION:- Are prices of short-term rental apartments in your region si
 milar? How similar are they\, and at which distance do they tend to be cor
 related?\n- Do you have access to a few air pollution measurements but mus
 t provide a smooth map over the whole area?\n- Is your machine learning mo
 del based on remote sensing data from Earth Observation satellites\, and d
 o you want to include data sampled on Earth?\n- Do you work with county-le
 vel socio-economic factors\, but you want to get insights at a finer scale
 ?\n\n`if any(answer)`\, then come and see what we can do with the `pyinter
 polate` package designed exactly for spatial interpolation!
LOCATION:North Hall
URL:https://programme.europython.eu/europython-2023/talk/MMQTLC/
END:VEVENT
END:VCALENDAR