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Spatial data exploration in Jupyter notebooks

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 Graser, Anita

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Spatial data exploration in Jupyter notebooks
Subtitle
The power of interactive vizualizations with GeoPandas and HoloViews
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637
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CC Attribution 2.0 Belgium:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
Recent developments in Python data visualization libraries (particularly HoloViews & GeoViews) enable data analysts and scientists to quickly and intuitively create interactive data visualizations. In this talk, we dive into examples of visualizing open government data from public web services as well as large movement datasets.