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UID:pretalx-foss4g-2022-GV7AJG@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T164500
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DESCRIPTION:Although integration of GRASS GIS with Python has been well sup
 ported for several years\, using GRASS with computational notebooks such a
 s Jupyter Notebooks was inconvenient up until recently. Computational note
 books allow users to share live code with in-line visualizations and narra
 tive text\, making them a powerful interactive teaching and collaboration 
 tool for geospatial analytics. In this talk\, we’ll introduce a new GRAS
 S GIS package\, grass.jupyter\, that enhances the existing GRASS Python AP
 I to allow Jupyter Notebook users to easily manage GRASS data\, visualize 
 data including spatio-temporal datasets and 3D visualizations\, and explor
 e vector attributes with Pandas. We’ll demonstrate how to create interac
 tive maps through integration with folium\, a leaflet library for Python\,
  and we’ll look at an example use case: using notebooks to teach an adva
 nced geospatial modeling course for graduate students at NC State Universi
 ty.\nGrass.jupyter is still under active development but is available expe
 rimentally in GRASS version 8.0 and officially with GRASS version 8.2.
DTSTAMP:20260404T021359Z
LOCATION:Room Onice
SUMMARY:Using GRASS GIS in Jupyter Notebooks: An Introduction to grass.jupy
 ter - Caitlin Haedrich\, Vaclav Petras
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/GV7AJG/
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