#datashader — Public Fediverse posts

RE: https://wisskomm.social/@ioer/115899330915763542

I really took a deep dive into #datashader with this map: Locals & Tourists in Germany, as derived from 67 Million Geo-Social Media Posts (2007-2022) in Germany. The data includes public shared posts from Instagram, Flickr, Twitter and iNaturalist.

I always wanted to create such a map, following the footsteps of Eric Fisher's Locals & Tourists dataset from 2011 [1].

I shared the code for producing this map here [2]. The repository is available here [3]. This includes some neat methods for various #geospatial processing tasks in #Python, such as exporting a datashader map to a #GeoTiff [4] with the help of #Xarray and #Rasterio.

Finally, all of this was created in a privacy-preserving way using #HyperLogLog, which allowed me to share the code and abstracted data publicly for full reproducibility and transparency. [6] #FAIR

Below you'll find the link to the (quite succinct) publication in Natur und Landschaft in Karten (#NuL).

[1]: https://www.flickr.com/photos/walkingsf/albums/72157624209158632
[2]: https://code.ad.ioer.info/wip/digital_traces_map/html/03_visualization.html
[3]: https://gitlab.hrz.tu-chemnitz.de/ad/digital_traces_map/
[4]: https://gitlab.hrz.tu-chemnitz.de/s7398234--tu-dresden.de/base_modules/-/blob/main/raster.py?ref_type=heads#L78
[5]: https://www.nul-online.de/article-7301410-1111/landschaft-und-natur-in-karten-.html
[6]: https://doi.org/10.71830/VDMUWW

RE: https://wisskomm.social/@ioer/115899330915763542

I really took a deep dive into #datashader with this map: Locals & Tourists in Germany, as derived from 67 Million Geo-Social Media Posts (2007-2022) in Germany. The data includes public shared posts from Instagram, Flickr, Twitter and iNaturalist.

I always wanted to create such a map, following the footsteps of Eric Fisher's Locals & Tourists dataset from 2011 [1].

I shared the code for producing this map here [2]. The repository is available here [3]. This includes some neat methods for various #geospatial processing tasks in #Python, such as exporting a datashader map to a #GeoTiff [4] with the help of #Xarray and #Rasterio.

Finally, all of this was created in a privacy-preserving way using #HyperLogLog, which allowed me to share the code and abstracted data publicly for full reproducibility and transparency. [6] #FAIR

Below you'll find the link to the (quite succinct) publication in Natur und Landschaft in Karten (#NuL).

[1]: https://www.flickr.com/photos/walkingsf/albums/72157624209158632
[2]: https://code.ad.ioer.info/wip/digital_traces_map/html/03_visualization.html
[3]: https://gitlab.hrz.tu-chemnitz.de/ad/digital_traces_map/
[4]: https://gitlab.hrz.tu-chemnitz.de/s7398234--tu-dresden.de/base_modules/-/blob/main/raster.py?ref_type=heads#L78
[5]: https://www.nul-online.de/article-7301410-1111/landschaft-und-natur-in-karten-.html
[6]: https://doi.org/10.71830/VDMUWW

Heard a nice talk today in #Berlin from Jean-Luc Stevens about #Holoviz at @pyberlin . #hvPlot and #Datashader look like a powerful combination to render large datasets. Jean-Luc works like @sophiamyang for #Anaconda
https://holoviz.org/index.html

Heard a nice talk today in #Berlin from Jean-Luc Stevens about #Holoviz at @pyberlin . #hvPlot and #Datashader look like a powerful combination to render large datasets. Jean-Luc works like @sophiamyang for #Anaconda
https://holoviz.org/index.html

Heard a nice talk today in #Berlin from Jean-Luc Stevens about #Holoviz at @pyberlin . #hvPlot and #Datashader look like a powerful combination to render large datasets. Jean-Luc works like @sophiamyang for #Anaconda
https://holoviz.org/index.html

I love the idea of turning #Jupyter notebooks into slides. I've figured out most issues with rendering interactive plots 👩‍💻 but there is one thing I'm stuck with:

#GeoViews & #Datashader works great in a #notebook but is not not rendered in the slides

The output is: BokehModel(combine_events=True, render_bundle={'docs_json': {'8bb4dc3b-92b9-4d6e-9b03-060b443bfa47': {'defs': …

Any pointers much appreciated

#nbconvert #bokeh #geopandas #holoviz #hvplot #datascience #Dataviz #VisualAnalytics

I love the idea of turning #Jupyter notebooks into slides. I've figured out most issues with rendering interactive plots 👩‍💻 but there is one thing I'm stuck with:

#GeoViews & #Datashader works great in a #notebook but is not not rendered in the slides

The output is: BokehModel(combine_events=True, render_bundle={'docs_json': {'8bb4dc3b-92b9-4d6e-9b03-060b443bfa47': {'defs': …

Any pointers much appreciated

#nbconvert #bokeh #geopandas #holoviz #hvplot #datascience #Dataviz #VisualAnalytics

I love the idea of turning #Jupyter notebooks into slides. I've figured out most issues with rendering interactive plots 👩‍💻 but there is one thing I'm stuck with:

#GeoViews & #Datashader works great in a #notebook but is not not rendered in the slides

The output is: BokehModel(combine_events=True, render_bundle={'docs_json': {'8bb4dc3b-92b9-4d6e-9b03-060b443bfa47': {'defs': …

Any pointers much appreciated

#nbconvert #bokeh #geopandas #holoviz #hvplot #datascience #Dataviz #VisualAnalytics

I love the idea of turning #Jupyter notebooks into slides. I've figured out most issues with rendering interactive plots 👩‍💻 but there is one thing I'm stuck with:

#GeoViews & #Datashader works great in a #notebook but is not not rendered in the slides

The output is: BokehModel(combine_events=True, render_bundle={'docs_json': {'8bb4dc3b-92b9-4d6e-9b03-060b443bfa47': {'defs': …

Any pointers much appreciated

#nbconvert #bokeh #geopandas #holoviz #hvplot #datascience #Dataviz #VisualAnalytics

I love the idea of turning #Jupyter notebooks into slides. I've figured out most issues with rendering interactive plots 👩‍💻 but there is one thing I'm stuck with:

#GeoViews & #Datashader works great in a #notebook but is not not rendered in the slides

The output is: BokehModel(combine_events=True, render_bundle={'docs_json': {'8bb4dc3b-92b9-4d6e-9b03-060b443bfa47': {'defs': …

Any pointers much appreciated

#nbconvert #bokeh #geopandas #holoviz #hvplot #datascience #Dataviz #VisualAnalytics