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UID:pretalx-foss4g-europe-2024-workshops-PLYXKF@talks.staging.osgeo.org
DTSTART;TZID=EET:20240701T140000
DTEND;TZID=EET:20240701T180000
DESCRIPTION:In this workshop\, we will explore the combined use of GRASS GI
 S\, Python and R in a workflow of species distribution modeling (SDM). We 
 will use a time series of satellite land surface temperature data to deriv
 e relevant predictors. The satellite data processing will be performed usi
 ng GRASS GIS software functionality within a JupyterLab environment\, taki
 ng advantage of the latest GRASS GIS Python features for Jupyter. Then\, w
 e’ll read our predictors within R and perform SDM\, visualize and analyz
 e results there. Finally\, we'll exemplify how to write the output distrib
 ution maps back into GRASS for further analysis.\n\nFind the workshop mate
 rial at: <https://github.com/veroandreo/grass_foss4geu_2024>. We will run 
 all online using The Whole Tale platform (and hopefully it will work \;-))
 .
DTSTAMP:20260415T072118Z
LOCATION:Room 301
SUMMARY:Let's combine GRASS\, Python and R: Satellite time series data for 
 species distribution modeling - Veronica Andreo
URL:https://talks.staging.osgeo.org/foss4g-europe-2024-workshops/talk/PLYXK
 F/
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